Large instance local search with trained XGBoost regressor model

Objective

Test the working and performance of a previously trained XGBoost Ranking model in a local search application.

Background

In previous experiments, we trained an XGBoost Classifier model to predict the objective values of neighboring schedules. In this experiment, we will use the trained models to perform a local search to find the best schedule.

Hypothesis

The XGBoost Classifier model will be able to efficiently guide the local search algorithm to find a schedule with a lower objective value than the initial schedule.

Methodology

Tools and Materials

import numpy as np
import json
from itertools import chain, combinations
import sys
from math import comb  # Available in Python 3.8 and later
import xgboost as xgb
import pickle
from typing import List, Tuple, Dict, Iterable, TypeVar, Union

Load Parameters

N = 22 # Number of patients
T = 20 # Number of intervals
l = 10

file_path_parameters = f"datasets/parameters_{N}_{T}_{l}.pkl"
# Load the data from the pickle file
with open(file_path_parameters, 'rb') as f:
    data_params = pickle.load(f)

N = data_params['N'] # Number of patients
T = data_params['T'] # Number of intervals
d = data_params['d'] # Length of each interval
max_s = data_params['max_s'] # Maximum service time
q = data_params['q'] # Probability of a scheduled patient not showing up
w = data_params['w'] # Weight for the waiting time in objective function
l = data_params['l']
  
num_schedules = data_params['num_schedules'] # Number of schedules to sample
convolutions = data_params['convolutions']
print(f"Parameters loaded: N={N}, T={T}, l={l}, d={d}, max_s={max_s}, q={q}, w={w}, num_schedules={num_schedules}")

Parameters loaded: N=22, T=20, l=10, d=5, max_s=20, q=0.2, w=0.1, num_schedules=100000

Experimental Design

We will use the trained XGBoost Classifier model to guide a local search algorithm to find the best schedule. The local search algorithm will start with an initial schedule and iteratively explore the neighborhood of the current schedule to find a better one. As an initial schedule, we will use the schedule with the lowest objective value from the training dataset that was used to train the XGBoost Classifier model.

Variables

• Independent Variables:
  • Initial schedule, trained XGBoost Classifier
• Dependent Variables:
  • Speed, accuracy, and convergence of the local search algorithm.

Data Collection

We will use the training dataset to initialize the local search algorithm.

Sample Size and Selection

Experimental Procedure

Figure 1: Local search algorithm

Results

Load the initial best schedule.

Start with the best solution found so far \(\{x^*, C(x^*)\}\) from the training set.

# Load the best solution from the training dataset
file_path_schedules = f"datasets/neighbors_and_objectives_{N}_{T}_{l}.pkl"
# Load the data from the pickle file
with open(file_path_schedules, 'rb') as f:
    data_sch = pickle.load(f)
    
print(f"The data has following keys: {[key for key in data_sch.keys()]}")

# Step 1: Flatten the objectives into a 1D array
flattened_data = [value for sublist in data_sch['objectives'] for value in sublist]

# Step 2: Find the index of the minimum value
min_index = np.argmin(flattened_data)

# Step 3: Convert that index back to the original 2D structure
row_index = min_index // 2  # Assuming each inner list has 2 values
col_index = min_index % 2

print(f"The minimum objective value is at index [{row_index}][{col_index}].\nThis is schedule: {data_sch['neighbors_list'][row_index][col_index]} with objective value {data_sch['objectives'][row_index][col_index]}.")

# Set the initial schedule to the best solution from the training dataset
initial_schedule = data_sch['neighbors_list'][row_index][col_index]

The data has following keys: ['neighbors_list', 'objectives', 'rankings']
The minimum objective value is at index [62593][1].
This is schedule: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7] with objective value 94.11332405341892.

Generate the neighborhood of \(x^*\).

Define \(V^*\).

Define the vectors \(V^*\) as follows:

\[ \left\{ \begin{array}{c} \vec{v_1}, \\ \vec{v_2}, \\ \vec{v_3}, \\ \vdots \\ \vec{v_{T-1}}, \\ \vec{v_T} \\ \end{array} \right\} = \left\{ \begin{array}{c} (-1, 0,...., 0, 1), \\ (1, -1, 0,...., 0), \\ (0, 1, -1,...., 0), \\ \vdots \\ (0,...., 1, -1, 0), \\ (0,...., 0, 1, -1) \\ \end{array} \right\} \]

Define \(U_t\).

Define \(U_t\) as the set of all possible subsets of \(V^*\) such that each subset contains exactly \(t\) elements, i.e.,

\[ U_t = \{ S \subsetneq V^* \mid |S| = t \}, \quad t \in \{1, 2, \dots, T\}. \]

from functions import get_v_star

def powerset(iterable, size=1):
    "powerset([1,2,3], 2) --> (1,2) (1,3) (2,3)"
    return [[i for i in item] for item in combinations(iterable, size)]
  
x = initial_schedule

# Generate a matrix 'v_star' using the 'get_v_star' function
v_star = get_v_star(T)

# Generate all possible non-empty subsets (powerset) of the set {0, 1, 2, ..., t-1}
# 'ids' will be a list of tuples, where each tuple is a subset of indices
size = 2
ids = powerset(range(T), size)
len(ids)
ids[:T]

[[0, 1],
 [0, 2],
 [0, 3],
 [0, 4],
 [0, 5],
 [0, 6],
 [0, 7],
 [0, 8],
 [0, 9],
 [0, 10],
 [0, 11],
 [0, 12],
 [0, 13],
 [0, 14],
 [0, 15],
 [0, 16],
 [0, 17],
 [0, 18],
 [0, 19],
 [1, 2]]

Define the neighborhood of \(x\)

Define the neighborhood of \(x\) as all vectors of the form \(x + u_{tk}\) with \(\forall \, u_{tk} \in U_t\).

def get_neighborhood(x, v_star, ids, verbose=False):
    x = np.array(x)
    p = 50
    if verbose:
        print(f"Printing every {p}th result")
    # Initialize the list 'neighborhood' to store the vectors in the neighborhood of 'x'
    neighborhood = []
    # Loop over all possible non-empty subsets of indices
    for i in range(len(ids)):
        # Initialize the vector 'neighbor' to store the sum of vectors in 'v_star' corresponding to the indices in 'ids[i]'
        neighbor = np.zeros(len(x), dtype=int)
        # Loop over all indices in 'ids[i]'
        for j in range(len(ids[i])):
            if verbose:
                print(f"v_star{[ids[i][j]]}: {v_star[ids[i][j]]}")
            # Add the vector in 'v_star' corresponding to the index 'ids[i][j]' to 'neighbor'
            neighbor += v_star[ids[i][j]]
        # Append the vector 'x' plus 'neighbor' to the list 'neighborhood'
        x_n = x + neighbor
        if i%p==0:
            if verbose:
                print(f"x, x', delta:\n{x},\n{x_n},\n{neighbor}\n----------------- ")
        neighborhood.append(x_n)
    
    # Convert the list 'neighborhood' into a NumPy array
    neighborhood = np.array(neighborhood)
    if verbose:
        print(f"Size of raw neighborhood: {len(neighborhood)}")
    # Create a mask for rows with negative values
    mask = ~np.any(neighborhood < 0, axis=1)
    # Filter out rows with negative values using the mask
    if verbose:
        print(f"filtered out: {len(neighborhood)-mask.sum()} schedules with negative values.")
    filtered_neighborhood = neighborhood[mask]
    if verbose:
        print(f"Size of filtered neighborhood: {len(filtered_neighborhood)}")
    return filtered_neighborhood

# Example of function call:
# This will generate the neighborhood of the vector 'x' using the vectors in 'v_star' and the indices in 'ids'
test_nh = get_neighborhood(x, v_star, ids)
print(f"All neighborhoods with {size} patients switched:\n x = {np.array(x)}: \n {test_nh}")

All neighborhoods with 2 patients switched:
 x = [2 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 1 1 1 7]: 
 [[2 0 1 ... 1 1 8]
 [1 2 0 ... 1 1 8]
 [1 1 1 ... 1 1 8]
 ...
 [2 1 1 ... 1 0 7]
 [2 1 1 ... 0 2 6]
 [2 1 1 ... 2 1 6]]

Local search algorithm

def local_search_predicted(x: List[int], v_star: np.ndarray, clf: xgb.XGBClassifier, size: int = 2) -> Tuple[np.ndarray, int]:
    """
    Performs a local search around a given point in the feature space
    and predicts the class label using an XGBClassifier model.

    Args:
        x (List[int]): The starting point for the local search, represented as a list of integers.
        v_star (np.ndarray): The current best solution (e.g., a NumPy array representing a feature vector).
        clf (XGBClassifier): An XGBoost Classifier model that will be used for prediction.
        size (int, optional): The size of the neighborhood to explore around the starting point. Defaults to 2.

    Returns:
        Tuple[np.ndarray, int]: A tuple containing the best neighbor found (as a NumPy array)
                                 and its predicted class label (as an integer).
    """
    
    # Outer loop for the number of patients to switch
    max_restarts = size  # Or some other reasonable limit to prevent infinite loops when searching
    restart_count = 0
    x_star = x
    t = 1
    w = 0.1
    while t < size and restart_count < max_restarts:
        print(f'Running local search {t}')
        ids_gen = powerset(range(T), t)
        neighborhood = get_neighborhood(x_star, v_star, ids_gen)
        print(f"Switching {t} patient(s). Size of neighborhood: {len(list(ids_gen))}")
        found_better_solution = False
        for neighbor in neighborhood:
            objectives_list = [calculate_objective_serv_time_lookup(x, d, convolutions) for x in [x_star, neighbor]]
            costs_list = [w * objectives[0] + (1 - w) * objectives[1] for objectives in objectives_list]
            schedule_pairs = x_star + neighbor.tolist()
            print(f"Schedule pairs: {schedule_pairs}")
            print(f"Costs: {costs_list}")
            rank = clf.predict([schedule_pairs])
            ambiguousness = clf.predict_proba([schedule_pairs])
            print(f"Predicted rank: {rank}, ambiguousness: {ambiguousness}")
            if rank[0] == 1:
                x_star = neighbor.tolist()
                print(f"Found better solution: {x_star}")
                found_better_solution = True
                break
        if found_better_solution:
            t = 1
            restart_count += 1
        else:
            t += 1
    return x_star

from functions import calculate_objective_serv_time_lookup

# Define the path to the saved model
model_path = "models/classifier_large_instance.json" # Make sure this path is correct

# Initialize an XGBoost Classifier instance
clf = xgb.XGBClassifier()

# Load the model directly from the file path
clf.load_model(model_path)

intial_objectives = calculate_objective_serv_time_lookup(x, d, convolutions)
initial_c_star = w * intial_objectives[0] + (1 - w) * intial_objectives[1]
x_star = local_search_predicted(x, v_star, clf, size=T)
final_objectives = calculate_objective_serv_time_lookup(x_star, d, convolutions)
final_c_star = w * final_objectives[0] + (1 - w) * final_objectives[1]
print(f"\nInitial schedule: {x}, with objective value: {initial_c_star}.\nFinal schedule: {x_star}, with objective value: {final_c_star}.")

Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [94.11332405341892, 98.73772006321309]
Predicted rank: [0], ambiguousness: [[0.9202167  0.07978333]]
Schedule pairs: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [94.11332405341892, 94.52239375936583]
Predicted rank: [1], ambiguousness: [[0.37416232 0.6258377 ]]
Found better solution: [3, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [3, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 2, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [94.52239375936583, 98.83812736721207]
Predicted rank: [0], ambiguousness: [[0.9060272 0.0939728]]
Schedule pairs: [3, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [94.52239375936583, 94.96904672109943]
Predicted rank: [0], ambiguousness: [[0.50900054 0.49099946]]
Schedule pairs: [3, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [94.52239375936583, 94.87461856228423]
Predicted rank: [1], ambiguousness: [[0.4397586 0.5602414]]
Found better solution: [3, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [3, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 2, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [94.87461856228423, 99.00509066199984]
Predicted rank: [0], ambiguousness: [[0.91485065 0.08514934]]
Schedule pairs: [3, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [94.87461856228423, 95.30142301577897]
Predicted rank: [0], ambiguousness: [[0.50165546 0.49834457]]
Schedule pairs: [3, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [94.87461856228423, 95.35400101132376]
Predicted rank: [1], ambiguousness: [[0.4554841 0.5445159]]
Found better solution: [3, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [3, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 2, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [95.35400101132376, 99.45169274180356]
Predicted rank: [0], ambiguousness: [[0.8983778  0.10162222]]
Schedule pairs: [3, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [95.35400101132376, 95.77205471196609]
Predicted rank: [1], ambiguousness: [[0.4476583 0.5523417]]
Found better solution: [3, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [3, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 2, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [95.77205471196609, 99.67743509938177]
Predicted rank: [0], ambiguousness: [[0.6269704  0.37302956]]
Schedule pairs: [3, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [95.77205471196609, 96.262188705733]
Predicted rank: [1], ambiguousness: [[0.44036293 0.55963707]]
Found better solution: [4, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [4, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.262188705733, 100.13375184658767]
Predicted rank: [0], ambiguousness: [[0.6323316 0.3676684]]
Schedule pairs: [4, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.262188705733, 96.75430513610408]
Predicted rank: [1], ambiguousness: [[0.47577983 0.52422017]]
Found better solution: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.60524704042535]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.25301413249734]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.69695091920259]
Predicted rank: [0], ambiguousness: [[0.52547926 0.47452074]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.14384726976195]
Predicted rank: [0], ambiguousness: [[0.5352935  0.46470648]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.8349262896998]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.15581236345926]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.96099071340342]
Predicted rank: [0], ambiguousness: [[0.53229475 0.46770525]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.21614481991043]
Predicted rank: [0], ambiguousness: [[0.6591344  0.34086564]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.82226091280637]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.98657000843183]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.0629716345512]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.09701309565651]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.08397391515533]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.0994453113897]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.02587244555161]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.92424649464478]
Predicted rank: [0], ambiguousness: [[0.6457046 0.3542954]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.48254067253524]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.96718762247959]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.71233296181893]
Predicted rank: [0], ambiguousness: [[0.6575543  0.34244567]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.76537466811743]
Predicted rank: [0], ambiguousness: [[0.74348587 0.25651413]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.56060763597097]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.77199365909013]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.86901822063516]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.91188080856531]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.89605006789446]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.19565991559587]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.64255626615521]
Predicted rank: [0], ambiguousness: [[0.51913774 0.4808623 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.33363528609304]
Predicted rank: [0], ambiguousness: [[0.5138555  0.48614448]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.65452135985251]
Predicted rank: [0], ambiguousness: [[0.5831593 0.4168407]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.45969970979668]
Predicted rank: [0], ambiguousness: [[0.5161288 0.4838712]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.71485381630367]
Predicted rank: [0], ambiguousness: [[0.6607081  0.33929187]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.32096990919963]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.48527900482509]
Predicted rank: [0], ambiguousness: [[0.58514446 0.41485554]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.56168063094447]
Predicted rank: [0], ambiguousness: [[0.60340667 0.39659333]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.59572209204975]
Predicted rank: [0], ambiguousness: [[0.72358704 0.27641296]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.58268291154857]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.07644932781432]
Predicted rank: [0], ambiguousness: [[0.5226734  0.47732657]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.99458601330154]
Predicted rank: [0], ambiguousness: [[0.52547926 0.47452074]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.69783886139746]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.08903210151071]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.88777410002456]
Predicted rank: [0], ambiguousness: [[0.53229475 0.46770525]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.12489053204465]
Predicted rank: [0], ambiguousness: [[0.6591344  0.34086564]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.75434630549654]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.92373527249404]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.00219042621316]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.03711242169433]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.02406503000707]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.1624100587213]
Predicted rank: [0], ambiguousness: [[0.5398308  0.46016917]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.54226753405065]
Predicted rank: [0], ambiguousness: [[0.6082547  0.39174536]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.34653404870227]
Predicted rank: [0], ambiguousness: [[0.5429851  0.45701495]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.59848061013483]
Predicted rank: [0], ambiguousness: [[0.6679312  0.33206877]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.20973914559899]
Predicted rank: [0], ambiguousness: [[0.69853854 0.30146146]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.3750826587364]
Predicted rank: [0], ambiguousness: [[0.61020017 0.3897998 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.45188657693896]
Predicted rank: [0], ambiguousness: [[0.62806046 0.3719395 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.48609712371544]
Predicted rank: [0], ambiguousness: [[0.7354348 0.2645652]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.47306178836081]
Predicted rank: [0], ambiguousness: [[0.73779577 0.26220423]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.27987740317207]
Predicted rank: [0], ambiguousness: [[0.54353744 0.45646256]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.1748463421522]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.99818089566519]
Predicted rank: [0], ambiguousness: [[0.52771485 0.47228515]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.24195138546628]
Predicted rank: [0], ambiguousness: [[0.6632232 0.3367768]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.88877583686829]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.06046348622036]
Predicted rank: [0], ambiguousness: [[0.60515755 0.39484245]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.13961442595293]
Predicted rank: [0], ambiguousness: [[0.62310624 0.3768938 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.17478095285065]
Predicted rank: [0], ambiguousness: [[0.7452712 0.2547288]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.16179858030671]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.32158976450724]
Predicted rank: [0], ambiguousness: [[0.56288445 0.43711558]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.59842604104482]
Predicted rank: [0], ambiguousness: [[0.71073824 0.28926176]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.2201418511406]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.38648360029498]
Predicted rank: [0], ambiguousness: [[0.6380752  0.36192483]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.46358704687788]
Predicted rank: [0], ambiguousness: [[0.7063533  0.29364672]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.49790167008436]
Predicted rank: [0], ambiguousness: [[0.7923176 0.2076824]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.4848871745658]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.4265727605268]
Predicted rank: [0], ambiguousness: [[0.54464865 0.45535132]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.1972432648771]
Predicted rank: [0], ambiguousness: [[0.62622017 0.37377983]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.00672661394587]
Predicted rank: [0], ambiguousness: [[0.695995   0.30400506]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.18441291408398]
Predicted rank: [0], ambiguousness: [[0.6203459 0.3796541]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.26509863118281]
Predicted rank: [0], ambiguousness: [[0.6049952 0.3950048]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.30064062736258]
Predicted rank: [0], ambiguousness: [[0.751359   0.24864098]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.28777340659099]
Predicted rank: [0], ambiguousness: [[0.7021203  0.29787973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.58148269037767]
Predicted rank: [0], ambiguousness: [[0.82545805 0.17454195]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 95.98326315492506]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.3755829933965]
Predicted rank: [0], ambiguousness: [[0.7377496  0.26225045]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.4913343926684]
Predicted rank: [0], ambiguousness: [[0.7824756  0.21752444]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.53874580561836]
Predicted rank: [0], ambiguousness: [[0.8289293  0.17107072]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.52801412435012]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.92456463186123]
Predicted rank: [0], ambiguousness: [[0.6673378  0.33266225]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.09936686051816]
Predicted rank: [0], ambiguousness: [[0.7301569 0.2698431]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.14934011624943]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.13984155986478]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.2176108424764]
Predicted rank: [0], ambiguousness: [[0.598469   0.40153095]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.30762359654875]
Predicted rank: [0], ambiguousness: [[0.8001343  0.19986568]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.3021317841874]
Predicted rank: [0], ambiguousness: [[0.81583416 0.18416582]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.34678260789775]
Predicted rank: [0], ambiguousness: [[0.5969584 0.4030416]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.3691399905128]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.36651722319928]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.52007071651596]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.41844476560915]
Predicted rank: [0], ambiguousness: [[0.6826251  0.31737489]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.97673894349961]
Predicted rank: [0], ambiguousness: [[0.6675163 0.3324837]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.46138589344395]
Predicted rank: [0], ambiguousness: [[0.7265707  0.27342924]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.2065312327833]
Predicted rank: [0], ambiguousness: [[0.6938255 0.3061745]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.25957293908178]
Predicted rank: [0], ambiguousness: [[0.7757225  0.22427747]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.05480590693531]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.26619193005448]
Predicted rank: [0], ambiguousness: [[0.6923696 0.3076304]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.3632164915995]
Predicted rank: [0], ambiguousness: [[0.75193405 0.24806595]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.40607907952966]
Predicted rank: [0], ambiguousness: [[0.8319682  0.16803178]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.39024833885881]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.25006440292577]
Predicted rank: [0], ambiguousness: [[0.62675285 0.37324712]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.16259158119713]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.74829887579381]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.36962589737702]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.10207878221931]
Predicted rank: [0], ambiguousness: [[0.6575543  0.34244567]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.11932034909617]
Predicted rank: [0], ambiguousness: [[0.74348587 0.25651413]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.9604256307317]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.18179115273085]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.2828512781835]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.32743790363423]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.3115630527893]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.69894301909068]
Predicted rank: [0], ambiguousness: [[0.6389307  0.36106935]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.28115068597552]
Predicted rank: [0], ambiguousness: [[0.7007865 0.2992135]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.02473699647031]
Predicted rank: [0], ambiguousness: [[0.6671718  0.33282822]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.07237264718091]
Predicted rank: [0], ambiguousness: [[0.7509284 0.2490716]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.87616422696044]
Predicted rank: [0], ambiguousness: [[0.7663055 0.2336945]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.08927107115599]
Predicted rank: [0], ambiguousness: [[0.66484785 0.33515215]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.18696519600695]
Predicted rank: [0], ambiguousness: [[0.72764504 0.272355  ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.23010828497257]
Predicted rank: [0], ambiguousness: [[0.8067795  0.19322048]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.21427983244091]
Predicted rank: [0], ambiguousness: [[0.73779577 0.26220423]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.89810971921706]
Predicted rank: [0], ambiguousness: [[0.64236784 0.35763213]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.7529469622109]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.52497978198033]
Predicted rank: [0], ambiguousness: [[0.6534024 0.3465976]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.56013888433392]
Predicted rank: [0], ambiguousness: [[0.73782235 0.26217765]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.41662325419864]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.63910945199414]
Predicted rank: [0], ambiguousness: [[0.6493275 0.3506725]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.74027345543251]
Predicted rank: [0], ambiguousness: [[0.71378076 0.2862192 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.78482522038027]
Predicted rank: [0], ambiguousness: [[0.80731475 0.19268523]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.76905756629037]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.01650454204355]
Predicted rank: [0], ambiguousness: [[0.6848027 0.3151973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.09986349283685]
Predicted rank: [0], ambiguousness: [[0.77833015 0.22166985]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.91736689616235]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.1316504506019]
Predicted rank: [0], ambiguousness: [[0.6805068  0.31949317]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.22967657358274]
Predicted rank: [0], ambiguousness: [[0.7839445  0.21605554]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.27292812610935]
Predicted rank: [0], ambiguousness: [[0.845281   0.15471897]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.25712830267747]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.16617958451148]
Predicted rank: [0], ambiguousness: [[0.65427256 0.34572747]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.5671073620097]
Predicted rank: [0], ambiguousness: [[0.7428541  0.25714585]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.63756694166975]
Predicted rank: [0], ambiguousness: [[0.7755239 0.2244761]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.86704898969943]
Predicted rank: [0], ambiguousness: [[0.67637825 0.32362178]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.96988233760499]
Predicted rank: [0], ambiguousness: [[0.72099006 0.27900997]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.01477537541821]
Predicted rank: [0], ambiguousness: [[0.8205228  0.17947719]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.99915844794027]
Predicted rank: [0], ambiguousness: [[0.7021203  0.29787973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.08996380412125]
Predicted rank: [0], ambiguousness: [[0.87637055 0.12362946]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.33026652420122]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.83771912205486]
Predicted rank: [0], ambiguousness: [[0.784636   0.21536396]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 99.98559365120663]
Predicted rank: [0], ambiguousness: [[0.8435495  0.15645052]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.04573460374739]
Predicted rank: [0], ambiguousness: [[0.87334096 0.12665907]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.0327895509832]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.56232761089227]
Predicted rank: [0], ambiguousness: [[0.775147   0.22485298]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.78437207118529]
Predicted rank: [0], ambiguousness: [[0.7929233  0.20707673]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.84733964533365]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.83593002790442]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 100.93859317675444]
Predicted rank: [0], ambiguousness: [[0.6688167  0.33118328]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 101.0514890671441]
Predicted rank: [0], ambiguousness: [[0.828068   0.17193197]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 101.04500898486512]
Predicted rank: [0], ambiguousness: [[0.81583416 0.18416582]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 101.1025012775699]
Predicted rank: [0], ambiguousness: [[0.70032126 0.29967874]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 101.13052467370845]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 101.12821195783974]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.57512835692677]
Predicted rank: [0], ambiguousness: [[0.5064833  0.49351668]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.49329500969479]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.1965478577907]
Predicted rank: [0], ambiguousness: [[0.5138555  0.48614448]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.58774109790397]
Predicted rank: [0], ambiguousness: [[0.5831593 0.4168407]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.38648309641782]
Predicted rank: [0], ambiguousness: [[0.5161288 0.4838712]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.6235995284379]
Predicted rank: [0], ambiguousness: [[0.6607081  0.33929187]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.2530553018898]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.42244426888729]
Predicted rank: [0], ambiguousness: [[0.58514446 0.41485554]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.50089942260641]
Predicted rank: [0], ambiguousness: [[0.60340667 0.39659333]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.53582141808761]
Predicted rank: [0], ambiguousness: [[0.72358704 0.27641296]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.52277402640034]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.66111905511455]
Predicted rank: [0], ambiguousness: [[0.5236923 0.4763077]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 98.04097653044391]
Predicted rank: [0], ambiguousness: [[0.5927053 0.4072947]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.84524304509554]
Predicted rank: [0], ambiguousness: [[0.5268602  0.47313982]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.09718960652809]
Predicted rank: [0], ambiguousness: [[0.66948473 0.33051527]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.70844814199224]
Predicted rank: [0], ambiguousness: [[0.6847153  0.31528473]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.87379165512965]
Predicted rank: [0], ambiguousness: [[0.5946766  0.40532336]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.95059557333221]
Predicted rank: [0], ambiguousness: [[0.6127969  0.38720313]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.9848061201087]
Predicted rank: [0], ambiguousness: [[0.73139834 0.26860166]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.97177078475406]
Predicted rank: [0], ambiguousness: [[0.73200756 0.26799244]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.77858639956531]
Predicted rank: [0], ambiguousness: [[0.5610782  0.43892178]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.67355533854544]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.49688989205845]
Predicted rank: [0], ambiguousness: [[0.5115359  0.48846412]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.74066038185956]
Predicted rank: [0], ambiguousness: [[0.66478765 0.33521232]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.38748483326155]
Predicted rank: [0], ambiguousness: [[0.68013126 0.31986874]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.5591724826136]
Predicted rank: [0], ambiguousness: [[0.58956826 0.41043177]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.63832342234619]
Predicted rank: [0], ambiguousness: [[0.6077663  0.39223376]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.67348994924392]
Predicted rank: [0], ambiguousness: [[0.74133205 0.25866792]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.66050757669996]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.82029876090049]
Predicted rank: [0], ambiguousness: [[0.5468758  0.45312423]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.09713503743806]
Predicted rank: [0], ambiguousness: [[0.7121778 0.2878222]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.71885084753387]
Predicted rank: [0], ambiguousness: [[0.73782516 0.26217487]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.88519259668823]
Predicted rank: [0], ambiguousness: [[0.62297577 0.37702423]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.96229604327115]
Predicted rank: [0], ambiguousness: [[0.6927307  0.30726928]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.99661066647761]
Predicted rank: [0], ambiguousness: [[0.78889984 0.21110015]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.98359617095906]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.92528175692006]
Predicted rank: [0], ambiguousness: [[0.52853155 0.47146845]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.69595226127035]
Predicted rank: [0], ambiguousness: [[0.62786007 0.3721399 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.50543561033912]
Predicted rank: [0], ambiguousness: [[0.6821081 0.3178919]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.68312191047724]
Predicted rank: [0], ambiguousness: [[0.6049648 0.3950352]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.76380762757607]
Predicted rank: [0], ambiguousness: [[0.58940387 0.41059616]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.79934962375586]
Predicted rank: [0], ambiguousness: [[0.74748206 0.2525179 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.78648240298425]
Predicted rank: [0], ambiguousness: [[0.6958691  0.30413088]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.08019168677092]
Predicted rank: [0], ambiguousness: [[0.8292093  0.17079066]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.4819721513183]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.87429198978975]
Predicted rank: [0], ambiguousness: [[0.7319781  0.26802188]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.99004338906165]
Predicted rank: [0], ambiguousness: [[0.7817801  0.21821988]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.03745480201161]
Predicted rank: [0], ambiguousness: [[0.83606637 0.16393365]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.02672312074337]
Predicted rank: [0], ambiguousness: [[0.8248708  0.17512919]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.42327362825448]
Predicted rank: [0], ambiguousness: [[0.65279484 0.34720513]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.59807585691141]
Predicted rank: [0], ambiguousness: [[0.7171966  0.28280345]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.6480491126427]
Predicted rank: [0], ambiguousness: [[0.83378977 0.16621025]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.63855055625804]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.71631983886965]
Predicted rank: [0], ambiguousness: [[0.5827977 0.4172023]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.80633259294201]
Predicted rank: [0], ambiguousness: [[0.79681224 0.20318775]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.80084078058066]
Predicted rank: [0], ambiguousness: [[0.8113282  0.18867184]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.845491604291]
Predicted rank: [0], ambiguousness: [[0.58126926 0.4187307 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.86784898690607]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.86522621959253]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.5474878790721]
Predicted rank: [0], ambiguousness: [[0.5186891 0.4813109]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.32929220941242]
Predicted rank: [0], ambiguousness: [[0.5226734  0.47732657]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.06248540518365]
Predicted rank: [0], ambiguousness: [[0.5272251  0.47277492]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.46708966420698]
Predicted rank: [0], ambiguousness: [[0.59612095 0.40387905]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.26503446515562]
Predicted rank: [0], ambiguousness: [[0.52949315 0.47050685]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.4999026100615]
Predicted rank: [0], ambiguousness: [[0.6566024 0.3433976]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.1324873769695]
Predicted rank: [0], ambiguousness: [[0.68776584 0.3122342 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.30253964528102]
Predicted rank: [0], ambiguousness: [[0.59808695 0.40191302]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.38125914836223]
Predicted rank: [0], ambiguousness: [[0.6161531  0.38384688]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.41629365962997]
Predicted rank: [0], ambiguousness: [[0.7322738  0.26772615]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.40324669003475]
Predicted rank: [0], ambiguousness: [[0.72787946 0.27212054]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.88220833465805]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.38094485578901]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.17799836412014]
Predicted rank: [0], ambiguousness: [[0.53319156 0.46680847]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.40913891545608]
Predicted rank: [0], ambiguousness: [[0.6591344  0.34086564]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.04814507138974]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.21945623497518]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.29865917296425]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.33389551481953]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.32085521391363]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.1256505231454]
Predicted rank: [0], ambiguousness: [[0.54353744 0.45646256]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.01548871805687]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.83700739917262]
Predicted rank: [0], ambiguousness: [[0.52771485 0.47228515]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.06058539108237]
Predicted rank: [0], ambiguousness: [[0.6632232 0.3367768]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.73846583788392]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.91662734225329]
Predicted rank: [0], ambiguousness: [[0.60515755 0.39484245]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.99835061388963]
Predicted rank: [0], ambiguousness: [[0.62310624 0.3768938 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.03460984507973]
Predicted rank: [0], ambiguousness: [[0.7452712 0.2547288]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.02163011924435]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.23500123940575]
Predicted rank: [0], ambiguousness: [[0.56288445 0.43711558]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.4959472516789]
Predicted rank: [0], ambiguousness: [[0.71073824 0.28926176]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.14246726298099]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.31407634943412]
Predicted rank: [0], ambiguousness: [[0.6380752  0.36192483]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.39329790395912]
Predicted rank: [0], ambiguousness: [[0.7063533  0.29364672]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.42851817472314]
Predicted rank: [0], ambiguousness: [[0.7923176 0.2076824]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.41549775519758]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.35097627457898]
Predicted rank: [0], ambiguousness: [[0.54464865 0.45535132]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.07789308069789]
Predicted rank: [0], ambiguousness: [[0.62622017 0.37377983]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.92175192038394]
Predicted rank: [0], ambiguousness: [[0.695995   0.30400506]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.10523896492359]
Predicted rank: [0], ambiguousness: [[0.6203459 0.3796541]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.18820961840618]
Predicted rank: [0], ambiguousness: [[0.6049952 0.3950048]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.22471303308768]
Predicted rank: [0], ambiguousness: [[0.751359   0.24864098]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.21184688877184]
Predicted rank: [0], ambiguousness: [[0.7021203  0.29787973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.48486107533434]
Predicted rank: [0], ambiguousness: [[0.82545805 0.17454195]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 95.87129561158645]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.2764676862374]
Predicted rank: [0], ambiguousness: [[0.7377496  0.26225045]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.39556112967605]
Predicted rank: [0], ambiguousness: [[0.7824756  0.21752444]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.44428907543336]
Predicted rank: [0], ambiguousness: [[0.8289293  0.17107072]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.43362447451373]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.84782829970104]
Predicted rank: [0], ambiguousness: [[0.6673378  0.33266225]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.02725180107976]
Predicted rank: [0], ambiguousness: [[0.7301569 0.2698431]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.07849741182133]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.06907716391879]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.14971888548594]
Predicted rank: [0], ambiguousness: [[0.598469   0.40153095]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.24179886612367]
Predicted rank: [0], ambiguousness: [[0.8001343  0.19986568]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.23645391858413]
Predicted rank: [0], ambiguousness: [[0.81583416 0.18416582]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.2823810384762]
Predicted rank: [0], ambiguousness: [[0.5969584 0.4030416]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.3053832237089]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.30307210787694]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.58089867152671]
Predicted rank: [0], ambiguousness: [[0.55329573 0.44670424]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.48718923231965]
Predicted rank: [0], ambiguousness: [[0.5826657 0.4173343]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.31527080051725]
Predicted rank: [0], ambiguousness: [[0.5375236 0.4624764]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.55427150182275]
Predicted rank: [0], ambiguousness: [[0.671967   0.32803294]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.21217491353786]
Predicted rank: [0], ambiguousness: [[0.70236814 0.29763183]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.38595833035082]
Predicted rank: [0], ambiguousness: [[0.61453277 0.38546723]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.46590518648796]
Predicted rank: [0], ambiguousness: [[0.6323142  0.36768582]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.50140151388416]
Predicted rank: [0], ambiguousness: [[0.7526792 0.2473208]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.48843150125865]
Predicted rank: [0], ambiguousness: [[0.7582028  0.24179724]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.70273772862168]
Predicted rank: [0], ambiguousness: [[0.5725544 0.4274456]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.97710434831055]
Predicted rank: [0], ambiguousness: [[0.7187716  0.28122845]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.60442942640222]
Predicted rank: [0], ambiguousness: [[0.7574814 0.2425186]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.77186392487482]
Predicted rank: [0], ambiguousness: [[0.6471245  0.35287544]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.84938969512771]
Predicted rank: [0], ambiguousness: [[0.7144594  0.28554058]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.88388118510676]
Predicted rank: [0], ambiguousness: [[0.79872686 0.20127313]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.87087125066247]
Predicted rank: [0], ambiguousness: [[0.78809637 0.21190362]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.81144130930599]
Predicted rank: [0], ambiguousness: [[0.5544027 0.4455973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.57249819609287]
Predicted rank: [0], ambiguousness: [[0.6646228 0.3353772]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.38990401862709]
Predicted rank: [0], ambiguousness: [[0.7050171 0.2949829]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.56880656024173]
Predicted rank: [0], ambiguousness: [[0.63042104 0.369579  ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.64995290970425]
Predicted rank: [0], ambiguousness: [[0.61522496 0.384775  ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.6856843799267]
Predicted rank: [0], ambiguousness: [[0.7593063  0.24069367]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.67282334628969]
Predicted rank: [0], ambiguousness: [[0.7110361  0.28896388]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.96261122937848]
Predicted rank: [0], ambiguousness: [[0.8310627  0.16893734]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.36135565252656]
Predicted rank: [0], ambiguousness: [[0.69853854 0.30146146]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.75638317417622]
Predicted rank: [0], ambiguousness: [[0.74530154 0.25469846]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.87281095880073]
Predicted rank: [0], ambiguousness: [[0.7891078  0.21089223]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.92048408667401]
Predicted rank: [0], ambiguousness: [[0.83444476 0.16555522]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.90977225023812]
Predicted rank: [0], ambiguousness: [[0.8244778  0.17552224]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.31035154978267]
Predicted rank: [0], ambiguousness: [[0.67602694 0.32397306]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.48606661982068]
Predicted rank: [0], ambiguousness: [[0.73784983 0.26215014]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.53628567335272]
Predicted rank: [0], ambiguousness: [[0.84194577 0.15805426]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.526807871915]
Predicted rank: [0], ambiguousness: [[0.84893614 0.15106387]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.60518846551281]
Predicted rank: [0], ambiguousness: [[0.60790014 0.39209983]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.69559481565958]
Predicted rank: [0], ambiguousness: [[0.8063614  0.19363864]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.69013600109672]
Predicted rank: [0], ambiguousness: [[0.8216811  0.17831892]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.73504230934616]
Predicted rank: [0], ambiguousness: [[0.6064017  0.39359835]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.75752364607607]
Predicted rank: [0], ambiguousness: [[0.74418914 0.2558109 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.75496849159353]
Predicted rank: [0], ambiguousness: [[0.81069386 0.18930611]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.6001008585327]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.4380970535664]
Predicted rank: [0], ambiguousness: [[0.53025734 0.46974266]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.68191125919759]
Predicted rank: [0], ambiguousness: [[0.67524964 0.32475036]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.33255363897061]
Predicted rank: [0], ambiguousness: [[0.70547986 0.29452017]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.50487315725502]
Predicted rank: [0], ambiguousness: [[0.6180634 0.3819366]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.5842517124127]
Predicted rank: [0], ambiguousness: [[0.6357784  0.36422154]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.61950965473223]
Predicted rank: [0], ambiguousness: [[0.75544804 0.24455197]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.6065334124286]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.2718487109122]
Predicted rank: [0], ambiguousness: [[0.5132079  0.48679206]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.55032477258453]
Predicted rank: [0], ambiguousness: [[0.6971457  0.30285427]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.22271733540884]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.39775457400225]
Predicted rank: [0], ambiguousness: [[0.6527543  0.34724572]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.47806289150758]
Predicted rank: [0], ambiguousness: [[0.6838415  0.31615847]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.51367999966737]
Predicted rank: [0], ambiguousness: [[0.76409924 0.23590073]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.50073824712464]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.45498003916812]
Predicted rank: [0], ambiguousness: [[0.54917145 0.45082852]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.14583556102374]
Predicted rank: [0], ambiguousness: [[0.63979006 0.3602099 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.02655654223472]
Predicted rank: [0], ambiguousness: [[0.6920908 0.3079092]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.21357740468689]
Predicted rank: [0], ambiguousness: [[0.61600626 0.38399377]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.29764461107683]
Predicted rank: [0], ambiguousness: [[0.600593 0.399407]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.33453191988464]
Predicted rank: [0], ambiguousness: [[0.76129895 0.23870105]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.32174682179735]
Predicted rank: [0], ambiguousness: [[0.7168896 0.2831104]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.5973260183384]
Predicted rank: [0], ambiguousness: [[0.83601964 0.16398038]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 95.97822589504057]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.39081002017045]
Predicted rank: [0], ambiguousness: [[0.74126554 0.25873443]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.51139811192941]
Predicted rank: [0], ambiguousness: [[0.7855662  0.21443382]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.5606389110908]
Predicted rank: [0], ambiguousness: [[0.84139395 0.15860605]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.55008572999583]
Predicted rank: [0], ambiguousness: [[0.8342273 0.1657727]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.97973879750249]
Predicted rank: [0], ambiguousness: [[0.6713773  0.32862273]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.16086822023212]
Predicted rank: [0], ambiguousness: [[0.733738 0.266262]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.21249224167511]
Predicted rank: [0], ambiguousness: [[0.84863716 0.15136284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.203166070989]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.28550235455945]
Predicted rank: [0], ambiguousness: [[0.60284716 0.39715284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.37811920818842]
Predicted rank: [0], ambiguousness: [[0.81422687 0.18577313]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.37287486548773]
Predicted rank: [0], ambiguousness: [[0.83155423 0.16844578]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.4193181617045]
Predicted rank: [0], ambiguousness: [[0.6117828  0.38821724]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.44249773369515]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.44037403253341]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.77135016311922]
Predicted rank: [0], ambiguousness: [[0.56465983 0.43534017]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.5055834163538]
Predicted rank: [0], ambiguousness: [[0.66269577 0.33730423]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.36077727203337]
Predicted rank: [0], ambiguousness: [[0.7214802 0.2785198]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.5422455808528]
Predicted rank: [0], ambiguousness: [[0.61638486 0.3836151 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.62420896408506]
Predicted rank: [0], ambiguousness: [[0.63409853 0.3659015 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.66022366567196]
Predicted rank: [0], ambiguousness: [[0.7836053  0.21639474]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.64740453916318]
Predicted rank: [0], ambiguousness: [[0.72729325 0.27270678]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.95976033918657]
Predicted rank: [0], ambiguousness: [[0.8573322 0.1426678]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.35593990182515]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.75492132651816]
Predicted rank: [0], ambiguousness: [[0.76396847 0.23603153]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.87210611090356]
Predicted rank: [0], ambiguousness: [[0.83401436 0.16598564]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.92003693008222]
Predicted rank: [0], ambiguousness: [[0.86703587 0.13296415]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.90937252899737]
Predicted rank: [0], ambiguousness: [[0.8513843  0.14861572]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.31960966382476]
Predicted rank: [0], ambiguousness: [[0.7014973  0.29850265]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.49608886753353]
Predicted rank: [0], ambiguousness: [[0.8003776  0.19962242]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.54647145786566]
Predicted rank: [0], ambiguousness: [[0.8796749 0.1203251]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.53702734587652]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.61614642466321]
Predicted rank: [0], ambiguousness: [[0.6916976  0.30830243]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.70678949205755]
Predicted rank: [0], ambiguousness: [[0.8324113  0.16758874]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.70136763189558]
Predicted rank: [0], ambiguousness: [[0.8484154  0.15158463]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.74649677332218]
Predicted rank: [0], ambiguousness: [[0.6641736  0.33582637]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.76905195246485]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.76656930716325]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.63438133219961]
Predicted rank: [0], ambiguousness: [[0.66297996 0.33702004]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 97.4715527724542]
Predicted rank: [0], ambiguousness: [[0.70640975 0.29359025]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.64967369880587]
Predicted rank: [0], ambiguousness: [[0.61912024 0.38087973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.7305258226088]
Predicted rank: [0], ambiguousness: [[0.6368151 0.3631849]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.76612361256448]
Predicted rank: [0], ambiguousness: [[0.7426975  0.25730255]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.75326394374216]
Predicted rank: [0], ambiguousness: [[0.7450161 0.2549839]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.4784159436185]
Predicted rank: [0], ambiguousness: [[0.6655737 0.3344263]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 95.85663357514838]
Predicted rank: [0], ambiguousness: [[0.67950416 0.32049587]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.33167064395221]
Predicted rank: [0], ambiguousness: [[0.7352947  0.26470527]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.46060408815543]
Predicted rank: [0], ambiguousness: [[0.74100816 0.25899187]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.51243736035116]
Predicted rank: [0], ambiguousness: [[0.8220361 0.1779639]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.50238077631063]
Predicted rank: [0], ambiguousness: [[0.7715547  0.22844529]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 97.09194517025824]
Predicted rank: [0], ambiguousness: [[0.6853428  0.31465718]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 97.27762755530509]
Predicted rank: [0], ambiguousness: [[0.71854186 0.28145814]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 97.3299463312353]
Predicted rank: [0], ambiguousness: [[0.85274273 0.14725728]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 97.32080217794675]
Predicted rank: [0], ambiguousness: [[0.82479125 0.17520876]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.40818725918261]
Predicted rank: [0], ambiguousness: [[0.54181975 0.45818025]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.50169336642696]
Predicted rank: [0], ambiguousness: [[0.8270626  0.17293736]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.49662427629693]
Predicted rank: [0], ambiguousness: [[0.8030652  0.19693483]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.54440803688112]
Predicted rank: [0], ambiguousness: [[0.5979972  0.40200278]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.56782129226093]
Predicted rank: [0], ambiguousness: [[0.6910848 0.3089152]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.56605286862118]
Predicted rank: [0], ambiguousness: [[0.81471556 0.18528445]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 0, 1, 1, 1, 7]
Costs: [96.75430513610408, 96.24464301544648]
Predicted rank: [0], ambiguousness: [[0.8323606  0.16763939]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 2, 0, 1, 1, 7]
Costs: [96.75430513610408, 96.73070150402037]
Predicted rank: [0], ambiguousness: [[0.8705728  0.12942718]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.85249546318036]
Predicted rank: [0], ambiguousness: [[0.892008   0.10799199]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.90176007687576]
Predicted rank: [0], ambiguousness: [[0.9161033  0.08389669]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.89134986091575]
Predicted rank: [0], ambiguousness: [[0.9151635  0.08483649]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [96.75430513610408, 95.93174455230306]
Predicted rank: [0], ambiguousness: [[0.582132 0.417868]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [96.75430513610408, 96.20510089460616]
Predicted rank: [0], ambiguousness: [[0.69627607 0.30372396]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [96.75430513610408, 96.27935351461952]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 6]
Costs: [96.75430513610408, 96.27461563311198]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [96.75430513610408, 96.54696727754472]
Predicted rank: [0], ambiguousness: [[0.7469403 0.2530597]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [96.75430513610408, 96.6705522436134]
Predicted rank: [0], ambiguousness: [[0.8836832  0.11631678]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 2, 6]
Costs: [96.75430513610408, 96.66951859045173]
Predicted rank: [0], ambiguousness: [[0.8878472  0.11215284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [96.75430513610408, 96.74390288907603]
Predicted rank: [0], ambiguousness: [[0.7661812  0.23381883]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 2, 6]
Costs: [96.75430513610408, 96.77558851990226]
Predicted rank: [0], ambiguousness: [[0.85558695 0.14441304]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 1, 6]
Costs: [96.75430513610408, 96.78245474736204]
Predicted rank: [0], ambiguousness: [[0.8881891  0.11181091]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [96.75430513610408, 97.08740654961704]
Predicted rank: [0], ambiguousness: [[0.6218207  0.37817934]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [96.75430513610408, 97.21951118912273]
Predicted rank: [0], ambiguousness: [[0.8287981 0.1712019]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 2, 6]
Costs: [96.75430513610408, 97.2211952329613]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [96.75430513610408, 97.35530177578948]
Predicted rank: [0], ambiguousness: [[0.7189441  0.28105593]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 2, 6]
Costs: [96.75430513610408, 97.38952524817665]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 1, 6]
Costs: [96.75430513610408, 97.40020409711366]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [96.75430513610408, 97.45685861179044]
Predicted rank: [0], ambiguousness: [[0.5743182 0.4256818]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 2, 6]
Costs: [96.75430513610408, 97.50017075556154]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 1, 6]
Costs: [96.75430513610408, 97.55210362966197]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 1, 6]
Costs: [96.75430513610408, 97.57136131532455]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.74413341933732]
Predicted rank: [0], ambiguousness: [[0.66462255 0.33537742]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.65678985216148]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.24249714675815]
Predicted rank: [0], ambiguousness: [[0.6675163 0.3324837]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.86382416834138]
Predicted rank: [0], ambiguousness: [[0.7265707  0.27342924]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.59627705318366]
Predicted rank: [0], ambiguousness: [[0.6938255 0.3061745]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.61351862006052]
Predicted rank: [0], ambiguousness: [[0.7757225  0.22427747]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.45462390169607]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.6759894236952]
Predicted rank: [0], ambiguousness: [[0.6923696 0.3076304]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.77704954914785]
Predicted rank: [0], ambiguousness: [[0.75193405 0.24806595]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.82163617459858]
Predicted rank: [0], ambiguousness: [[0.8319682  0.16803178]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.80576132375366]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.19314129005505]
Predicted rank: [0], ambiguousness: [[0.6762031  0.32379693]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.77534895693987]
Predicted rank: [0], ambiguousness: [[0.7343287 0.2656713]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.51893526743467]
Predicted rank: [0], ambiguousness: [[0.70288455 0.29711545]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.56657091814526]
Predicted rank: [0], ambiguousness: [[0.78250337 0.21749662]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.37036249792479]
Predicted rank: [0], ambiguousness: [[0.79465514 0.20534484]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.58346934212038]
Predicted rank: [0], ambiguousness: [[0.7006982 0.2993018]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.68116346697133]
Predicted rank: [0], ambiguousness: [[0.75921094 0.24078903]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.72430655593695]
Predicted rank: [0], ambiguousness: [[0.83740497 0.16259502]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.7084781034053]
Predicted rank: [0], ambiguousness: [[0.73200756 0.26799244]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.39230799018141]
Predicted rank: [0], ambiguousness: [[0.70828635 0.29171365]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.24714523317525]
Predicted rank: [0], ambiguousness: [[0.70496154 0.2950385 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.01917805294471]
Predicted rank: [0], ambiguousness: [[0.68990594 0.31009406]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.05433715529827]
Predicted rank: [0], ambiguousness: [[0.7705511  0.22944891]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.91082152516299]
Predicted rank: [0], ambiguousness: [[0.7831856 0.2168144]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.13330772295849]
Predicted rank: [0], ambiguousness: [[0.68605405 0.31394595]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.23447172639689]
Predicted rank: [0], ambiguousness: [[0.74639344 0.25360653]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.27902349134465]
Predicted rank: [0], ambiguousness: [[0.83787245 0.16212757]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.26325583725475]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.5107028130079]
Predicted rank: [0], ambiguousness: [[0.71941936 0.28058067]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.59406176380122]
Predicted rank: [0], ambiguousness: [[0.8073227  0.19267732]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.41156516712672]
Predicted rank: [0], ambiguousness: [[0.82701933 0.17298068]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.62584872156626]
Predicted rank: [0], ambiguousness: [[0.71539915 0.28460082]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.7238748445471]
Predicted rank: [0], ambiguousness: [[0.81068295 0.18931706]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.7671263970737]
Predicted rank: [0], ambiguousness: [[0.8707814  0.12921856]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.75132657364182]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.66037785547584]
Predicted rank: [0], ambiguousness: [[0.69072783 0.30927214]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.06130563297404]
Predicted rank: [0], ambiguousness: [[0.77514625 0.22485377]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.1317652126341]
Predicted rank: [0], ambiguousness: [[0.80304265 0.19695736]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.36124726066377]
Predicted rank: [0], ambiguousness: [[0.7115303 0.2884697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.46408060856933]
Predicted rank: [0], ambiguousness: [[0.75306547 0.24693456]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.50897364638257]
Predicted rank: [0], ambiguousness: [[0.8493767  0.15062332]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.49335671890464]
Predicted rank: [0], ambiguousness: [[0.6958691  0.30413088]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.58416207508562]
Predicted rank: [0], ambiguousness: [[0.89608794 0.10391204]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.82446479516557]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.33191739301921]
Predicted rank: [0], ambiguousness: [[0.8073684  0.19263159]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.47979192217097]
Predicted rank: [0], ambiguousness: [[0.8641893  0.13581069]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.53993287471174]
Predicted rank: [0], ambiguousness: [[0.895832   0.10416798]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.52698782194754]
Predicted rank: [0], ambiguousness: [[0.8248708  0.17512919]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.05652588185663]
Predicted rank: [0], ambiguousness: [[0.8027002  0.19729976]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.27857034214964]
Predicted rank: [0], ambiguousness: [[0.8188074  0.18119258]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.34153791629798]
Predicted rank: [0], ambiguousness: [[0.89458555 0.10541444]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.33012829886877]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 101.43279144771878]
Predicted rank: [0], ambiguousness: [[0.7044313  0.29556873]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 101.54568733810846]
Predicted rank: [0], ambiguousness: [[0.85592186 0.14407814]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 101.53920725582947]
Predicted rank: [0], ambiguousness: [[0.8113282  0.18867184]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 101.59669954853425]
Predicted rank: [0], ambiguousness: [[0.7338958 0.2661042]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 101.62472294467281]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 101.62241022880409]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.67168640985003]
Predicted rank: [0], ambiguousness: [[0.6303208  0.36967918]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.28386259620159]
Predicted rank: [0], ambiguousness: [[0.62675285 0.37324712]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.9382603338088]
Predicted rank: [0], ambiguousness: [[0.6198299  0.38017008]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.59053328151737]
Predicted rank: [0], ambiguousness: [[0.6833362 0.3166638]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.32111967434821]
Predicted rank: [0], ambiguousness: [[0.64792234 0.35207766]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.33307652378451]
Predicted rank: [0], ambiguousness: [[0.7352978  0.26470217]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.1814544101722]
Predicted rank: [0], ambiguousness: [[0.75132036 0.24867961]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.40436115690241]
Predicted rank: [0], ambiguousness: [[0.6463593 0.3536407]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.50603580961885]
Predicted rank: [0], ambiguousness: [[0.7111155  0.28888455]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.55088308697918]
Predicted rank: [0], ambiguousness: [[0.79927796 0.20072202]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.53500513806843]
Predicted rank: [0], ambiguousness: [[0.72787946 0.27212054]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.68014751710024]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.49608860393656]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.22537064450313]
Predicted rank: [0], ambiguousness: [[0.65836513 0.3416349 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.23153218562925]
Predicted rank: [0], ambiguousness: [[0.74348587 0.25651413]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.09010870572314]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.31498968756264]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.41741820395119]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.46257820433794]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.44670788614044]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.13096268955067]
Predicted rank: [0], ambiguousness: [[0.64236784 0.35763213]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.97570209372708]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.7438362295963]
Predicted rank: [0], ambiguousness: [[0.6534024 0.3465976]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 98.73876398778464]
Predicted rank: [0], ambiguousness: [[0.73782235 0.26217765]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.65631677714613]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.89152778583282]
Predicted rank: [0], ambiguousness: [[0.6493275 0.3506725]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 99.99775001363295]
Predicted rank: [0], ambiguousness: [[0.71378076 0.2862192 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.04444288818658]
Predicted rank: [0], ambiguousness: [[0.80731475 0.19268523]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.02864698139567]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.38039040957582]
Predicted rank: [0], ambiguousness: [[0.6848027 0.3151973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.43207860950659]
Predicted rank: [0], ambiguousness: [[0.77833015 0.22166985]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.29833861599884]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.52297080198315]
Predicted rank: [0], ambiguousness: [[0.6805068  0.31949317]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.62515981535059]
Predicted rank: [0], ambiguousness: [[0.7839445  0.21605554]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.67018481253842]
Predicted rank: [0], ambiguousness: [[0.845281   0.15471897]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.65434484014453]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.5513964935507]
Predicted rank: [0], ambiguousness: [[0.65427256 0.34572747]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 98.86611190096386]
Predicted rank: [0], ambiguousness: [[0.7428541  0.25714585]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.00414419343275]
Predicted rank: [0], ambiguousness: [[0.7755239 0.2244761]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.24502368112296]
Predicted rank: [0], ambiguousness: [[0.67637825 0.32362178]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.35234872787834]
Predicted rank: [0], ambiguousness: [[0.72099006 0.27900997]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.39912494484554]
Predicted rank: [0], ambiguousness: [[0.8205228  0.17947719]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.38348070154257]
Predicted rank: [0], ambiguousness: [[0.7021203  0.29787973]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.43345688349866]
Predicted rank: [0], ambiguousness: [[0.87637055 0.12362946]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 98.64338272747541]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.17613422047805]
Predicted rank: [0], ambiguousness: [[0.784636   0.21536396]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 99.33058153719548]
Predicted rank: [0], ambiguousness: [[0.8435495  0.15645052]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 99.39330540804477]
Predicted rank: [0], ambiguousness: [[0.87334096 0.12665907]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 99.38045976493832]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.94471398219787]
Predicted rank: [0], ambiguousness: [[0.775147   0.22485298]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.17586537714669]
Predicted rank: [0], ambiguousness: [[0.7929233  0.20707673]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.24132957286481]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.23004473753167]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 100.3383661265409]
Predicted rank: [0], ambiguousness: [[0.6688167  0.33118328]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 100.45533592874008]
Predicted rank: [0], ambiguousness: [[0.828068   0.17193197]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 100.4491166385848]
Predicted rank: [0], ambiguousness: [[0.81583416 0.18416582]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 100.50912805280913]
Predicted rank: [0], ambiguousness: [[0.70032126 0.29967874]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 100.53840295579165]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 100.53667572086371]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.07031047084118]
Predicted rank: [0], ambiguousness: [[0.65136856 0.34863144]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.94449364029227]
Predicted rank: [0], ambiguousness: [[0.67804253 0.3219575 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.72417134262147]
Predicted rank: [0], ambiguousness: [[0.6622714  0.33772865]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.75117718587799]
Predicted rank: [0], ambiguousness: [[0.74537295 0.25462705]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.6261821209567]
Predicted rank: [0], ambiguousness: [[0.7609838  0.23901615]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.85217031376408]
Predicted rank: [0], ambiguousness: [[0.6582462  0.34175378]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.95466508476963]
Predicted rank: [0], ambiguousness: [[0.72176266 0.27823734]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.99976658071714]
Predicted rank: [0], ambiguousness: [[0.8133702  0.18662976]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.9840119617337]
Predicted rank: [0], ambiguousness: [[0.7582028  0.24179724]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.32171763470726]
Predicted rank: [0], ambiguousness: [[0.6932454  0.30675456]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.40087393136997]
Predicted rank: [0], ambiguousness: [[0.78505397 0.214946  ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.22771395254007]
Predicted rank: [0], ambiguousness: [[0.8082069 0.1917931]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.4438154945513]
Predicted rank: [0], ambiguousness: [[0.68901235 0.31098765]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.54254459001343]
Predicted rank: [0], ambiguousness: [[0.79054385 0.20945615]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.58608959329827]
Predicted rank: [0], ambiguousness: [[0.85036457 0.14963546]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.57029310912105]
Predicted rank: [0], ambiguousness: [[0.78809637 0.21190362]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.47749531359136]
Predicted rank: [0], ambiguousness: [[0.66313076 0.33686927]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.86237422810912]
Predicted rank: [0], ambiguousness: [[0.77360594 0.22639409]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.94602361094817]
Predicted rank: [0], ambiguousness: [[0.7829219  0.21707806]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.17752951140473]
Predicted rank: [0], ambiguousness: [[0.68571967 0.31428033]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.28112985603539]
Predicted rank: [0], ambiguousness: [[0.7295586 0.2704414]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.3263373827442]
Predicted rank: [0], ambiguousness: [[0.8267691  0.17323087]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.31072633158897]
Predicted rank: [0], ambiguousness: [[0.7110361  0.28896388]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.3949714073027]
Predicted rank: [0], ambiguousness: [[0.88057685 0.11942314]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.63018248154657]
Predicted rank: [0], ambiguousness: [[0.7663055 0.2336945]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.14214846954359]
Predicted rank: [0], ambiguousness: [[0.79121995 0.20878008]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.29114955325574]
Predicted rank: [0], ambiguousness: [[0.84867966 0.15132035]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.35172550786328]
Predicted rank: [0], ambiguousness: [[0.87763596 0.12236405]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.33880856662299]
Predicted rank: [0], ambiguousness: [[0.8244778  0.17552224]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.87505467029908]
Predicted rank: [0], ambiguousness: [[0.78194034 0.21805963]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.09862242696406]
Predicted rank: [0], ambiguousness: [[0.7993186  0.20068137]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.16199856974256]
Predicted rank: [0], ambiguousness: [[0.8774002 0.1225998]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.15061918829]
Predicted rank: [0], ambiguousness: [[0.84893614 0.15106387]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 101.25430136946241]
Predicted rank: [0], ambiguousness: [[0.67748594 0.32251406]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 101.36785416088381]
Predicted rank: [0], ambiguousness: [[0.83360577 0.16639425]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 101.36142489648134]
Predicted rank: [0], ambiguousness: [[0.8216811  0.17831892]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 101.41934399080247]
Predicted rank: [0], ambiguousness: [[0.7085252 0.2914748]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 101.44757143977135]
Predicted rank: [0], ambiguousness: [[0.74418914 0.2558109 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 101.44536727619852]
Predicted rank: [0], ambiguousness: [[0.81069386 0.18930611]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.13819969131495]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.9327225050861]
Predicted rank: [0], ambiguousness: [[0.6557096  0.34429035]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.96787222852751]
Predicted rank: [0], ambiguousness: [[0.74819624 0.2518038 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.83034694093413]
Predicted rank: [0], ambiguousness: [[0.7636889  0.23631106]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.0538244187038]
Predicted rank: [0], ambiguousness: [[0.6615969 0.3384031]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.15534584233257]
Predicted rank: [0], ambiguousness: [[0.724751 0.275249]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.20004078074244]
Predicted rank: [0], ambiguousness: [[0.8156261  0.18437392]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.18428097295146]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.69972901445334]
Predicted rank: [0], ambiguousness: [[0.64012337 0.35987663]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.78442938476968]
Predicted rank: [0], ambiguousness: [[0.766872   0.23312801]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.67827877859662]
Predicted rank: [0], ambiguousness: [[0.78461087 0.21538915]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.90565602735364]
Predicted rank: [0], ambiguousness: [[0.6942895 0.3057105]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.00851206844644]
Predicted rank: [0], ambiguousness: [[0.7654055  0.23459454]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.0537211257674]
Predicted rank: [0], ambiguousness: [[0.8226482  0.17735177]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.03800554941992]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.96606348456004]
Predicted rank: [0], ambiguousness: [[0.647573   0.35242698]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.24639702912465]
Predicted rank: [0], ambiguousness: [[0.75385416 0.24614587]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.42402858239906]
Predicted rank: [0], ambiguousness: [[0.772307   0.22769302]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.66755381469456]
Predicted rank: [0], ambiguousness: [[0.67234075 0.32765928]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.77547982568848]
Predicted rank: [0], ambiguousness: [[0.7172765 0.2827235]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.82239354387305]
Predicted rank: [0], ambiguousness: [[0.82832956 0.17167045]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.80687474310344]
Predicted rank: [0], ambiguousness: [[0.7168896 0.2831104]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.8698840564781]
Predicted rank: [0], ambiguousness: [[0.8793081  0.12069187]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.07848697296839]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.61648061552619]
Predicted rank: [0], ambiguousness: [[0.77961177 0.22038825]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 99.77164098570694]
Predicted rank: [0], ambiguousness: [[0.8396186  0.16038136]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 99.83453319535107]
Predicted rank: [0], ambiguousness: [[0.87800455 0.12199542]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 99.82182879905002]
Predicted rank: [0], ambiguousness: [[0.8342273 0.1657727]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.40118510515344]
Predicted rank: [0], ambiguousness: [[0.76996624 0.23003379]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.63277903485445]
Predicted rank: [0], ambiguousness: [[0.78804004 0.21195994]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.69822944831428]
Predicted rank: [0], ambiguousness: [[0.8777695  0.12223056]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.68705566255048]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 100.79659840094553]
Predicted rank: [0], ambiguousness: [[0.6622535 0.3377465]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 100.91342611167404]
Predicted rank: [0], ambiguousness: [[0.83408195 0.16591804]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 100.9072961759063]
Predicted rank: [0], ambiguousness: [[0.83155423 0.16844578]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 100.96749556714099]
Predicted rank: [0], ambiguousness: [[0.703307   0.29669303]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 100.99674498267376]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 100.99516190723457]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.44826882263658]
Predicted rank: [0], ambiguousness: [[0.67236423 0.3276358 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.79659123043677]
Predicted rank: [0], ambiguousness: [[0.7720903  0.22790965]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.9323682730332]
Predicted rank: [0], ambiguousness: [[0.7962934  0.20370659]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.16724976855637]
Predicted rank: [0], ambiguousness: [[0.6726934  0.32730663]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.27191013433051]
Predicted rank: [0], ambiguousness: [[0.7451471  0.25485286]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.31747769487342]
Predicted rank: [0], ambiguousness: [[0.845642   0.15435803]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.30192260434418]
Predicted rank: [0], ambiguousness: [[0.72729325 0.27270678]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 100.4188043705528]
Predicted rank: [0], ambiguousness: [[0.8956964  0.10430357]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.65101403051355]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.16798909908493]
Predicted rank: [0], ambiguousness: [[0.7998584 0.2001416]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.31791101418375]
Predicted rank: [0], ambiguousness: [[0.87775487 0.12224513]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.37879307370346]
Predicted rank: [0], ambiguousness: [[0.89844203 0.10155794]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.3659378803224]
Predicted rank: [0], ambiguousness: [[0.8513843  0.14861572]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.91502228855936]
Predicted rank: [0], ambiguousness: [[0.7938251  0.20617492]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.13946523988228]
Predicted rank: [0], ambiguousness: [[0.84397894 0.15602106]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.20301655442047]
Predicted rank: [0], ambiguousness: [[0.90351266 0.09648734]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.19167999542961]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 101.29626850595061]
Predicted rank: [0], ambiguousness: [[0.74346906 0.25653094]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 101.4100663820326]
Predicted rank: [0], ambiguousness: [[0.8506793  0.14932075]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 101.40368178333628]
Predicted rank: [0], ambiguousness: [[0.8484154  0.15158463]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 101.46185824099635]
Predicted rank: [0], ambiguousness: [[0.7484255  0.25157452]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 101.49016172709085]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 101.48804480605655]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.98159761420352]
Predicted rank: [0], ambiguousness: [[0.74674547 0.25325456]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 101.09036905246228]
Predicted rank: [0], ambiguousness: [[0.77298236 0.22701763]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 101.3204498815156]
Predicted rank: [0], ambiguousness: [[0.67318714 0.32681283]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 101.4235133548214]
Predicted rank: [0], ambiguousness: [[0.7350445 0.2649555]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 101.46848348920776]
Predicted rank: [0], ambiguousness: [[0.81258273 0.18741724]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 101.45287641127243]
Predicted rank: [0], ambiguousness: [[0.7450161 0.2549839]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.77832855309506]
Predicted rank: [0], ambiguousness: [[0.77435267 0.2256473 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 98.98579800973744]
Predicted rank: [0], ambiguousness: [[0.76187116 0.23812886]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.60542393224614]
Predicted rank: [0], ambiguousness: [[0.78407633 0.2159237 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 99.77117538147797]
Predicted rank: [0], ambiguousness: [[0.8314637 0.1685363]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 99.83731043390833]
Predicted rank: [0], ambiguousness: [[0.87717974 0.12282029]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 99.82523995729656]
Predicted rank: [0], ambiguousness: [[0.7715547  0.22844529]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.61603959882393]
Predicted rank: [0], ambiguousness: [[0.79071045 0.20928955]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.85286370090648]
Predicted rank: [0], ambiguousness: [[0.79391897 0.20608106]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.91900909525087]
Predicted rank: [0], ambiguousness: [[0.8868251  0.11317494]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.9080585311302]
Predicted rank: [0], ambiguousness: [[0.82479125 0.17520876]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 101.0237292838231]
Predicted rank: [0], ambiguousness: [[0.6746967  0.32530332]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 101.14137340168348]
Predicted rank: [0], ambiguousness: [[0.84580564 0.15419436]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 101.13544669607376]
Predicted rank: [0], ambiguousness: [[0.8030652  0.19693483]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 101.19719508562586]
Predicted rank: [0], ambiguousness: [[0.7027283  0.29727176]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 101.22663998981373]
Predicted rank: [0], ambiguousness: [[0.6910848 0.3089152]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 101.22546711779282]
Predicted rank: [0], ambiguousness: [[0.81471556 0.18528445]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 0, 1, 1, 1, 8]
Costs: [96.75430513610408, 99.5178287660647]
Predicted rank: [0], ambiguousness: [[0.87541056 0.12458947]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 2, 0, 1, 1, 8]
Costs: [96.75430513610408, 100.14881943405399]
Predicted rank: [0], ambiguousness: [[0.897027   0.10297297]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 2, 0, 1, 8]
Costs: [96.75430513610408, 100.30464675528523]
Predicted rank: [0], ambiguousness: [[0.9252659  0.07473409]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 2, 0, 8]
Costs: [96.75430513610408, 100.36723121490604]
Predicted rank: [0], ambiguousness: [[0.93953454 0.06046546]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 2, 7]
Costs: [96.75430513610408, 100.35469947469345]
Predicted rank: [0], ambiguousness: [[0.9151635  0.08483649]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 8]
Costs: [96.75430513610408, 99.13207460522159]
Predicted rank: [0], ambiguousness: [[0.6733565  0.32664353]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 8]
Costs: [96.75430513610408, 99.48205436940131]
Predicted rank: [0], ambiguousness: [[0.7643801  0.23561993]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 8]
Costs: [96.75430513610408, 99.57646172887682]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 7]
Costs: [96.75430513610408, 99.57109005837677]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 8]
Costs: [96.75430513610408, 99.92670322333673]
Predicted rank: [0], ambiguousness: [[0.79117674 0.20882328]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 8]
Costs: [96.75430513610408, 100.08313402701144]
Predicted rank: [0], ambiguousness: [[0.90329725 0.09670275]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 2, 7]
Costs: [96.75430513610408, 100.08231723330908]
Predicted rank: [0], ambiguousness: [[0.8878472  0.11215284]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 8]
Costs: [96.75430513610408, 100.17825046791194]
Predicted rank: [0], ambiguousness: [[0.8304497  0.16955028]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 2, 7]
Costs: [96.75430513610408, 100.21830567525095]
Predicted rank: [0], ambiguousness: [[0.85558695 0.14441304]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 1, 7]
Costs: [96.75430513610408, 100.22817120695831]
Predicted rank: [0], ambiguousness: [[0.8881891  0.11181091]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 8]
Costs: [96.75430513610408, 100.64216415739097]
Predicted rank: [0], ambiguousness: [[0.75131696 0.24868304]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 8]
Costs: [96.75430513610408, 100.80852630972538]
Predicted rank: [0], ambiguousness: [[0.88761556 0.11238446]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 2, 7]
Costs: [96.75430513610408, 100.81106056498928]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 8]
Costs: [96.75430513610408, 100.98235399593767]
Predicted rank: [0], ambiguousness: [[0.7830733  0.21692666]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 2, 7]
Costs: [96.75430513610408, 101.02537424436703]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 1, 7]
Costs: [96.75430513610408, 101.03979962112294]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 8]
Costs: [96.75430513610408, 101.1161183252034]
Predicted rank: [0], ambiguousness: [[0.64576113 0.35423887]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 2, 7]
Costs: [96.75430513610408, 101.1703046048465]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 1, 7]
Costs: [96.75430513610408, 101.23626673437923]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 3, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 1, 7]
Costs: [96.75430513610408, 101.2627707391664]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Schedule pairs: [4, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [96.75430513610408, 98.04597618657832]
Predicted rank: [1], ambiguousness: [[0.48846048 0.5115395 ]]
Found better solution: [5, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [5, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [98.04597618657832, 101.16491664914645]
Predicted rank: [0], ambiguousness: [[0.6327441  0.36725596]]
Schedule pairs: [5, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [98.04597618657832, 98.53721308619761]
Predicted rank: [1], ambiguousness: [[0.44375372 0.5562463 ]]
Found better solution: [5, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [5, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [98.53721308619761, 101.63674279487168]
Predicted rank: [0], ambiguousness: [[0.6445456 0.3554544]]
Schedule pairs: [5, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [98.53721308619761, 99.03513887433265]
Predicted rank: [1], ambiguousness: [[0.47577983 0.52422017]]
Found better solution: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.12885922524276]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.53485345407692]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.28023547765721]
Predicted rank: [0], ambiguousness: [[0.52547926 0.47452074]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.02046755026959]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.42572669250856]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.22364692896497]
Predicted rank: [0], ambiguousness: [[0.53229475 0.46770525]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.45844270995293]
Predicted rank: [0], ambiguousness: [[0.6591344  0.34086564]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.09113249231854]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.26120666559211]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.33993482964931]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.37497301054773]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.36192608088395]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.62756822163601]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.14153096193775]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.81514910333144]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.46918760715539]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.19970613329838]
Predicted rank: [0], ambiguousness: [[0.6575543  0.34244567]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.21146286218149]
Predicted rank: [0], ambiguousness: [[0.74348587 0.25651413]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.06012753612212]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.2830940991681]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.38479241735813]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.42964968834505]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.41377169471735]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.77995005740149]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.52018213001386]
Predicted rank: [0], ambiguousness: [[0.5138555  0.48614448]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.92544127225284]
Predicted rank: [0], ambiguousness: [[0.5831593 0.4168407]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.72336150870925]
Predicted rank: [0], ambiguousness: [[0.5161288 0.4838712]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.95815728969723]
Predicted rank: [0], ambiguousness: [[0.6607081  0.33929187]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.59084707206281]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.7609212453364]
Predicted rank: [0], ambiguousness: [[0.58514446 0.41485554]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.83964940939359]
Predicted rank: [0], ambiguousness: [[0.60340667 0.39659333]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.87468759029201]
Predicted rank: [0], ambiguousness: [[0.72358704 0.27641296]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.86164066062823]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.71469163412539]
Predicted rank: [0], ambiguousness: [[0.52547926 0.47452074]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.12218779926773]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.66373755675706]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.4595720978055]
Predicted rank: [0], ambiguousness: [[0.53319156 0.46680847]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.6870389616148]
Predicted rank: [0], ambiguousness: [[0.6591344  0.34086564]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.33150610645203]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.50394803844574]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.58359678903395]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.6190218420119]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.60598377695541]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.44454338640884]
Predicted rank: [0], ambiguousness: [[0.54353744 0.45646256]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.33412597609149]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.15571864536003]
Predicted rank: [0], ambiguousness: [[0.52771485 0.47228515]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.37655216656452]
Predicted rank: [0], ambiguousness: [[0.6632232 0.3367768]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.05917260799788]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.23829163652854]
Predicted rank: [0], ambiguousness: [[0.60515755 0.39484245]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.3203892863978]
Predicted rank: [0], ambiguousness: [[0.62310624 0.3768938 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.35680616342242]
Predicted rank: [0], ambiguousness: [[0.7452712 0.2547288]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.34382901764762]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.5687531219559]
Predicted rank: [0], ambiguousness: [[0.56288445 0.43711558]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.82772395969758]
Predicted rank: [0], ambiguousness: [[0.71073824 0.28926176]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.47770799595452]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.65003154719264]
Predicted rank: [0], ambiguousness: [[0.6380752  0.36192483]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.72953618256763]
Predicted rank: [0], ambiguousness: [[0.7063533  0.29364672]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.76487655382964]
Predicted rank: [0], ambiguousness: [[0.7923176 0.2076824]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.75185695387843]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.68648890927633]
Predicted rank: [0], ambiguousness: [[0.54464865 0.45535132]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.40734509121204]
Predicted rank: [0], ambiguousness: [[0.62622017 0.37377983]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.25604815657432]
Predicted rank: [0], ambiguousness: [[0.695995   0.30400506]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.44032564091862]
Predicted rank: [0], ambiguousness: [[0.6203459 0.3796541]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.5236030844168]
Predicted rank: [0], ambiguousness: [[0.6049952 0.3950048]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.56023448799752]
Predicted rank: [0], ambiguousness: [[0.751359   0.24864098]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.54737016139737]
Predicted rank: [0], ambiguousness: [[0.7021203  0.29787973]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.81766362360631]
Predicted rank: [0], ambiguousness: [[0.82545805 0.17454195]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.20205272303022]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.60897774296237]
Predicted rank: [0], ambiguousness: [[0.7377496  0.26225045]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 98.72852044869222]
Predicted rank: [0], ambiguousness: [[0.7824756  0.21752444]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 98.77742419135413]
Predicted rank: [0], ambiguousness: [[0.8289293  0.17107072]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 98.76677034749727]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.18345218448431]
Predicted rank: [0], ambiguousness: [[0.6673378  0.33266225]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.36349173893673]
Predicted rank: [0], ambiguousness: [[0.7301569 0.2698431]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.41490557856702]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.40549727719801]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.48653315453426]
Predicted rank: [0], ambiguousness: [[0.598469   0.40153095]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 99.57888489917764]
Predicted rank: [0], ambiguousness: [[0.8001343  0.19986568]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 99.57356069532244]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 99.61965891658093]
Predicted rank: [0], ambiguousness: [[0.5969584 0.4030416]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 99.64274624824328]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 99.6404784240074]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.640239958331]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.31385809972468]
Predicted rank: [0], ambiguousness: [[0.6675163 0.3324837]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.96789660354864]
Predicted rank: [0], ambiguousness: [[0.7265707  0.27342924]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.69841512969163]
Predicted rank: [0], ambiguousness: [[0.6938255 0.3061745]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.71017185857474]
Predicted rank: [0], ambiguousness: [[0.7757225  0.22427747]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.55883653251537]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.78180309556134]
Predicted rank: [0], ambiguousness: [[0.6923696 0.3076304]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.88350141375138]
Predicted rank: [0], ambiguousness: [[0.75193405 0.24806595]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.9283586847383]
Predicted rank: [0], ambiguousness: [[0.8319682  0.16803178]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.9124806911106]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.49707740675044]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.55118183520352]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.46837686876378]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.19473683879582]
Predicted rank: [0], ambiguousness: [[0.65836513 0.3416349 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.19209373532723]
Predicted rank: [0], ambiguousness: [[0.74348587 0.25651413]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.06361360155213]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.29117271369208]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.39465743038124]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.44026296141693]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.42439122320718]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.1892624593672]
Predicted rank: [0], ambiguousness: [[0.64236784 0.35763213]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.03334681464622]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.80159458783322]
Predicted rank: [0], ambiguousness: [[0.6534024 0.3465976]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.78999581713023]
Predicted rank: [0], ambiguousness: [[0.73782235 0.26217765]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.71865407251624]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.95610731052693]
Predicted rank: [0], ambiguousness: [[0.6493275 0.3506725]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.06320661901961]
Predicted rank: [0], ambiguousness: [[0.71378076 0.2862192 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.11026757538251]
Predicted rank: [0], ambiguousness: [[0.80731475 0.19268523]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.09447222253326]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.4731415869521]
Predicted rank: [0], ambiguousness: [[0.6848027 0.3151973]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.52013510270197]
Predicted rank: [0], ambiguousness: [[0.77833015 0.22166985]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.39449318159161]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.62079491990232]
Predicted rank: [0], ambiguousness: [[0.6805068  0.31949317]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.72364573741527]
Predicted rank: [0], ambiguousness: [[0.7839445  0.21605554]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.76895053985896]
Predicted rank: [0], ambiguousness: [[0.845281   0.15471897]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.75310816147376]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.648208871236]
Predicted rank: [0], ambiguousness: [[0.65427256 0.34572747]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.94871984042695]
Predicted rank: [0], ambiguousness: [[0.7428541  0.25714585]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.09807682079179]
Predicted rank: [0], ambiguousness: [[0.7755239 0.2244761]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.34080349595305]
Predicted rank: [0], ambiguousness: [[0.67637825 0.32362178]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.44884591562095]
Predicted rank: [0], ambiguousness: [[0.72099006 0.27900997]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.49592039491186]
Predicted rank: [0], ambiguousness: [[0.8205228  0.17947719]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.48027592409463]
Predicted rank: [0], ambiguousness: [[0.7021203  0.29787973]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.523863311212]
Predicted rank: [0], ambiguousness: [[0.87637055 0.12362946]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.72897264674215]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.2658280178063]
Predicted rank: [0], ambiguousness: [[0.784636   0.21536396]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.42132628165733]
Predicted rank: [0], ambiguousness: [[0.8435495  0.15645052]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.48446045621071]
Predicted rank: [0], ambiguousness: [[0.87334096 0.12665907]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.47163500934543]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.04168426519925]
Predicted rank: [0], ambiguousness: [[0.775147   0.22485298]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.27427965755686]
Predicted rank: [0], ambiguousness: [[0.7929233  0.20707673]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.34013654878765]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.32887523434216]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.43811979713054]
Predicted rank: [0], ambiguousness: [[0.6688167  0.33118328]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 102.55572666480842]
Predicted rank: [0], ambiguousness: [[0.828068   0.17193197]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 102.54955166113426]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 102.60996467897743]
Predicted rank: [0], ambiguousness: [[0.70032126 0.29967874]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 102.63943628301936]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 102.63780616758041]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.21440621386967]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.62190237901203]
Predicted rank: [0], ambiguousness: [[0.5138555  0.48614448]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.16345213650135]
Predicted rank: [0], ambiguousness: [[0.5831593 0.4168407]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.95928667754978]
Predicted rank: [0], ambiguousness: [[0.51702845 0.48297155]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.1867535413591]
Predicted rank: [0], ambiguousness: [[0.6607081  0.33929187]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.8312206861963]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 100.00366261819003]
Predicted rank: [0], ambiguousness: [[0.58514446 0.41485554]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 100.08331136877823]
Predicted rank: [0], ambiguousness: [[0.60340667 0.39659333]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 100.11873642175618]
Predicted rank: [0], ambiguousness: [[0.72358704 0.27641296]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 100.10569835669969]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.94425796615312]
Predicted rank: [0], ambiguousness: [[0.5610782  0.43892178]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.83384055583578]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.6554332251043]
Predicted rank: [0], ambiguousness: [[0.5115359  0.48846412]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.8762667463088]
Predicted rank: [0], ambiguousness: [[0.66478765 0.33521232]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.55888718774217]
Predicted rank: [0], ambiguousness: [[0.68013126 0.31986874]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.73800621627285]
Predicted rank: [0], ambiguousness: [[0.58956826 0.41043177]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.82010386614209]
Predicted rank: [0], ambiguousness: [[0.6077663  0.39223376]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.85652074316671]
Predicted rank: [0], ambiguousness: [[0.74133205 0.25866792]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.84354359739191]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.06846770170017]
Predicted rank: [0], ambiguousness: [[0.5468758  0.45312423]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.32743853944186]
Predicted rank: [0], ambiguousness: [[0.7121778 0.2878222]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.9774225756988]
Predicted rank: [0], ambiguousness: [[0.73782516 0.26217487]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 100.14974612693692]
Predicted rank: [0], ambiguousness: [[0.62297577 0.37702423]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 100.22925076231192]
Predicted rank: [0], ambiguousness: [[0.6927307  0.30726928]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 100.26459113357393]
Predicted rank: [0], ambiguousness: [[0.78889984 0.21110015]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 100.25157153362272]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.18620348902061]
Predicted rank: [0], ambiguousness: [[0.52853155 0.47146845]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.90705967095633]
Predicted rank: [0], ambiguousness: [[0.62786007 0.3721399 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.75576273631862]
Predicted rank: [0], ambiguousness: [[0.6821081 0.3178919]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.9400402206629]
Predicted rank: [0], ambiguousness: [[0.6049648 0.3950352]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 100.0233176641611]
Predicted rank: [0], ambiguousness: [[0.58940387 0.41059616]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 100.0599490677418]
Predicted rank: [0], ambiguousness: [[0.74748206 0.2525179 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 100.04708474114165]
Predicted rank: [0], ambiguousness: [[0.6958691  0.30413088]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.31737820335059]
Predicted rank: [0], ambiguousness: [[0.8292093  0.17079066]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.7017673027745]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.10869232270666]
Predicted rank: [0], ambiguousness: [[0.7319781  0.26802188]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.2282350284365]
Predicted rank: [0], ambiguousness: [[0.7817801  0.21821988]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.27713877109841]
Predicted rank: [0], ambiguousness: [[0.83606637 0.16393365]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.26648492724155]
Predicted rank: [0], ambiguousness: [[0.8248708  0.17512919]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.68316676422859]
Predicted rank: [0], ambiguousness: [[0.65279484 0.34720513]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.86320631868102]
Predicted rank: [0], ambiguousness: [[0.7171966  0.28280345]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.91462015831131]
Predicted rank: [0], ambiguousness: [[0.83378977 0.16621025]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.90521185694229]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.98624773427855]
Predicted rank: [0], ambiguousness: [[0.5827977 0.4172023]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 100.07859947892192]
Predicted rank: [0], ambiguousness: [[0.79681224 0.20318775]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 100.07327527506672]
Predicted rank: [0], ambiguousness: [[0.8055271  0.19447288]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 100.11937349632521]
Predicted rank: [0], ambiguousness: [[0.58126926 0.4187307 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 100.14246082798756]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 100.14019300375168]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.18877724274816]
Predicted rank: [0], ambiguousness: [[0.51395917 0.48604083]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.52684034174149]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.09780417425316]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.89352168774242]
Predicted rank: [0], ambiguousness: [[0.53319156 0.46680847]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.12069892728508]
Predicted rank: [0], ambiguousness: [[0.6591344  0.34086564]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.76574280215678]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.93829667543389]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 100.01798818212635]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 100.05343101576737]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 100.04039355935672]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.48345494474053]
Predicted rank: [0], ambiguousness: [[0.54353744 0.45646256]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.40095541412236]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.23349385539521]
Predicted rank: [0], ambiguousness: [[0.52771485 0.47228515]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.44338456304621]
Predicted rank: [0], ambiguousness: [[0.6632232 0.3367768]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.15149971196186]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.33543925065382]
Predicted rank: [0], ambiguousness: [[0.60515755 0.39484245]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.41936717920794]
Predicted rank: [0], ambiguousness: [[0.62310624 0.3768938 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.45654235770152]
Predicted rank: [0], ambiguousness: [[0.7452712 0.2547288]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.44359374789515]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.79458851534272]
Predicted rank: [0], ambiguousness: [[0.56288445 0.43711558]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.04792587217425]
Predicted rank: [0], ambiguousness: [[0.71073824 0.28926176]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.71075813031158]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.88558318381847]
Predicted rank: [0], ambiguousness: [[0.6380752  0.36192483]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.9660543310851]
Predicted rank: [0], ambiguousness: [[0.7063533  0.29364672]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 100.00179941334322]
Predicted rank: [0], ambiguousness: [[0.7923176 0.2076824]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.98879031970407]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.92086443912603]
Predicted rank: [0], ambiguousness: [[0.54464865 0.45535132]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.61970164768746]
Predicted rank: [0], ambiguousness: [[0.6557835  0.34421653]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.48655756424341]
Predicted rank: [0], ambiguousness: [[0.6967566  0.30324337]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.6736198665343]
Predicted rank: [0], ambiguousness: [[0.621194 0.378806]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.75795170947401]
Predicted rank: [0], ambiguousness: [[0.60585576 0.39414424]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.79501674868568]
Predicted rank: [0], ambiguousness: [[0.75203145 0.24796857]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.78216665838457]
Predicted rank: [0], ambiguousness: [[0.7028732  0.29712683]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.04349454196061]
Predicted rank: [0], ambiguousness: [[0.82545805 0.17454195]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.42093537288106]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.834059884461]
Predicted rank: [0], ambiguousness: [[0.7377496  0.26225045]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 98.95515077302096]
Predicted rank: [0], ambiguousness: [[0.7824756  0.21752444]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.00465347973125]
Predicted rank: [0], ambiguousness: [[0.8289293  0.17107072]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 98.99404513494265]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.41995591520785]
Predicted rank: [0], ambiguousness: [[0.6673378  0.33266225]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.60208451633449]
Predicted rank: [0], ambiguousness: [[0.7301569 0.2698431]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.65406077642766]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.64470003572472]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.72713560333275]
Predicted rank: [0], ambiguousness: [[0.598469   0.40153095]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 99.82038786945415]
Predicted rank: [0], ambiguousness: [[0.8001343  0.19986568]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 99.81513922533975]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 99.86182216605911]
Predicted rank: [0], ambiguousness: [[0.5969584 0.4030416]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 99.88519310948794]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 99.88308008173206]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.73104374311515]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.57299207013384]
Predicted rank: [0], ambiguousness: [[0.53025734 0.46974266]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.79394743656182]
Predicted rank: [0], ambiguousness: [[0.67524964 0.32475036]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.48167997289826]
Predicted rank: [0], ambiguousness: [[0.70547986 0.29452017]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.66164406553162]
Predicted rank: [0], ambiguousness: [[0.6180634 0.3819366]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.74404598708318]
Predicted rank: [0], ambiguousness: [[0.6357784  0.36422154]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.7805850145524]
Predicted rank: [0], ambiguousness: [[0.75544804 0.24455197]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.76761608946804]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.39224385079412]
Predicted rank: [0], ambiguousness: [[0.5132079  0.48679206]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.6535146882523]
Predicted rank: [0], ambiguousness: [[0.6971457  0.30285427]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.36588263791887]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.54889492663268]
Predicted rank: [0], ambiguousness: [[0.6527543  0.34724572]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.6323376663191]
Predicted rank: [0], ambiguousness: [[0.6838415  0.31615847]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.66927816983029]
Predicted rank: [0], ambiguousness: [[0.76409924 0.23590073]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.65634824849946]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.60778337777822]
Predicted rank: [0], ambiguousness: [[0.54917145 0.45082852]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.23077471578492]
Predicted rank: [0], ambiguousness: [[0.63979006 0.3602099 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.16684079229603]
Predicted rank: [0], ambiguousness: [[0.6920908 0.3079092]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.36256188242497]
Predicted rank: [0], ambiguousness: [[0.61600626 0.38399377]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.44998404813524]
Predicted rank: [0], ambiguousness: [[0.600593 0.399407]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.48826423338377]
Predicted rank: [0], ambiguousness: [[0.76129895 0.23870105]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.47550073436142]
Predicted rank: [0], ambiguousness: [[0.7168896 0.2831104]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.72355080932905]
Predicted rank: [0], ambiguousness: [[0.83601964 0.16398038]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.08234843145561]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.5141199804277]
Predicted rank: [0], ambiguousness: [[0.74126554 0.25873443]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 98.6395919040929]
Predicted rank: [0], ambiguousness: [[0.7855662  0.21443382]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 98.69073804632765]
Predicted rank: [0], ambiguousness: [[0.84139395 0.15860605]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 98.68030321735444]
Predicted rank: [0], ambiguousness: [[0.8342273 0.1657727]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.13759439152281]
Predicted rank: [0], ambiguousness: [[0.6713773  0.32862273]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.32538888777314]
Predicted rank: [0], ambiguousness: [[0.733738 0.266262]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.37882572694454]
Predicted rank: [0], ambiguousness: [[0.84863716 0.15136284]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.3696288616793]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.45626423241819]
Predicted rank: [0], ambiguousness: [[0.60284716 0.39715284]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 99.55180706182416]
Predicted rank: [0], ambiguousness: [[0.81422687 0.18577313]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 99.54678626898512]
Predicted rank: [0], ambiguousness: [[0.82624185 0.17375812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 99.5950815180365]
Predicted rank: [0], ambiguousness: [[0.6117828  0.38821724]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 99.61917639138369]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 99.61752039689561]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.01380055152636]
Predicted rank: [0], ambiguousness: [[0.56465983 0.43534017]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.69442487577085]
Predicted rank: [0], ambiguousness: [[0.66269577 0.33730423]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.59389250227215]
Predicted rank: [0], ambiguousness: [[0.7214802 0.2785198]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.7823647762495]
Predicted rank: [0], ambiguousness: [[0.61638486 0.3836151 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.86705903757259]
Predicted rank: [0], ambiguousness: [[0.63409853 0.3659015 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.90421452250807]
Predicted rank: [0], ambiguousness: [[0.7836053  0.21639474]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.89140355412948]
Predicted rank: [0], ambiguousness: [[0.72729325 0.27270678]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.18250948718403]
Predicted rank: [0], ambiguousness: [[0.8573322 0.1426678]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.56069480307372]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.97500079272012]
Predicted rank: [0], ambiguousness: [[0.76396847 0.23603153]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.0961307135826]
Predicted rank: [0], ambiguousness: [[0.83401436 0.16598564]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.14560952967075]
Predicted rank: [0], ambiguousness: [[0.86703587 0.13296415]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.13503022002118]
Predicted rank: [0], ambiguousness: [[0.8513843  0.14861572]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.56689015148706]
Predicted rank: [0], ambiguousness: [[0.7014973  0.29850265]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.74878522555443]
Predicted rank: [0], ambiguousness: [[0.8003776  0.19962242]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.80065192456742]
Predicted rank: [0], ambiguousness: [[0.8796749 0.1203251]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.79130388028982]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.87383371491225]
Predicted rank: [0], ambiguousness: [[0.6916976  0.30830243]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 99.9668827531658]
Predicted rank: [0], ambiguousness: [[0.8324113  0.16758874]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 99.96163595552572]
Predicted rank: [0], ambiguousness: [[0.84353477 0.15646525]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 100.00826340308203]
Predicted rank: [0], ambiguousness: [[0.6641736  0.33582637]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 100.03156955400203]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 100.02945677298501]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.83951452518454]
Predicted rank: [0], ambiguousness: [[0.66297996 0.33702004]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 99.71807703215069]
Predicted rank: [0], ambiguousness: [[0.70640975 0.29359025]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.90282201369823]
Predicted rank: [0], ambiguousness: [[0.61912024 0.38087973]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.98627847660134]
Predicted rank: [0], ambiguousness: [[0.6368151 0.3631849]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 100.02296990412577]
Predicted rank: [0], ambiguousness: [[0.7426975  0.25730255]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 100.01011370150283]
Predicted rank: [0], ambiguousness: [[0.7450161 0.2549839]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.6770016965059]
Predicted rank: [0], ambiguousness: [[0.6655737 0.3344263]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.03655193948428]
Predicted rank: [0], ambiguousness: [[0.67950416 0.32049587]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.53131853962634]
Predicted rank: [0], ambiguousness: [[0.7352947  0.26470527]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 98.66486113161523]
Predicted rank: [0], ambiguousness: [[0.74100816 0.25899187]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 98.71846090320192]
Predicted rank: [0], ambiguousness: [[0.8220361 0.1779639]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 98.70852406132322]
Predicted rank: [0], ambiguousness: [[0.7715547  0.22844529]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 99.33022585133978]
Predicted rank: [0], ambiguousness: [[0.6853428  0.31465718]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.52181945785985]
Predicted rank: [0], ambiguousness: [[0.71854186 0.28145814]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.57572372166226]
Predicted rank: [0], ambiguousness: [[0.85274273 0.14725728]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.5666917372211]
Predicted rank: [0], ambiguousness: [[0.82479125 0.17520876]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.65793705089499]
Predicted rank: [0], ambiguousness: [[0.54181975 0.45818025]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 99.75399802045592]
Predicted rank: [0], ambiguousness: [[0.8270626  0.17293736]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 99.74912267786466]
Predicted rank: [0], ambiguousness: [[0.79707366 0.20292634]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 99.79854803647822]
Predicted rank: [0], ambiguousness: [[0.5979972  0.40200278]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 99.82275639904657]
Predicted rank: [0], ambiguousness: [[0.6910848 0.3089152]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 99.82139579176379]
Predicted rank: [0], ambiguousness: [[0.81471556 0.18528445]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 1, 1, 1, 7]
Costs: [99.03513887433265, 98.45256019050322]
Predicted rank: [0], ambiguousness: [[0.8323606  0.16763939]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 2, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.95751907322085]
Predicted rank: [0], ambiguousness: [[0.8705728  0.12942718]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 2, 0, 1, 7]
Costs: [99.03513887433265, 99.0833762390093]
Predicted rank: [0], ambiguousness: [[0.892008   0.10799199]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 2, 0, 7]
Costs: [99.03513887433265, 99.1342169982234]
Predicted rank: [0], ambiguousness: [[0.9161033  0.08389669]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 2, 6]
Costs: [99.03513887433265, 99.12389919551529]
Predicted rank: [0], ambiguousness: [[0.9151635  0.08483649]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [99.03513887433265, 98.13470840730955]
Predicted rank: [0], ambiguousness: [[0.582132 0.417868]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [99.03513887433265, 98.4170663158082]
Predicted rank: [0], ambiguousness: [[0.69627607 0.30372396]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [99.03513887433265, 98.49367385198067]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 6]
Costs: [99.03513887433265, 98.48920588003617]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [99.03513887433265, 98.77243522547718]
Predicted rank: [0], ambiguousness: [[0.7469403 0.2530597]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [99.03513887433265, 98.8996039030144]
Predicted rank: [0], ambiguousness: [[0.8836832  0.11631678]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 2, 6]
Costs: [99.03513887433265, 98.89890331794447]
Predicted rank: [0], ambiguousness: [[0.8840626  0.11593739]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [99.03513887433265, 98.97584367678138]
Predicted rank: [0], ambiguousness: [[0.7661812  0.23381883]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 2, 6]
Costs: [99.03513887433265, 99.00860498192921]
Predicted rank: [0], ambiguousness: [[0.85558695 0.14441304]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 1, 6]
Costs: [99.03513887433265, 99.016177799909]
Predicted rank: [0], ambiguousness: [[0.8881891  0.11181091]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [99.03513887433265, 99.33861606816112]
Predicted rank: [0], ambiguousness: [[0.6218207  0.37817934]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [99.03513887433265, 99.47428566741999]
Predicted rank: [0], ambiguousness: [[0.8287981 0.1712019]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 2, 6]
Costs: [99.03513887433265, 99.47634151521862]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [99.03513887433265, 99.61456806335397]
Predicted rank: [0], ambiguousness: [[0.7189441  0.28105593]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 2, 6]
Costs: [99.03513887433265, 99.64985005901383]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 1, 6]
Costs: [99.03513887433265, 99.6612554703108]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [99.03513887433265, 99.72064457699923]
Predicted rank: [0], ambiguousness: [[0.5743182 0.4256818]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 2, 6]
Costs: [99.03513887433265, 99.76518437257887]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 1, 6]
Costs: [99.03513887433265, 99.8187876009911]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 1, 6]
Costs: [99.03513887433265, 99.83932009714206]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.99578640314368]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.04989083159678]
Predicted rank: [0], ambiguousness: [[0.6675163 0.3324837]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.96708586515703]
Predicted rank: [0], ambiguousness: [[0.7265707  0.27342924]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.69344583518907]
Predicted rank: [0], ambiguousness: [[0.69459033 0.3054097 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.69080273172048]
Predicted rank: [0], ambiguousness: [[0.7757225  0.22427747]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.56232259794541]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.78988171008534]
Predicted rank: [0], ambiguousness: [[0.6923696 0.3076304]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.8933664267745]
Predicted rank: [0], ambiguousness: [[0.75193405 0.24806595]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.9389719578102]
Predicted rank: [0], ambiguousness: [[0.8319682  0.16803178]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.92310021960046]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.68797145576048]
Predicted rank: [0], ambiguousness: [[0.70828635 0.29171365]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.53205581103947]
Predicted rank: [0], ambiguousness: [[0.70496154 0.2950385 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.30030358422647]
Predicted rank: [0], ambiguousness: [[0.68990594 0.31009406]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.28870481352348]
Predicted rank: [0], ambiguousness: [[0.7705511  0.22944891]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.21736306890949]
Predicted rank: [0], ambiguousness: [[0.7831856 0.2168144]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.45481630692018]
Predicted rank: [0], ambiguousness: [[0.68605405 0.31394595]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.56191561541286]
Predicted rank: [0], ambiguousness: [[0.74639344 0.25360653]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.60897657177577]
Predicted rank: [0], ambiguousness: [[0.83787245 0.16212757]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.5931812189265]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.97185058334537]
Predicted rank: [0], ambiguousness: [[0.71941936 0.28058067]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.01884409909525]
Predicted rank: [0], ambiguousness: [[0.8073227  0.19267732]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.89320217798486]
Predicted rank: [0], ambiguousness: [[0.82701933 0.17298068]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 103.11950391629557]
Predicted rank: [0], ambiguousness: [[0.71539915 0.28460082]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 103.22235473380852]
Predicted rank: [0], ambiguousness: [[0.81068295 0.18931706]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 103.26765953625221]
Predicted rank: [0], ambiguousness: [[0.8707814  0.12921856]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 103.25181715786701]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 103.14691786762924]
Predicted rank: [0], ambiguousness: [[0.69072783 0.30927214]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.4474288368202]
Predicted rank: [0], ambiguousness: [[0.77514625 0.22485377]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.59678581718504]
Predicted rank: [0], ambiguousness: [[0.80304265 0.19695736]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.8395124923463]
Predicted rank: [0], ambiguousness: [[0.7115303 0.2884697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.9475549120142]
Predicted rank: [0], ambiguousness: [[0.75306547 0.24693456]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.99462939130512]
Predicted rank: [0], ambiguousness: [[0.8493767  0.15062332]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.97898492048787]
Predicted rank: [0], ambiguousness: [[0.6958691  0.30413088]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.02257230760526]
Predicted rank: [0], ambiguousness: [[0.89608794 0.10391204]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.2276816431354]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.76453701419955]
Predicted rank: [0], ambiguousness: [[0.8073684  0.19263159]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.92003527805058]
Predicted rank: [0], ambiguousness: [[0.8641893  0.13581069]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.98316945260396]
Predicted rank: [0], ambiguousness: [[0.895832   0.10416798]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.97034400573868]
Predicted rank: [0], ambiguousness: [[0.8248708  0.17512919]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.5403932615925]
Predicted rank: [0], ambiguousness: [[0.8027002  0.19729976]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.77298865395011]
Predicted rank: [0], ambiguousness: [[0.8188074  0.18119258]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.8388455451809]
Predicted rank: [0], ambiguousness: [[0.89458555 0.10541444]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.82758423073541]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.93682879352379]
Predicted rank: [0], ambiguousness: [[0.7044313  0.29556873]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 103.05443566120167]
Predicted rank: [0], ambiguousness: [[0.85592186 0.14407814]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 103.0482606575275]
Predicted rank: [0], ambiguousness: [[0.8055271  0.19447288]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 103.10867367537068]
Predicted rank: [0], ambiguousness: [[0.7338958 0.2661042]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 103.13814527941261]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 103.13651516397366]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.93072593119389]
Predicted rank: [0], ambiguousness: [[0.61855197 0.38144803]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.84045794470026]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.82307924380468]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.54917037289063]
Predicted rank: [0], ambiguousness: [[0.65836513 0.3416349 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.54587237232718]
Predicted rank: [0], ambiguousness: [[0.74348587 0.25651413]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.4186718001579]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.64647925503795]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.75005889435535]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.79570378015433]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.77983283495038]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.80262776719863]
Predicted rank: [0], ambiguousness: [[0.64236784 0.35763213]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.70254904072733]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.49136635379034]
Predicted rank: [0], ambiguousness: [[0.6534024 0.3465976]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.45795060951346]
Predicted rank: [0], ambiguousness: [[0.73782235 0.26217765]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.43632888766521]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.68317872907807]
Predicted rank: [0], ambiguousness: [[0.6493275 0.3506725]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.79384786750376]
Predicted rank: [0], ambiguousness: [[0.71378076 0.2862192 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.84238327773912]
Predicted rank: [0], ambiguousness: [[0.80731475 0.19268523]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.82662315182287]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.44892029459297]
Predicted rank: [0], ambiguousness: [[0.6848027 0.3151973]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.48473925412787]
Predicted rank: [0], ambiguousness: [[0.77833015 0.22166985]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.3840338494592]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.61518793699872]
Predicted rank: [0], ambiguousness: [[0.6805068  0.31949317]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.71991447431559]
Predicted rank: [0], ambiguousness: [[0.7839445  0.21605554]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.76600215775613]
Predicted rank: [0], ambiguousness: [[0.845281   0.15471897]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.75016884577794]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.64032452181823]
Predicted rank: [0], ambiguousness: [[0.65427256 0.34572747]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.89797435102041]
Predicted rank: [0], ambiguousness: [[0.7666304  0.23336959]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.08257233332264]
Predicted rank: [0], ambiguousness: [[0.7761504  0.22384958]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.3307021660628]
Predicted rank: [0], ambiguousness: [[0.6771662  0.32283375]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.44079160708378]
Predicted rank: [0], ambiguousness: [[0.72171414 0.27828586]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.48870525883382]
Predicted rank: [0], ambiguousness: [[0.82105273 0.17894726]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.47307664129376]
Predicted rank: [0], ambiguousness: [[0.7028732  0.29712683]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.4991780643063]
Predicted rank: [0], ambiguousness: [[0.87637055 0.12362946]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.69070122332596]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.23960558332169]
Predicted rank: [0], ambiguousness: [[0.784636   0.21536396]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.39811030738527]
Predicted rank: [0], ambiguousness: [[0.8435495  0.15645052]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.46240521795116]
Predicted rank: [0], ambiguousness: [[0.87334096 0.12665907]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.44965496836971]
Predicted rank: [0], ambiguousness: [[0.81870234 0.18129766]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.03762210530991]
Predicted rank: [0], ambiguousness: [[0.775147   0.22485298]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.27428196535678]
Predicted rank: [0], ambiguousness: [[0.7929233  0.20707673]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.341228809381]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.33004831614744]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.44201336799311]
Predicted rank: [0], ambiguousness: [[0.6688167  0.33118328]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 102.56137249165369]
Predicted rank: [0], ambiguousness: [[0.828068   0.17193197]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 102.55533318517215]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 102.61688508219632]
Predicted rank: [0], ambiguousness: [[0.70032126 0.29967874]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 102.64690102150227]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 102.64556069342075]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.36224323367476]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.16431373339285]
Predicted rank: [0], ambiguousness: [[0.6557096  0.34429035]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.15282616929773]
Predicted rank: [0], ambiguousness: [[0.74819624 0.2518038 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.0901141135802]
Predicted rank: [0], ambiguousness: [[0.7636889  0.23631106]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.328993419792]
Predicted rank: [0], ambiguousness: [[0.6615969 0.3384031]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.43660663635207]
Predicted rank: [0], ambiguousness: [[0.724751 0.275249]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.48387334885935]
Predicted rank: [0], ambiguousness: [[0.8156261  0.18437392]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.4680893338036]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.90235804838314]
Predicted rank: [0], ambiguousness: [[0.64012337 0.35987663]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.95163399813978]
Predicted rank: [0], ambiguousness: [[0.766872   0.23312801]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.92613021761431]
Predicted rank: [0], ambiguousness: [[0.78461087 0.21538915]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.16957658957472]
Predicted rank: [0], ambiguousness: [[0.6942895 0.3057105]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.27874894190006]
Predicted rank: [0], ambiguousness: [[0.7654055  0.23459454]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.32661513542364]
Predicted rank: [0], ambiguousness: [[0.8226482  0.17735177]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.31088361903151]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.23342092768961]
Predicted rank: [0], ambiguousness: [[0.647573   0.35242698]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.37649910939194]
Predicted rank: [0], ambiguousness: [[0.75385416 0.24614587]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.66579470650998]
Predicted rank: [0], ambiguousness: [[0.772307   0.22769302]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.92685076841909]
Predicted rank: [0], ambiguousness: [[0.67234075 0.32765928]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.04153874621535]
Predicted rank: [0], ambiguousness: [[0.7172765 0.2827235]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.09124973007968]
Predicted rank: [0], ambiguousness: [[0.82832956 0.17167045]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.0757336503012]
Predicted rank: [0], ambiguousness: [[0.7168896 0.2831104]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.08300665900329]
Predicted rank: [0], ambiguousness: [[0.8793081  0.12069187]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.24675366800298]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 100.82347893894635]
Predicted rank: [0], ambiguousness: [[0.77961177 0.22038825]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 100.98848633406472]
Predicted rank: [0], ambiguousness: [[0.8396186  0.16038136]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.05521091851615]
Predicted rank: [0], ambiguousness: [[0.87800455 0.12199542]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.04269996106626]
Predicted rank: [0], ambiguousness: [[0.8342273 0.1657727]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.67782552233237]
Predicted rank: [0], ambiguousness: [[0.76996624 0.23003379]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.92288164852499]
Predicted rank: [0], ambiguousness: [[0.78804004 0.21195994]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.99197780130223]
Predicted rank: [0], ambiguousness: [[0.8777695  0.12223056]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.98102452460074]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.09924965410136]
Predicted rank: [0], ambiguousness: [[0.6622535 0.3377465]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 102.22198579024635]
Predicted rank: [0], ambiguousness: [[0.83408195 0.16591804]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 102.21626789042918]
Predicted rank: [0], ambiguousness: [[0.82624185 0.17375812]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 102.28021344215595]
Predicted rank: [0], ambiguousness: [[0.703307   0.29669303]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 102.31128451099603]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 102.31060677830345]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.89570241732184]
Predicted rank: [0], ambiguousness: [[0.67236423 0.3276358 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.13581471216085]
Predicted rank: [0], ambiguousness: [[0.7720903  0.22790965]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.36069766347008]
Predicted rank: [0], ambiguousness: [[0.7962934  0.20370659]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.60965745857902]
Predicted rank: [0], ambiguousness: [[0.6726934  0.32730663]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.71980842699332]
Predicted rank: [0], ambiguousness: [[0.7451471  0.25485286]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.76766116672343]
Predicted rank: [0], ambiguousness: [[0.845642   0.15435803]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.7520881169286]
Predicted rank: [0], ambiguousness: [[0.72729325 0.27270678]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.82602502305573]
Predicted rank: [0], ambiguousness: [[0.8956964  0.10430357]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.02180781415186]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.56964127331028]
Predicted rank: [0], ambiguousness: [[0.7998584 0.2001416]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.72749805924502]
Predicted rank: [0], ambiguousness: [[0.87775487 0.12224513]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.79148582393444]
Predicted rank: [0], ambiguousness: [[0.89844203 0.10155794]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.77876396148238]
Predicted rank: [0], ambiguousness: [[0.8513843  0.14861572]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.37137282337287]
Predicted rank: [0], ambiguousness: [[0.7938251  0.20617492]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.60672848611497]
Predicted rank: [0], ambiguousness: [[0.84397894 0.15602106]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.67325706086493]
Predicted rank: [0], ambiguousness: [[0.90351266 0.09648734]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.6620798583861]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.77354105043594]
Predicted rank: [0], ambiguousness: [[0.74346906 0.25653094]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 102.89218571267966]
Predicted rank: [0], ambiguousness: [[0.8506793  0.14932075]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 102.88612061008732]
Predicted rank: [0], ambiguousness: [[0.84353477 0.15646525]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 102.9473209561204]
Predicted rank: [0], ambiguousness: [[0.7484255  0.25157452]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 102.97711483109745]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 102.97571005146386]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.3533733033212]
Predicted rank: [0], ambiguousness: [[0.74674547 0.25325456]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 102.54541951366846]
Predicted rank: [0], ambiguousness: [[0.77298236 0.22701763]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.788811149196]
Predicted rank: [0], ambiguousness: [[0.67318714 0.32681283]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.89710917958851]
Predicted rank: [0], ambiguousness: [[0.7350445 0.2649555]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.94426929612243]
Predicted rank: [0], ambiguousness: [[0.81258273 0.18741724]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.92863576502756]
Predicted rank: [0], ambiguousness: [[0.7450161 0.2549839]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [99.03513887433265, 101.13696539597342]
Predicted rank: [0], ambiguousness: [[0.77435267 0.2256473 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.306544023431]
Predicted rank: [0], ambiguousness: [[0.76187116 0.23812886]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 100.96591670192008]
Predicted rank: [0], ambiguousness: [[0.78407633 0.2159237 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.14094263140356]
Predicted rank: [0], ambiguousness: [[0.8314637 0.1685363]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.21062408515807]
Predicted rank: [0], ambiguousness: [[0.87717974 0.12282029]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.1987540169172]
Predicted rank: [0], ambiguousness: [[0.7715547  0.22844529]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 102.05424525134785]
Predicted rank: [0], ambiguousness: [[0.79071045 0.20928955]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 102.30298304925421]
Predicted rank: [0], ambiguousness: [[0.79391897 0.20608106]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 102.37231009356094]
Predicted rank: [0], ambiguousness: [[0.8868251  0.11317494]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 102.36155010103431]
Predicted rank: [0], ambiguousness: [[0.82479125 0.17520876]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.48499809381406]
Predicted rank: [0], ambiguousness: [[0.6746967  0.32530332]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 102.60779008333944]
Predicted rank: [0], ambiguousness: [[0.84580564 0.15419436]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 102.60221940980895]
Predicted rank: [0], ambiguousness: [[0.79707366 0.20292634]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 102.66728124028653]
Predicted rank: [0], ambiguousness: [[0.7027283  0.29727176]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 102.69830498929485]
Predicted rank: [0], ambiguousness: [[0.6910848 0.3089152]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 102.69791974545299]
Predicted rank: [0], ambiguousness: [[0.81471556 0.18528445]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 1, 1, 1, 8]
Costs: [99.03513887433265, 100.89475925105558]
Predicted rank: [0], ambiguousness: [[0.87541056 0.12458947]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 2, 0, 1, 1, 8]
Costs: [99.03513887433265, 101.56380939835867]
Predicted rank: [0], ambiguousness: [[0.897027   0.10297297]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 2, 0, 1, 8]
Costs: [99.03513887433265, 101.72780848755175]
Predicted rank: [0], ambiguousness: [[0.9252659  0.07473409]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 2, 0, 8]
Costs: [99.03513887433265, 101.7935553529557]
Predicted rank: [0], ambiguousness: [[0.93953454 0.06046546]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 2, 7]
Costs: [99.03513887433265, 101.78117191070871]
Predicted rank: [0], ambiguousness: [[0.9151635  0.08483649]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 8]
Costs: [99.03513887433265, 100.49880725763143]
Predicted rank: [0], ambiguousness: [[0.6733565  0.32664353]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 8]
Costs: [99.03513887433265, 100.86693555354404]
Predicted rank: [0], ambiguousness: [[0.7643801  0.23561993]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 8]
Costs: [99.03513887433265, 100.96607547822207]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 7]
Costs: [99.03513887433265, 100.96120683484156]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 8]
Costs: [99.03513887433265, 101.33875084157873]
Predicted rank: [0], ambiguousness: [[0.79117674 0.20882328]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 8]
Costs: [99.03513887433265, 101.50240899437607]
Predicted rank: [0], ambiguousness: [[0.90329725 0.09670275]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 2, 7]
Costs: [99.03513887433265, 101.50222493471036]
Predicted rank: [0], ambiguousness: [[0.8840626  0.11593739]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 8]
Costs: [99.03513887433265, 101.60331240805692]
Predicted rank: [0], ambiguousness: [[0.8304497  0.16955028]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 2, 7]
Costs: [99.03513887433265, 101.64551104207649]
Predicted rank: [0], ambiguousness: [[0.85558695 0.14441304]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 1, 7]
Costs: [99.03513887433265, 101.65676278173981]
Predicted rank: [0], ambiguousness: [[0.8881891  0.11181091]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 8]
Costs: [99.03513887433265, 102.10596762276063]
Predicted rank: [0], ambiguousness: [[0.75131696 0.24868304]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 8]
Costs: [99.03513887433265, 102.27951915536646]
Predicted rank: [0], ambiguousness: [[0.88761556 0.11238446]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 2, 7]
Costs: [99.03513887433265, 102.28276751821096]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 8]
Costs: [99.03513887433265, 102.46238035534262]
Predicted rank: [0], ambiguousness: [[0.7830733  0.21692666]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 2, 7]
Costs: [99.03513887433265, 102.50751237193138]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 1, 7]
Costs: [99.03513887433265, 102.5233671150754]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 8]
Costs: [99.03513887433265, 102.60519957424995]
Predicted rank: [0], ambiguousness: [[0.64576113 0.35423887]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 2, 7]
Costs: [99.03513887433265, 102.66183998256047]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 1, 7]
Costs: [99.03513887433265, 102.73114606411556]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 4, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 1, 7]
Costs: [99.03513887433265, 102.7601805563158]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Schedule pairs: [5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [99.03513887433265, 100.68848697786885]
Predicted rank: [1], ambiguousness: [[0.49775743 0.50224257]]
Found better solution: [6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [100.68848697786885, 103.4294138870598]
Predicted rank: [0], ambiguousness: [[0.6124512  0.38754883]]
Schedule pairs: [6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [100.68848697786885, 101.17926438059428]
Predicted rank: [1], ambiguousness: [[0.43253952 0.5674605 ]]
Found better solution: [6, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [6, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [101.17926438059428, 103.90207621100116]
Predicted rank: [0], ambiguousness: [[0.63048697 0.369513  ]]
Schedule pairs: [6, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [101.17926438059428, 101.67669699795084]
Predicted rank: [1], ambiguousness: [[0.44375372 0.5562463 ]]
Found better solution: [6, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [6, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [101.67669699795084, 104.39331311062044]
Predicted rank: [0], ambiguousness: [[0.6445456 0.3554544]]
Schedule pairs: [6, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [101.67669699795084, 102.17616968513212]
Predicted rank: [1], ambiguousness: [[0.47577983 0.52422017]]
Found better solution: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.89123889875547]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.67610693547584]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.9870553555313]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.55928222525989]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.35499973874917]
Predicted rank: [0], ambiguousness: [[0.53319156 0.46680847]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.58217697829181]
Predicted rank: [0], ambiguousness: [[0.6466314  0.35336858]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.22722085316352]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.39977472644065]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.4794662331331]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.51490906677412]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.50187161036348]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.39095347849975]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.23141519713843]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.21724073580972]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.94333186489567]
Predicted rank: [0], ambiguousness: [[0.65836513 0.3416349 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.94003386433221]
Predicted rank: [0], ambiguousness: [[0.7328227  0.26717728]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.81283329216294]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.04064074704299]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.14422038636039]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.18986527215938]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.17399432695544]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.486992605875]
Predicted rank: [0], ambiguousness: [[0.5138555  0.48614448]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.05921947560361]
Predicted rank: [0], ambiguousness: [[0.5831593 0.4168407]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.85493698909288]
Predicted rank: [0], ambiguousness: [[0.51702845 0.48297155]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.08211422863553]
Predicted rank: [0], ambiguousness: [[0.6482321 0.3517679]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.72715810350724]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.89971197678436]
Predicted rank: [0], ambiguousness: [[0.58514446 0.41485554]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.97940348347682]
Predicted rank: [0], ambiguousness: [[0.60340667 0.39659333]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.01484631711784]
Predicted rank: [0], ambiguousness: [[0.72358704 0.27641296]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.00180886070717]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.31020938434534]
Predicted rank: [0], ambiguousness: [[0.54353744 0.45646256]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.25883998374609]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.09466569865035]
Predicted rank: [0], ambiguousness: [[0.52771485 0.47228515]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.30349522616919]
Predicted rank: [0], ambiguousness: [[0.65079075 0.34920925]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.01514673209613]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.19972479640535]
Predicted rank: [0], ambiguousness: [[0.60515755 0.39484245]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.2838904438876]
Predicted rank: [0], ambiguousness: [[0.62310624 0.3768938 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.32116293328633]
Predicted rank: [0], ambiguousness: [[0.7452712 0.2547288]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.30821922311108]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.68945822686693]
Predicted rank: [0], ambiguousness: [[0.56288445 0.43711558]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.94260730057195]
Predicted rank: [0], ambiguousness: [[0.6992645  0.30073547]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.60607148381715]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.78101516852661]
Predicted rank: [0], ambiguousness: [[0.6380752  0.36192483]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.8615313573808]
Predicted rank: [0], ambiguousness: [[0.7063533  0.29364672]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.89729510665072]
Predicted rank: [0], ambiguousness: [[0.7923176 0.2076824]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.884286704589]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.81620022917068]
Predicted rank: [0], ambiguousness: [[0.54464865 0.45535132]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.51394392624664]
Predicted rank: [0], ambiguousness: [[0.6432241  0.35677585]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.38172737217246]
Predicted rank: [0], ambiguousness: [[0.6967566  0.30324337]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.56892472152374]
Predicted rank: [0], ambiguousness: [[0.621194 0.378806]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.65330673825937]
Predicted rank: [0], ambiguousness: [[0.60585576 0.39414424]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.69039214355772]
Predicted rank: [0], ambiguousness: [[0.75203145 0.24796857]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.67754295924347]
Predicted rank: [0], ambiguousness: [[0.7028732  0.29712683]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.93849530053166]
Predicted rank: [0], ambiguousness: [[0.8173654  0.18263456]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.31561157054178]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 101.7290344489215]
Predicted rank: [0], ambiguousness: [[0.7269356 0.2730644]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 101.8501983958206]
Predicted rank: [0], ambiguousness: [[0.77293825 0.22706172]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 101.89972911379999]
Predicted rank: [0], ambiguousness: [[0.82096267 0.1790373 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 101.88912314555404]
Predicted rank: [0], ambiguousness: [[0.8103685  0.18963154]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.31549230373061]
Predicted rank: [0], ambiguousness: [[0.6673378  0.33266225]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.49771840815131]
Predicted rank: [0], ambiguousness: [[0.7301569 0.2698431]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.54972061230299]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.54036227828578]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.17616968513212, 102.62286531932236]
Predicted rank: [0], ambiguousness: [[0.598469   0.40153095]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.17616968513212, 102.71615887174929]
Predicted rank: [0], ambiguousness: [[0.8001343  0.19986568]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.17616968513212, 102.71091388188637]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.17616968513212, 102.7576242457602]
Predicted rank: [0], ambiguousness: [[0.5969584 0.4030416]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.17616968513212, 102.78100822601598]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.17616968513212, 102.7789026076504]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.73112977688271]
Predicted rank: [0], ambiguousness: [[0.6675163 0.3324837]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.716955315554]
Predicted rank: [0], ambiguousness: [[0.7265707  0.27342924]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.44304644463995]
Predicted rank: [0], ambiguousness: [[0.69459033 0.3054097 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.4397484440765]
Predicted rank: [0], ambiguousness: [[0.7659777 0.2340223]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.31254787190721]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.54035532678728]
Predicted rank: [0], ambiguousness: [[0.6923696 0.3076304]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.64393496610467]
Predicted rank: [0], ambiguousness: [[0.75193405 0.24806595]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.68957985190366]
Predicted rank: [0], ambiguousness: [[0.8319682  0.16803178]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.67370890669972]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.39646827117193]
Predicted rank: [0], ambiguousness: [[0.64236784 0.35763213]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.36719793140666]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.16332210546379]
Predicted rank: [0], ambiguousness: [[0.6534024 0.3465976]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.12741904089103]
Predicted rank: [0], ambiguousness: [[0.72701025 0.27298972]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.11379597764987]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.36208930243451]
Predicted rank: [0], ambiguousness: [[0.6493275 0.3506725]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.47329621789956]
Predicted rank: [0], ambiguousness: [[0.71378076 0.2862192 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.52205113389468]
Predicted rank: [0], ambiguousness: [[0.80731475 0.19268523]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.50629918841364]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.19630227464977]
Predicted rank: [0], ambiguousness: [[0.6848027 0.3151973]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.23168649660488]
Predicted rank: [0], ambiguousness: [[0.76866484 0.23133518]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.13238311452838]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.36380038302232]
Predicted rank: [0], ambiguousness: [[0.6805068  0.31949317]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.4686269186154]
Predicted rank: [0], ambiguousness: [[0.7839445  0.21605554]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.5147559210755]
Predicted rank: [0], ambiguousness: [[0.845281   0.15471897]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.49892356471707]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.38872249380914]
Predicted rank: [0], ambiguousness: [[0.65427256 0.34572747]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.6439377780525]
Predicted rank: [0], ambiguousness: [[0.75661445 0.24338554]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.8305937422719]
Predicted rank: [0], ambiguousness: [[0.7761504  0.22384958]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.07902320802023]
Predicted rank: [0], ambiguousness: [[0.6771662  0.32283375]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.18922407200557]
Predicted rank: [0], ambiguousness: [[0.72171414 0.27828586]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.23718281912872]
Predicted rank: [0], ambiguousness: [[0.82105273 0.17894726]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.22155560140106]
Predicted rank: [0], ambiguousness: [[0.7028732  0.29712683]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.24681659854409]
Predicted rank: [0], ambiguousness: [[0.8702675  0.12973249]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.43761359174113]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 103.98718107482746]
Predicted rank: [0], ambiguousness: [[0.7751663  0.22483374]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.14584807952079]
Predicted rank: [0], ambiguousness: [[0.8361291  0.16387087]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.21020509533281]
Predicted rank: [0], ambiguousness: [[0.86711097 0.132889  ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.19745944299858]
Predicted rank: [0], ambiguousness: [[0.8103685  0.18963154]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.78644380554599]
Predicted rank: [0], ambiguousness: [[0.775147   0.22485298]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.02332067658159]
Predicted rank: [0], ambiguousness: [[0.7929233  0.20707673]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.09032505167069]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.07914931486704]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.17616968513212, 105.19126430236466]
Predicted rank: [0], ambiguousness: [[0.6688167  0.33118328]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.17616968513212, 105.31071534654151]
Predicted rank: [0], ambiguousness: [[0.828068   0.17193197]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.17616968513212, 105.30468359594413]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.17616968513212, 105.36629658215696]
Predicted rank: [0], ambiguousness: [[0.70032126 0.29967874]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.17616968513212, 105.3963411654663]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.17616968513212, 105.39501674504109]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.81014663468903]
Predicted rank: [0], ambiguousness: [[0.52741516 0.47258484]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.75877723408979]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.59460294899407]
Predicted rank: [0], ambiguousness: [[0.5115359  0.48846412]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.8034324765129]
Predicted rank: [0], ambiguousness: [[0.65238273 0.34761727]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.51508398243983]
Predicted rank: [0], ambiguousness: [[0.68013126 0.31986874]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.69966204674905]
Predicted rank: [0], ambiguousness: [[0.58956826 0.41043177]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.78382769423132]
Predicted rank: [0], ambiguousness: [[0.6077663  0.39223376]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.82110018363005]
Predicted rank: [0], ambiguousness: [[0.74133205 0.25866792]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.8081564734548]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.18939547721064]
Predicted rank: [0], ambiguousness: [[0.5468758  0.45312423]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.44254455091566]
Predicted rank: [0], ambiguousness: [[0.7007371  0.29926285]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.10600873416085]
Predicted rank: [0], ambiguousness: [[0.73782516 0.26217487]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 103.2809524188703]
Predicted rank: [0], ambiguousness: [[0.62297577 0.37702423]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 103.3614686077245]
Predicted rank: [0], ambiguousness: [[0.6927307  0.30726928]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.39723235699442]
Predicted rank: [0], ambiguousness: [[0.78889984 0.21110015]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.38422395493271]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.3161374795144]
Predicted rank: [0], ambiguousness: [[0.52853155 0.47146845]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.01388117659036]
Predicted rank: [0], ambiguousness: [[0.6448318 0.3551682]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.88166462251618]
Predicted rank: [0], ambiguousness: [[0.68288875 0.31711128]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 103.06886197186745]
Predicted rank: [0], ambiguousness: [[0.6058254 0.3941746]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 103.15324398860307]
Predicted rank: [0], ambiguousness: [[0.59027535 0.40972465]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.19032939390142]
Predicted rank: [0], ambiguousness: [[0.74816144 0.25183854]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.17748020958717]
Predicted rank: [0], ambiguousness: [[0.69663095 0.30336902]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.43843255087535]
Predicted rank: [0], ambiguousness: [[0.82125294 0.17874703]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.81554882088548]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.2289716992652]
Predicted rank: [0], ambiguousness: [[0.72101617 0.27898383]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.35013564616432]
Predicted rank: [0], ambiguousness: [[0.7722212  0.22777876]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.39966636414371]
Predicted rank: [0], ambiguousness: [[0.8283633  0.17163667]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.38906039589773]
Predicted rank: [0], ambiguousness: [[0.816757   0.18324296]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.81542955407431]
Predicted rank: [0], ambiguousness: [[0.65279484 0.34720513]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.997655658495]
Predicted rank: [0], ambiguousness: [[0.7171966  0.28280345]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.0496578626467]
Predicted rank: [0], ambiguousness: [[0.83378977 0.16621025]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.04029952862948]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.17616968513212, 103.12280256966606]
Predicted rank: [0], ambiguousness: [[0.5827977 0.4172023]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.17616968513212, 103.21609612209299]
Predicted rank: [0], ambiguousness: [[0.79681224 0.20318775]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.17616968513212, 103.21085113223008]
Predicted rank: [0], ambiguousness: [[0.8055271  0.19447288]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.17616968513212, 103.2575614961039]
Predicted rank: [0], ambiguousness: [[0.58126926 0.4187307 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.17616968513212, 103.28094547635968]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.17616968513212, 103.2788398579941]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.75410921245134]
Predicted rank: [0], ambiguousness: [[0.5457841  0.45421588]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.5187780773411]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.40209265377352]
Predicted rank: [0], ambiguousness: [[0.53025734 0.46974266]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.61128343764929]
Predicted rank: [0], ambiguousness: [[0.66303563 0.3369644 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.334695638847]
Predicted rank: [0], ambiguousness: [[0.70547986 0.29452017]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.52121657511066]
Predicted rank: [0], ambiguousness: [[0.6180634 0.3819366]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.60608158119206]
Predicted rank: [0], ambiguousness: [[0.6357784  0.36422154]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.64363476600073]
Predicted rank: [0], ambiguousness: [[0.75544804 0.24455197]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.63070998366362]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.27187221170696]
Predicted rank: [0], ambiguousness: [[0.5132079  0.48679206]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.5304431748024]
Predicted rank: [0], ambiguousness: [[0.6853715 0.3146285]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.2784642558913]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.4677876514979]
Predicted rank: [0], ambiguousness: [[0.6527543  0.34724572]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.55359220293347]
Predicted rank: [0], ambiguousness: [[0.6838415  0.31615847]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.59150261249026]
Predicted rank: [0], ambiguousness: [[0.76409924 0.23590073]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.57861650186396]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.54138837223604]
Predicted rank: [0], ambiguousness: [[0.54917145 0.45082852]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.1086609990133]
Predicted rank: [0], ambiguousness: [[0.6269791  0.37302086]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.09309598856507]
Predicted rank: [0], ambiguousness: [[0.6920908 0.3079092]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.29552610901109]
Predicted rank: [0], ambiguousness: [[0.61600626 0.38399377]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.38541907569538]
Predicted rank: [0], ambiguousness: [[0.600593 0.399407]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.4246953629563]
Predicted rank: [0], ambiguousness: [[0.76129895 0.23870105]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.41198144435458]
Predicted rank: [0], ambiguousness: [[0.7168896 0.2831104]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.64350065581735]
Predicted rank: [0], ambiguousness: [[0.82831484 0.17168514]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 100.9866141218065]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 101.43312335510097]
Predicted rank: [0], ambiguousness: [[0.7305436 0.2694564]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 101.56217210373313]
Predicted rank: [0], ambiguousness: [[0.77612567 0.22387436]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 101.61468327977438]
Predicted rank: [0], ambiguousness: [[0.8338915  0.16610847]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 101.60436989444557]
Predicted rank: [0], ambiguousness: [[0.82645583 0.1735442 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.08497049493263]
Predicted rank: [0], ambiguousness: [[0.6713773  0.32862273]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.2774978406888]
Predicted rank: [0], ambiguousness: [[0.733738 0.266262]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.3321854083948]
Predicted rank: [0], ambiguousness: [[0.84863716 0.15136284]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.3231089412107]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.17616968513212, 102.4130640406599]
Predicted rank: [0], ambiguousness: [[0.60284716 0.39715284]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.17616968513212, 102.51059195369939]
Predicted rank: [0], ambiguousness: [[0.81422687 0.18577313]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.17616968513212, 102.50575063340605]
Predicted rank: [0], ambiguousness: [[0.82624185 0.17375812]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.17616968513212, 102.55537987014404]
Predicted rank: [0], ambiguousness: [[0.6117828  0.38821724]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.17616968513212, 102.5801008867194]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.17616968513212, 102.57880901745517]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.13132396540982]
Predicted rank: [0], ambiguousness: [[0.56465983 0.43534017]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.78644690535691]
Predicted rank: [0], ambiguousness: [[0.65025413 0.34974584]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.7084467930256]
Predicted rank: [0], ambiguousness: [[0.7214802 0.2785198]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.90011568674356]
Predicted rank: [0], ambiguousness: [[0.61638486 0.3836151 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.98600755776037]
Predicted rank: [0], ambiguousness: [[0.63409853 0.3659015 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.02365129768899]
Predicted rank: [0], ambiguousness: [[0.7836053  0.21639474]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.01085901448971]
Predicted rank: [0], ambiguousness: [[0.72729325 0.27270678]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.29420639440791]
Predicted rank: [0], ambiguousness: [[0.8504497  0.14955032]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.66472239334821]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.08600086625438]
Predicted rank: [0], ambiguousness: [[0.75387496 0.24612504]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.20885260546494]
Predicted rank: [0], ambiguousness: [[0.82623494 0.17376505]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.25899472779658]
Predicted rank: [0], ambiguousness: [[0.8605453 0.1394547]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.2484680657544]
Predicted rank: [0], ambiguousness: [[0.84426695 0.15573303]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.69101060372914]
Predicted rank: [0], ambiguousness: [[0.7014973  0.29850265]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.87520768507368]
Predicted rank: [0], ambiguousness: [[0.8003776  0.19962242]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.92769084762023]
Predicted rank: [0], ambiguousness: [[0.8796749 0.1203251]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.91839654363443]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.17616968513212, 103.00248717048561]
Predicted rank: [0], ambiguousness: [[0.6916976  0.30830243]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.17616968513212, 103.09652122125749]
Predicted rank: [0], ambiguousness: [[0.8324113  0.16758874]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.17616968513212, 103.09135846337529]
Predicted rank: [0], ambiguousness: [[0.84353477 0.15646525]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.17616968513212, 103.1386309566377]
Predicted rank: [0], ambiguousness: [[0.6641736  0.33582637]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.17616968513212, 103.16224731994933]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.17616968513212, 103.16030639697246]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.94313647065192]
Predicted rank: [0], ambiguousness: [[0.6505433  0.34945673]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.84208120222225]
Predicted rank: [0], ambiguousness: [[0.70640975 0.29359025]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 103.02976531634306]
Predicted rank: [0], ambiguousness: [[0.61912024 0.38087973]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 103.11433375612629]
Predicted rank: [0], ambiguousness: [[0.6368151 0.3631849]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.15148166864034]
Predicted rank: [0], ambiguousness: [[0.7426975  0.25730255]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.13864094355282]
Predicted rank: [0], ambiguousness: [[0.7450161 0.2549839]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.77782116581528]
Predicted rank: [0], ambiguousness: [[0.6648046  0.33519545]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.12942398550203]
Predicted rank: [0], ambiguousness: [[0.6967566  0.30324337]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 101.63341455932735]
Predicted rank: [0], ambiguousness: [[0.749323 0.250677]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 101.76901359555578]
Predicted rank: [0], ambiguousness: [[0.75483465 0.24516538]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 101.82338623004311]
Predicted rank: [0], ambiguousness: [[0.8325145  0.16748546]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 101.81351956243421]
Predicted rank: [0], ambiguousness: [[0.7842253  0.21577471]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.45129398471744]
Predicted rank: [0], ambiguousness: [[0.6861192  0.31388083]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.64543304732247]
Predicted rank: [0], ambiguousness: [[0.7192699  0.28073013]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.70000283971711]
Predicted rank: [0], ambiguousness: [[0.85319453 0.14680547]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.69103249562772]
Predicted rank: [0], ambiguousness: [[0.82531124 0.17468874]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.17616968513212, 102.78406136925315]
Predicted rank: [0], ambiguousness: [[0.5427139 0.4572861]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.17616968513212, 102.88117908217033]
Predicted rank: [0], ambiguousness: [[0.8275773  0.17242269]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.17616968513212, 102.87639687454103]
Predicted rank: [0], ambiguousness: [[0.79765576 0.20234424]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.17616968513212, 102.92653780322868]
Predicted rank: [0], ambiguousness: [[0.598863   0.40113702]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.17616968513212, 102.95107751438672]
Predicted rank: [0], ambiguousness: [[0.69185334 0.30814666]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.17616968513212, 102.94990725813474]
Predicted rank: [0], ambiguousness: [[0.8152588  0.18474121]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 101.56095221968127]
Predicted rank: [0], ambiguousness: [[0.8323606  0.16763939]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 102.07445569881693]
Predicted rank: [0], ambiguousness: [[0.8642279  0.13577208]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 102.2020625374916]
Predicted rank: [0], ambiguousness: [[0.886577   0.11342301]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 102.2535699611212]
Predicted rank: [0], ambiguousness: [[0.9117642  0.08823578]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 102.24330694471765]
Predicted rank: [0], ambiguousness: [[0.91078055 0.08921946]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.17616968513212, 101.2415806202768]
Predicted rank: [0], ambiguousness: [[0.582132 0.417868]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.17616968513212, 101.52782765047888]
Predicted rank: [0], ambiguousness: [[0.69627607 0.30372396]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.17616968513212, 101.60543562038211]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.17616968513212, 101.60109864043815]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.17616968513212, 101.8892633952173]
Predicted rank: [0], ambiguousness: [[0.7363699 0.2636301]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.17616968513212, 102.01793225117952]
Predicted rank: [0], ambiguousness: [[0.8778908  0.12210917]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.17616968513212, 102.01738513323338]
Predicted rank: [0], ambiguousness: [[0.87828654 0.12171347]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.17616968513212, 102.09543582417018]
Predicted rank: [0], ambiguousness: [[0.7561521 0.2438479]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.17616968513212, 102.12864886765647]
Predicted rank: [0], ambiguousness: [[0.84863514 0.15136486]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.17616968513212, 102.1365416105511]
Predicted rank: [0], ambiguousness: [[0.8825913  0.11740871]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.17616968513212, 102.46760045821263]
Predicted rank: [0], ambiguousness: [[0.6218207  0.37817934]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.17616968513212, 102.60472523844167]
Predicted rank: [0], ambiguousness: [[0.8287981 0.1712019]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.17616968513212, 102.60694528505569]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.17616968513212, 102.74690980204281]
Predicted rank: [0], ambiguousness: [[0.7189441  0.28105593]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.17616968513212, 102.78262422302203]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.17616968513212, 102.79434576545464]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.17616968513212, 102.85499219427504]
Predicted rank: [0], ambiguousness: [[0.5743182 0.4256818]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.17616968513212, 102.90002742189165]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.17616968513212, 102.95431980899161]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.17616968513212, 102.97541699941812]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.8961828509162]
Predicted rank: [0], ambiguousness: [[0.67946345 0.32053655]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.86691251115096]
Predicted rank: [0], ambiguousness: [[0.70496154 0.2950385 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.66303668520808]
Predicted rank: [0], ambiguousness: [[0.68990594 0.31009406]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.6271336206353]
Predicted rank: [0], ambiguousness: [[0.76065093 0.23934908]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.61351055739416]
Predicted rank: [0], ambiguousness: [[0.7831856 0.2168144]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.8618038821788]
Predicted rank: [0], ambiguousness: [[0.68605405 0.31394595]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.97301079764385]
Predicted rank: [0], ambiguousness: [[0.74639344 0.25360653]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.02176571363896]
Predicted rank: [0], ambiguousness: [[0.83787245 0.16212757]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.00601376815793]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.69601685439406]
Predicted rank: [0], ambiguousness: [[0.71941936 0.28058067]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.73140107634916]
Predicted rank: [0], ambiguousness: [[0.79859436 0.20140561]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.63209769427266]
Predicted rank: [0], ambiguousness: [[0.82701933 0.17298068]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.8635149627666]
Predicted rank: [0], ambiguousness: [[0.71539915 0.28460082]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.96834149835968]
Predicted rank: [0], ambiguousness: [[0.81068295 0.18931706]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 106.01447050081978]
Predicted rank: [0], ambiguousness: [[0.8707814  0.12921856]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.99863814446135]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.88843707355343]
Predicted rank: [0], ambiguousness: [[0.69072783 0.30927214]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.14365235779678]
Predicted rank: [0], ambiguousness: [[0.7876724 0.2123276]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.3303083220162]
Predicted rank: [0], ambiguousness: [[0.8036118  0.19638819]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.57873778776451]
Predicted rank: [0], ambiguousness: [[0.7122692 0.2877308]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.68893865174985]
Predicted rank: [0], ambiguousness: [[0.75373477 0.24626525]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.736897398873]
Predicted rank: [0], ambiguousness: [[0.849837 0.150163]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.72127018114534]
Predicted rank: [0], ambiguousness: [[0.69663095 0.30336902]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.74653117828838]
Predicted rank: [0], ambiguousness: [[0.890837   0.10916301]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.9373281714854]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.48689565457175]
Predicted rank: [0], ambiguousness: [[0.7986417  0.20135833]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.64556265926508]
Predicted rank: [0], ambiguousness: [[0.8575826  0.14241737]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.70991967507709]
Predicted rank: [0], ambiguousness: [[0.89056975 0.10943025]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.69717402274287]
Predicted rank: [0], ambiguousness: [[0.816757   0.18324296]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.28615838529026]
Predicted rank: [0], ambiguousness: [[0.8027002  0.19729976]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.52303525632587]
Predicted rank: [0], ambiguousness: [[0.8188074  0.18119258]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.59003963141498]
Predicted rank: [0], ambiguousness: [[0.89458555 0.10541444]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.57886389461132]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.17616968513212, 105.69097888210894]
Predicted rank: [0], ambiguousness: [[0.7044313  0.29556873]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.17616968513212, 105.8104299262858]
Predicted rank: [0], ambiguousness: [[0.85592186 0.14407814]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.17616968513212, 105.80439817568842]
Predicted rank: [0], ambiguousness: [[0.8055271  0.19447288]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.17616968513212, 105.86601116190124]
Predicted rank: [0], ambiguousness: [[0.7338958 0.2661042]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.17616968513212, 105.89605574521057]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.17616968513212, 105.89473132478538]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.7760812415629]
Predicted rank: [0], ambiguousness: [[0.64444625 0.35555372]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.41199644546305]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.29829608934637]
Predicted rank: [0], ambiguousness: [[0.6557096  0.34429035]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.26285459104409]
Predicted rank: [0], ambiguousness: [[0.7376598  0.26234016]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.27188945262454]
Predicted rank: [0], ambiguousness: [[0.7636889  0.23631106]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.52392438643535]
Predicted rank: [0], ambiguousness: [[0.6615969 0.3384031]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.63647926054747]
Predicted rank: [0], ambiguousness: [[0.724751 0.275249]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.68577373301736]
Predicted rank: [0], ambiguousness: [[0.8156261  0.18437392]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.67005160173531]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.14709067759068]
Predicted rank: [0], ambiguousness: [[0.64012337 0.35987663]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.19028562550199]
Predicted rank: [0], ambiguousness: [[0.7568631  0.24313687]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.23579987841535]
Predicted rank: [0], ambiguousness: [[0.78461087 0.21538915]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.49179742373968]
Predicted rank: [0], ambiguousness: [[0.6942895 0.3057105]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.60566817413518]
Predicted rank: [0], ambiguousness: [[0.7654055  0.23459454]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.65545765268841]
Predicted rank: [0], ambiguousness: [[0.8226482  0.17735177]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.63978785762055]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.58483959540655]
Predicted rank: [0], ambiguousness: [[0.647573   0.35242698]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 102.61667821032161]
Predicted rank: [0], ambiguousness: [[0.74347335 0.25652665]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.0022445618832]
Predicted rank: [0], ambiguousness: [[0.772307   0.22769302]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.27663328876852]
Predicted rank: [0], ambiguousness: [[0.67234075 0.32765928]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.39623384136152]
Predicted rank: [0], ambiguousness: [[0.7172765 0.2827235]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.4479190257934]
Predicted rank: [0], ambiguousness: [[0.82832956 0.17167045]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.43247596298934]
Predicted rank: [0], ambiguousness: [[0.7168896 0.2831104]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.40665600396204]
Predicted rank: [0], ambiguousness: [[0.87332916 0.12667085]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 102.53899622731483]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 103.14505504165504]
Predicted rank: [0], ambiguousness: [[0.7699858 0.2300142]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 103.31717416453128]
Predicted rank: [0], ambiguousness: [[0.832049   0.16795102]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 103.38660737266179]
Predicted rank: [0], ambiguousness: [[0.8719704  0.12802958]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 103.37430944659424]
Predicted rank: [0], ambiguousness: [[0.82645583 0.1735442 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.0558072928084]
Predicted rank: [0], ambiguousness: [[0.76996624 0.23003379]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.31028892456843]
Predicted rank: [0], ambiguousness: [[0.78804004 0.21195994]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.38186610728171]
Predicted rank: [0], ambiguousness: [[0.8777695  0.12223056]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.37112773021607]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.17616968513212, 104.49595824858747]
Predicted rank: [0], ambiguousness: [[0.6622535 0.3377465]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.17616968513212, 104.62264708003934]
Predicted rank: [0], ambiguousness: [[0.83408195 0.16591804]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.17616968513212, 104.61726255348393]
Predicted rank: [0], ambiguousness: [[0.82624185 0.17375812]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.17616968513212, 104.68386723766977]
Predicted rank: [0], ambiguousness: [[0.703307   0.29669303]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.17616968513212, 104.71616904972245]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.17616968513212, 104.71619237321448]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.61282451074551]
Predicted rank: [0], ambiguousness: [[0.67236423 0.3276358 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.80287159665131]
Predicted rank: [0], ambiguousness: [[0.76223606 0.23776393]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.07181327576758]
Predicted rank: [0], ambiguousness: [[0.7962934  0.20370659]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.32701756871543]
Predicted rank: [0], ambiguousness: [[0.6726934  0.32730663]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.43950940054549]
Predicted rank: [0], ambiguousness: [[0.7451471  0.25485286]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.48831343360453]
Predicted rank: [0], ambiguousness: [[0.845642   0.15435803]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.47276389966498]
Predicted rank: [0], ambiguousness: [[0.72729325 0.27270678]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.53140975985715]
Predicted rank: [0], ambiguousness: [[0.8904281  0.10957187]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.71209427408662]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.27357024123202]
Predicted rank: [0], ambiguousness: [[0.7908796  0.20912042]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.43479280713287]
Predicted rank: [0], ambiguousness: [[0.8717101  0.12828988]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.50007451838307]
Predicted rank: [0], ambiguousness: [[0.89329594 0.10670407]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.4874412057795]
Predicted rank: [0], ambiguousness: [[0.84426695 0.15573303]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.10093349031543]
Predicted rank: [0], ambiguousness: [[0.7938251  0.20617492]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.34079718901663]
Predicted rank: [0], ambiguousness: [[0.84397894 0.15602106]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.40852822797797]
Predicted rank: [0], ambiguousness: [[0.90351266 0.09648734]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.39744355617992]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.17616968513212, 105.51195838078789]
Predicted rank: [0], ambiguousness: [[0.74346906 0.25653094]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.17616968513212, 105.63253205026109]
Predicted rank: [0], ambiguousness: [[0.8506793  0.14932075]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.17616968513212, 105.62661924334083]
Predicted rank: [0], ambiguousness: [[0.84353477 0.15646525]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.17616968513212, 105.68908412580923]
Predicted rank: [0], ambiguousness: [[0.7484255  0.25157452]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.17616968513212, 105.71947733576997]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.17616968513212, 105.71839675973814]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 104.042862154245]
Predicted rank: [0], ambiguousness: [[0.7361697  0.26383027]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 105.27475849663065]
Predicted rank: [0], ambiguousness: [[0.77298236 0.22701763]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 105.52389060990194]
Predicted rank: [0], ambiguousness: [[0.67318714 0.32681283]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.63436161930737]
Predicted rank: [0], ambiguousness: [[0.7350445 0.2649555]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.68241087500336]
Predicted rank: [0], ambiguousness: [[0.81258273 0.18741724]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.66679521773457]
Predicted rank: [0], ambiguousness: [[0.7450161 0.2549839]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.82098019437743]
Predicted rank: [0], ambiguousness: [[0.7737487  0.22625132]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 102.97485915579131]
Predicted rank: [0], ambiguousness: [[0.7761504  0.22384958]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 103.65229238758906]
Predicted rank: [0], ambiguousness: [[0.7962358  0.20376423]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 103.83134084352048]
Predicted rank: [0], ambiguousness: [[0.8414941  0.15850592]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 103.9025312320783]
Predicted rank: [0], ambiguousness: [[0.88486606 0.11513393]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 103.89078274866715]
Predicted rank: [0], ambiguousness: [[0.7842253  0.21577471]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.77770760187269]
Predicted rank: [0], ambiguousness: [[0.791306   0.20869398]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.17616968513212, 105.0314323764913]
Predicted rank: [0], ambiguousness: [[0.79450774 0.20549226]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.17616968513212, 105.1020582246702]
Predicted rank: [0], ambiguousness: [[0.88718617 0.11281385]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.17616968513212, 105.09140569625144]
Predicted rank: [0], ambiguousness: [[0.82531124 0.17468874]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.17616968513212, 105.21834368013216]
Predicted rank: [0], ambiguousness: [[0.6754869 0.3245131]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.17616968513212, 105.34320595303323]
Predicted rank: [0], ambiguousness: [[0.8462749  0.15372509]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.17616968513212, 105.33780491048533]
Predicted rank: [0], ambiguousness: [[0.79765576 0.20234424]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.17616968513212, 105.40427001693782]
Predicted rank: [0], ambiguousness: [[0.70348024 0.29651973]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.17616968513212, 105.43593437140527]
Predicted rank: [0], ambiguousness: [[0.69185334 0.30814666]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.17616968513212, 105.4359091644009]
Predicted rank: [0], ambiguousness: [[0.8152588  0.18474121]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.17616968513212, 103.59334790364235]
Predicted rank: [0], ambiguousness: [[0.87541056 0.12458947]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.17616968513212, 104.27911767551568]
Predicted rank: [0], ambiguousness: [[0.8918178  0.10818219]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.17616968513212, 104.4465369802119]
Predicted rank: [0], ambiguousness: [[0.92136    0.07863998]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.17616968513212, 104.51358451561441]
Predicted rank: [0], ambiguousness: [[0.93632305 0.06367693]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.17616968513212, 104.50129408549414]
Predicted rank: [0], ambiguousness: [[0.91078055 0.08921946]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.17616968513212, 103.1943190977052]
Predicted rank: [0], ambiguousness: [[0.6733565  0.32664353]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.17616968513212, 103.57006792111011]
Predicted rank: [0], ambiguousness: [[0.7643801  0.23561993]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.17616968513212, 103.67116248834782]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.17616968513212, 103.6665348769518]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.17616968513212, 104.05374550233412]
Predicted rank: [0], ambiguousness: [[0.7819146  0.21808538]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.17616968513212, 104.2203446451183]
Predicted rank: [0], ambiguousness: [[0.8983693 0.1016307]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.17616968513212, 104.22044671114071]
Predicted rank: [0], ambiguousness: [[0.87828654 0.12171347]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.17616968513212, 104.32370936049938]
Predicted rank: [0], ambiguousness: [[0.8225388  0.17746122]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.17616968513212, 104.36678399991526]
Predicted rank: [0], ambiguousness: [[0.84863514 0.15136486]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.17616968513212, 104.37864806263202]
Predicted rank: [0], ambiguousness: [[0.8825913  0.11740871]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.17616968513212, 104.84471043408827]
Predicted rank: [0], ambiguousness: [[0.75131696 0.24868304]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.17616968513212, 105.02111475548074]
Predicted rank: [0], ambiguousness: [[0.88761556 0.11238446]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.17616968513212, 105.0246718203011]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.17616968513212, 105.20769468190741]
Predicted rank: [0], ambiguousness: [[0.7830733  0.21692666]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.17616968513212, 105.25366616876133]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.17616968513212, 105.27012722442603]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.17616968513212, 105.35442068145733]
Predicted rank: [0], ambiguousness: [[0.64576113 0.35423887]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.17616968513212, 105.41202459209829]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.17616968513212, 105.48267263971086]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 5, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.17616968513212, 105.51279864972946]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.25404646279505]
Predicted rank: [0], ambiguousness: [[0.52967244 0.47032756]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 103.0187153276848]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.90202990411723]
Predicted rank: [0], ambiguousness: [[0.5140853 0.4859147]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.11122068799301]
Predicted rank: [0], ambiguousness: [[0.6646005  0.33539948]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.83463288919071]
Predicted rank: [0], ambiguousness: [[0.69183445 0.30816558]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.17616968513212, 103.02115382545438]
Predicted rank: [0], ambiguousness: [[0.60264903 0.39735097]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.17616968513212, 103.10601883153578]
Predicted rank: [0], ambiguousness: [[0.6206403  0.37935975]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.17616968513212, 103.14357201634445]
Predicted rank: [0], ambiguousness: [[0.75161386 0.24838614]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.17616968513212, 103.13064723400733]
Predicted rank: [0], ambiguousness: [[0.7554826  0.24451739]]
Schedule pairs: [6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.17616968513212, 102.77180946205068]
Predicted rank: [1], ambiguousness: [[0.4970057 0.5029943]]
Found better solution: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.64680525733496]
Predicted rank: [0], ambiguousness: [[0.6987488 0.3012512]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.98918332892578]
Predicted rank: [0], ambiguousness: [[0.53424686 0.46575314]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.21845164089596]
Predicted rank: [0], ambiguousness: [[0.54018366 0.45981634]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.18253559873492]
Predicted rank: [0], ambiguousness: [[0.5312747 0.4687253]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.66460297691384]
Predicted rank: [0], ambiguousness: [[0.66455615 0.33544385]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.75501604483877]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.96623640293494]
Predicted rank: [0], ambiguousness: [[0.6106374  0.38936254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.05909971862027]
Predicted rank: [0], ambiguousness: [[0.606868 0.393132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.09947532127785]
Predicted rank: [0], ambiguousness: [[0.78296214 0.21703784]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.08687312617661]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.6100032905383]
Predicted rank: [0], ambiguousness: [[0.6987488 0.3012512]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.05782796031455]
Predicted rank: [0], ambiguousness: [[0.70375144 0.29624853]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.01116306743506]
Predicted rank: [0], ambiguousness: [[0.7005683  0.29943168]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.90296152441289]
Predicted rank: [0], ambiguousness: [[0.79393923 0.2060608 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.46092440314317]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.74960190489776]
Predicted rank: [0], ambiguousness: [[0.7235409  0.27645907]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.8740386422898]
Predicted rank: [0], ambiguousness: [[0.7573693  0.24263072]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.92750992671036]
Predicted rank: [0], ambiguousness: [[0.8673953  0.13260475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.91223037979877]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.41310591667485]
Predicted rank: [0], ambiguousness: [[0.53424686 0.46575314]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.39201745303698]
Predicted rank: [0], ambiguousness: [[0.54018366 0.45981634]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.38307995082724]
Predicted rank: [0], ambiguousness: [[0.5312747 0.4687253]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.82129089701704]
Predicted rank: [0], ambiguousness: [[0.66455615 0.33544385]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.96358201197789]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.17978873723959]
Predicted rank: [0], ambiguousness: [[0.6106374  0.38936254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.27436467500027]
Predicted rank: [0], ambiguousness: [[0.606868 0.393132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.31538926248194]
Predicted rank: [0], ambiguousness: [[0.78296214 0.21703784]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.30284504599913]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.615274070298]
Predicted rank: [0], ambiguousness: [[0.54194933 0.45805067]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.09886378856511]
Predicted rank: [0], ambiguousness: [[0.6698584 0.3301416]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.20049463800885]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.41240475541939]
Predicted rank: [0], ambiguousness: [[0.61629987 0.38370013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.50549777815277]
Predicted rank: [0], ambiguousness: [[0.6125505  0.38744953]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.5459541381832]
Predicted rank: [0], ambiguousness: [[0.79886556 0.20113444]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.53336120269365]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.65954401401773]
Predicted rank: [0], ambiguousness: [[0.5916118 0.4083882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.00217303141656]
Predicted rank: [0], ambiguousness: [[0.6873561  0.31264392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.16382667634096]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.37614809269266]
Predicted rank: [0], ambiguousness: [[0.61490834 0.3850917 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.46943331863288]
Predicted rank: [0], ambiguousness: [[0.6053115 0.3946885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.50995038268528]
Predicted rank: [0], ambiguousness: [[0.7641418  0.23585817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.49736732279632]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.84364202233299]
Predicted rank: [0], ambiguousness: [[0.66852856 0.33147144]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.14572099086745]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.74570757871079]
Predicted rank: [0], ambiguousness: [[0.7422432 0.2577568]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.9000892844921]
Predicted rank: [0], ambiguousness: [[0.7833127  0.21668729]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.96118067444425]
Predicted rank: [0], ambiguousness: [[0.8609811 0.1390189]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.95215273958362]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.7901029736373]
Predicted rank: [0], ambiguousness: [[0.6685039 0.3314961]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.00449838717775]
Predicted rank: [0], ambiguousness: [[0.7171031  0.28289685]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.06399369918903]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.05562735175853]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.1644415338864]
Predicted rank: [0], ambiguousness: [[0.6060324  0.39396763]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.26918621397951]
Predicted rank: [0], ambiguousness: [[0.8446475  0.15535247]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.26520398882568]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.32112527366081]
Predicted rank: [0], ambiguousness: [[0.5998813 0.4001187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.34803832119539]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.34848482501972]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.94648994442957]
Predicted rank: [0], ambiguousness: [[0.6987488 0.3012512]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.93674789266981]
Predicted rank: [0], ambiguousness: [[0.70375144 0.29624853]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.94280380917232]
Predicted rank: [0], ambiguousness: [[0.7005683  0.29943168]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.74854308617893]
Predicted rank: [0], ambiguousness: [[0.79393923 0.2060608 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.40703451852649]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.70536409538104]
Predicted rank: [0], ambiguousness: [[0.7235409  0.27645907]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.83312040899602]
Predicted rank: [0], ambiguousness: [[0.7573693  0.24263072]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.8878465465626]
Predicted rank: [0], ambiguousness: [[0.8673953  0.13260475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.87266559847947]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.39914572090433]
Predicted rank: [0], ambiguousness: [[0.699559 0.300441]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.29285878643934]
Predicted rank: [0], ambiguousness: [[0.79781854 0.20218149]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.86996102785247]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.15981308377985]
Predicted rank: [0], ambiguousness: [[0.728292   0.27170798]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.2846419371112]
Predicted rank: [0], ambiguousness: [[0.76173043 0.23826957]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.33825080441045]
Predicted rank: [0], ambiguousness: [[0.87807524 0.12192475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.32298576969157]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.4750944864499]
Predicted rank: [0], ambiguousness: [[0.74032116 0.25967884]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.15265026989636]
Predicted rank: [0], ambiguousness: [[0.80182123 0.1981788 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.82228593889235]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.11268054815619]
Predicted rank: [0], ambiguousness: [[0.7252696  0.27473038]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.23777777960325]
Predicted rank: [0], ambiguousness: [[0.7599471 0.2400529]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.29147034327342]
Predicted rank: [0], ambiguousness: [[0.8639284  0.13607161]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.27621904562142]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.9402539736057]
Predicted rank: [0], ambiguousness: [[0.7968478  0.20315221]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.00870530030032]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.8467647193321]
Predicted rank: [0], ambiguousness: [[0.8221217 0.1778783]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.05727728030459]
Predicted rank: [0], ambiguousness: [[0.8754736  0.12452637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.13971676502612]
Predicted rank: [0], ambiguousness: [[0.9152582  0.08474175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.12927412453796]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.34989937779197]
Predicted rank: [0], ambiguousness: [[0.8202653  0.17973469]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.6376842851679]
Predicted rank: [0], ambiguousness: [[0.8209355 0.1790645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.71657373543502]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.70686350700642]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.86025092741022]
Predicted rank: [0], ambiguousness: [[0.72705966 0.27294034]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.99795772386287]
Predicted rank: [0], ambiguousness: [[0.890542   0.10945804]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.99383285653403]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.07001995512556]
Predicted rank: [0], ambiguousness: [[0.740632 0.259368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.10563700821405]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.10826055382017]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.88805350771491]
Predicted rank: [0], ambiguousness: [[0.53424686 0.46575314]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.79220980845895]
Predicted rank: [0], ambiguousness: [[0.54018366 0.45981634]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.80375563672243]
Predicted rank: [0], ambiguousness: [[0.5312747 0.4687253]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.2368458478054]
Predicted rank: [0], ambiguousness: [[0.66455615 0.33544385]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.38645158980776]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.60326649031069]
Predicted rank: [0], ambiguousness: [[0.6106374  0.38936254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.6980475598929]
Predicted rank: [0], ambiguousness: [[0.606868 0.393132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.7391480358625]
Predicted rank: [0], ambiguousness: [[0.78296214 0.21703784]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.72661145411483]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.76048364365293]
Predicted rank: [0], ambiguousness: [[0.54194933 0.45805067]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.20106393429657]
Predicted rank: [0], ambiguousness: [[0.6698584 0.3301416]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.36424164313692]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.58173743652364]
Predicted rank: [0], ambiguousness: [[0.61629987 0.38370013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.67674243336236]
Predicted rank: [0], ambiguousness: [[0.6125505  0.38744953]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.71791791801941]
Predicted rank: [0], ambiguousness: [[0.79886556 0.20113444]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.70539099201366]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.85237431048266]
Predicted rank: [0], ambiguousness: [[0.5916118 0.4083882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.1287450582065]
Predicted rank: [0], ambiguousness: [[0.6873561  0.31264392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.35524075894116]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.57273347418874]
Predicted rank: [0], ambiguousness: [[0.61490834 0.3850917 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.66780254714803]
Predicted rank: [0], ambiguousness: [[0.6053115 0.3946885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.70899249972555]
Predicted rank: [0], ambiguousness: [[0.7641418  0.23585817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.69647064830572]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.97976779921322]
Predicted rank: [0], ambiguousness: [[0.66852856 0.33147144]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.27254266421482]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.89426707139872]
Predicted rank: [0], ambiguousness: [[0.7422432 0.2577568]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.05271550621438]
Predicted rank: [0], ambiguousness: [[0.7833127  0.21668729]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.11523753112758]
Predicted rank: [0], ambiguousness: [[0.8609811 0.1390189]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.10640251953251]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.99175940543265]
Predicted rank: [0], ambiguousness: [[0.6685039 0.3314961]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.21030561348387]
Predicted rank: [0], ambiguousness: [[0.7171031  0.28289685]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.2707818133388]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.26254572088237]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.37472106849415]
Predicted rank: [0], ambiguousness: [[0.6060324  0.39396763]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.48096934406436]
Predicted rank: [0], ambiguousness: [[0.8446475  0.15535247]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.47715353279946]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.53426325825447]
Predicted rank: [0], ambiguousness: [[0.5998813 0.4001187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.5616424277905]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.56242410120036]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.08151465769298]
Predicted rank: [0], ambiguousness: [[0.5954143  0.40458575]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.4129754496936]
Predicted rank: [0], ambiguousness: [[0.69650674 0.30349323]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.59520050091535]
Predicted rank: [0], ambiguousness: [[0.7131635 0.2868365]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.80832661117643]
Predicted rank: [0], ambiguousness: [[0.62502265 0.37497735]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.90188620387914]
Predicted rank: [0], ambiguousness: [[0.61552024 0.38447973]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.94249904137232]
Predicted rank: [0], ambiguousness: [[0.78427917 0.21572082]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.92992727781868]
Predicted rank: [0], ambiguousness: [[0.7561627  0.24383728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.27206398902183]
Predicted rank: [0], ambiguousness: [[0.6737988  0.32620117]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.57426406435698]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.17861129657805]
Predicted rank: [0], ambiguousness: [[0.74678534 0.25321466]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.33370763724386]
Predicted rank: [0], ambiguousness: [[0.7873385  0.21266153]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.39503942750399]
Predicted rank: [0], ambiguousness: [[0.87210155 0.12789847]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.38604830678398]
Predicted rank: [0], ambiguousness: [[0.817377   0.18262301]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.2346690025989]
Predicted rank: [0], ambiguousness: [[0.67377436 0.3262256 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.44964647992697]
Predicted rank: [0], ambiguousness: [[0.7219223 0.2780777]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.50926695439682]
Predicted rank: [0], ambiguousness: [[0.88387233 0.11612768]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.50091943356458]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.610219665415]
Predicted rank: [0], ambiguousness: [[0.6117192 0.3882808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.71515287262137]
Predicted rank: [0], ambiguousness: [[0.8568573 0.1431427]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.71119336431246]
Predicted rank: [0], ambiguousness: [[0.80861187 0.19138812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.76728270620117]
Predicted rank: [0], ambiguousness: [[0.61599964 0.38400036]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.79425232371489]
Predicted rank: [0], ambiguousness: [[0.71646106 0.2835389 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.79474523425864]
Predicted rank: [0], ambiguousness: [[0.8383372  0.16166285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.47696568964273]
Predicted rank: [0], ambiguousness: [[0.7295089  0.27049115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.64083509162379]
Predicted rank: [0], ambiguousness: [[0.7527323 0.2472677]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.85315650797548]
Predicted rank: [0], ambiguousness: [[0.63946885 0.36053115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.94644173391569]
Predicted rank: [0], ambiguousness: [[0.6714703  0.32852975]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.9869587979681]
Predicted rank: [0], ambiguousness: [[0.8056549  0.19434515]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.97437573807915]
Predicted rank: [0], ambiguousness: [[0.77628374 0.22371629]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.11418524232592]
Predicted rank: [0], ambiguousness: [[0.6825334  0.31746665]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.45154028305384]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.07719846431432]
Predicted rank: [0], ambiguousness: [[0.75322396 0.24677606]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.23491603416602]
Predicted rank: [0], ambiguousness: [[0.8013288  0.19867125]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.29709224348352]
Predicted rank: [0], ambiguousness: [[0.86200404 0.13799599]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.2882465838799]
Predicted rank: [0], ambiguousness: [[0.8367599  0.16324009]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.19727109048785]
Predicted rank: [0], ambiguousness: [[0.67248046 0.3275195 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.41277169013264]
Predicted rank: [0], ambiguousness: [[0.7157787 0.2842213]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.4724838909456]
Predicted rank: [0], ambiguousness: [[0.8612757  0.13872433]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.46415277068687]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.57369680135467]
Predicted rank: [0], ambiguousness: [[0.61261845 0.38738158]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.67878068791218]
Predicted rank: [0], ambiguousness: [[0.8341974  0.16580263]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.67484103661108]
Predicted rank: [0], ambiguousness: [[0.81615794 0.18384208]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.7310830243993]
Predicted rank: [0], ambiguousness: [[0.5832071  0.41679293]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.75809190485508]
Predicted rank: [0], ambiguousness: [[0.72151136 0.27848864]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.75862926110284]
Predicted rank: [0], ambiguousness: [[0.82801384 0.17198618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.30109072524999]
Predicted rank: [0], ambiguousness: [[0.70524335 0.29475662]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.07799914056889]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.90026529350192]
Predicted rank: [0], ambiguousness: [[0.73786306 0.2621369 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.06912923435686]
Predicted rank: [0], ambiguousness: [[0.7841003  0.21589969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.13465595147923]
Predicted rank: [0], ambiguousness: [[0.86310655 0.13689344]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.12639575035016]
Predicted rank: [0], ambiguousness: [[0.8025983  0.19740172]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 100.92750153660427]
Predicted rank: [0], ambiguousness: [[0.5834104 0.4165896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.30698339192858]
Predicted rank: [0], ambiguousness: [[0.6948639  0.30513608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.40546717967007]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.40476240935514]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 101.85144114868058]
Predicted rank: [0], ambiguousness: [[0.74389803 0.25610194]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.00827144205927]
Predicted rank: [0], ambiguousness: [[0.90655816 0.09344182]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.01120767132839]
Predicted rank: [0], ambiguousness: [[0.87076825 0.12923175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.113810513324]
Predicted rank: [0], ambiguousness: [[0.77804255 0.22195746]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.15514697200283]
Predicted rank: [0], ambiguousness: [[0.83712226 0.16287775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.17031044161162]
Predicted rank: [0], ambiguousness: [[0.90244085 0.09755918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.9051112078584]
Predicted rank: [0], ambiguousness: [[0.62879705 0.37120298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.06151496732497]
Predicted rank: [0], ambiguousness: [[0.8638024  0.13619764]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.0662319929543]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.23317468250828]
Predicted rank: [0], ambiguousness: [[0.7300861  0.26991388]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.27428712410595]
Predicted rank: [0], ambiguousness: [[0.80077326 0.19922672]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.29071888608426]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.37543448813068]
Predicted rank: [0], ambiguousness: [[0.5971405 0.4028595]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.4263815886811]
Predicted rank: [0], ambiguousness: [[0.7486212  0.25137874]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.48964408321999]
Predicted rank: [0], ambiguousness: [[0.8737817  0.12621829]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.52011838425913]
Predicted rank: [0], ambiguousness: [[0.60083497 0.39916503]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.38522104358582]
Predicted rank: [0], ambiguousness: [[0.6987488 0.3012512]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.22235242632087]
Predicted rank: [0], ambiguousness: [[0.70375144 0.29624853]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.2723704165594]
Predicted rank: [0], ambiguousness: [[0.7005683  0.29943168]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.06664745533988]
Predicted rank: [0], ambiguousness: [[0.79393923 0.2060608 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.74120520110584]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.04086934759462]
Predicted rank: [0], ambiguousness: [[0.7235409  0.27645907]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.1690765279037]
Predicted rank: [0], ambiguousness: [[0.7573693  0.24263072]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.22396910429988]
Predicted rank: [0], ambiguousness: [[0.8673953  0.13260475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.20880321588405]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.22445793415493]
Predicted rank: [0], ambiguousness: [[0.699559 0.300441]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.0330285746956]
Predicted rank: [0], ambiguousness: [[0.79781854 0.20218149]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.72978977947005]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.03047874213539]
Predicted rank: [0], ambiguousness: [[0.728292   0.27170798]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.1590221930639]
Predicted rank: [0], ambiguousness: [[0.76173043 0.23826957]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.21402463934177]
Predicted rank: [0], ambiguousness: [[0.87807524 0.12192475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.1988728071018]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.39235203694085]
Predicted rank: [0], ambiguousness: [[0.74032116 0.25967884]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.94089952772234]
Predicted rank: [0], ambiguousness: [[0.80182123 0.1981788 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 104.73621205113727]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.03661720020986]
Predicted rank: [0], ambiguousness: [[0.7252696  0.27473038]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.16517256620958]
Predicted rank: [0], ambiguousness: [[0.7599471 0.2400529]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.22016644753722]
Predicted rank: [0], ambiguousness: [[0.8639284  0.13607161]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.20501967545653]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.7463266854692]
Predicted rank: [0], ambiguousness: [[0.7968478  0.20315221]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.79626365739901]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.67652287309991]
Predicted rank: [0], ambiguousness: [[0.8221217 0.1778783]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.89492514058347]
Predicted rank: [0], ambiguousness: [[0.8754736  0.12452637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.98013745106527]
Predicted rank: [0], ambiguousness: [[0.9152582  0.08474175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.97004702972089]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.28256179539234]
Predicted rank: [0], ambiguousness: [[0.8202653  0.17973469]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.5784100262309]
Predicted rank: [0], ambiguousness: [[0.8209355 0.1790645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.6591990238067]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.64972637602125]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.80962405846952]
Predicted rank: [0], ambiguousness: [[0.72705966 0.27294034]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.95025254349432]
Predicted rank: [0], ambiguousness: [[0.890542   0.10945804]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.94643627071301]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.02493252129172]
Predicted rank: [0], ambiguousness: [[0.740632 0.259368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.0614456774108]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.06470559381796]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.8449931882117]
Predicted rank: [0], ambiguousness: [[0.74333966 0.25666034]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.50309065432525]
Predicted rank: [0], ambiguousness: [[0.80105627 0.19894376]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.20793627578229]
Predicted rank: [0], ambiguousness: [[0.81400096 0.185999  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.49970277251771]
Predicted rank: [0], ambiguousness: [[0.72431076 0.27568924]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.6252690788552]
Predicted rank: [0], ambiguousness: [[0.7590691  0.24093089]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.67912508223898]
Predicted rank: [0], ambiguousness: [[0.8716725  0.12832749]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.66389160948373]
Predicted rank: [0], ambiguousness: [[0.7561627  0.24383728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.32025803323009]
Predicted rank: [0], ambiguousness: [[0.80068606 0.19931392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.38882190912723]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.2343358186543]
Predicted rank: [0], ambiguousness: [[0.825587   0.17441303]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.44606946513372]
Predicted rank: [0], ambiguousness: [[0.8780538  0.12194625]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.5289195269549]
Predicted rank: [0], ambiguousness: [[0.9224281  0.07757191]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.51853700251576]
Predicted rank: [0], ambiguousness: [[0.817377   0.18262301]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.75737271878762]
Predicted rank: [0], ambiguousness: [[0.82375896 0.17624101]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.04615315129941]
Predicted rank: [0], ambiguousness: [[0.82441896 0.17558102]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.12525609960062]
Predicted rank: [0], ambiguousness: [[0.9250584  0.07494159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.11557657435247]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.26979155262006]
Predicted rank: [0], ambiguousness: [[0.73177266 0.26822734]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.40782096959452]
Predicted rank: [0], ambiguousness: [[0.89957356 0.10042644]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.40373355543616]
Predicted rank: [0], ambiguousness: [[0.80861187 0.19138812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.48020809034756]
Predicted rank: [0], ambiguousness: [[0.75341105 0.24658893]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.51592102308268]
Predicted rank: [0], ambiguousness: [[0.71646106 0.2835389 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.51862256396493]
Predicted rank: [0], ambiguousness: [[0.8383372  0.16166285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.61299956329078]
Predicted rank: [0], ambiguousness: [[0.8255372  0.17446278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.28621735790716]
Predicted rank: [0], ambiguousness: [[0.84272707 0.15727296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.57661196717103]
Predicted rank: [0], ambiguousness: [[0.7365442 0.2634558]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.70170919861809]
Predicted rank: [0], ambiguousness: [[0.8008871  0.19911286]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.75540176228824]
Predicted rank: [0], ambiguousness: [[0.88565105 0.11434896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.74015046463626]
Predicted rank: [0], ambiguousness: [[0.77628374 0.22371629]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.08591726759545]
Predicted rank: [0], ambiguousness: [[0.7982459  0.20175411]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.20845366622689]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.08687689070373]
Predicted rank: [0], ambiguousness: [[0.82915765 0.17084233]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.30262862818998]
Predicted rank: [0], ambiguousness: [[0.8812738  0.11872617]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.38677197343337]
Predicted rank: [0], ambiguousness: [[0.91606206 0.08393795]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.37660576946192]
Predicted rank: [0], ambiguousness: [[0.8367599  0.16324009]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.70868125540059]
Predicted rank: [0], ambiguousness: [[0.8215383  0.17846169]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.99819912270749]
Predicted rank: [0], ambiguousness: [[0.82299584 0.17700417]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.07742811171482]
Predicted rank: [0], ambiguousness: [[0.91584045 0.08415955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.0677711173481]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.2222949043676]
Predicted rank: [0], ambiguousness: [[0.7365322  0.26346782]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.36053435475657]
Predicted rank: [0], ambiguousness: [[0.88760185 0.11239817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.35647439000752]
Predicted rank: [0], ambiguousness: [[0.81615794 0.18384208]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.43316417054729]
Predicted rank: [0], ambiguousness: [[0.7422918  0.25770816]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.46893048761328]
Predicted rank: [0], ambiguousness: [[0.72151136 0.27848864]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.4716947631342]
Predicted rank: [0], ambiguousness: [[0.82801384 0.17198618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.37844465984566]
Predicted rank: [0], ambiguousness: [[0.82311034 0.17688969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.68614476468895]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.84829408322284]
Predicted rank: [0], ambiguousness: [[0.81876755 0.18123245]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.07990233021783]
Predicted rank: [0], ambiguousness: [[0.8759793  0.12402068]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.16881421275721]
Predicted rank: [0], ambiguousness: [[0.9166342  0.08336579]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.15946380493344]
Predicted rank: [0], ambiguousness: [[0.8025983  0.19740172]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.54008325732902]
Predicted rank: [0], ambiguousness: [[0.7318336  0.26816645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.06090589337418]
Predicted rank: [0], ambiguousness: [[0.804635   0.19536501]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.19455495014805]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.19539048233132]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.82723153184509]
Predicted rank: [0], ambiguousness: [[0.82870054 0.17129944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.03802815795706]
Predicted rank: [0], ambiguousness: [[0.93316835 0.06683167]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.0434146792299]
Predicted rank: [0], ambiguousness: [[0.87076825 0.12923175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.18496814672828]
Predicted rank: [0], ambiguousness: [[0.8652512  0.13474882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.24071220520015]
Predicted rank: [0], ambiguousness: [[0.83712226 0.16287775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.26377523943638]
Predicted rank: [0], ambiguousness: [[0.90244085 0.09755918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.34877108125445]
Predicted rank: [0], ambiguousness: [[0.7991143 0.2008857]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.55583965245992]
Predicted rank: [0], ambiguousness: [[0.92790335 0.07209662]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.563245593577]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 104.78894614828727]
Predicted rank: [0], ambiguousness: [[0.8216786 0.1783214]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 104.84345971977511]
Predicted rank: [0], ambiguousness: [[0.80077326 0.19922672]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 104.8672792359684]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 104.98926541493265]
Predicted rank: [0], ambiguousness: [[0.70740134 0.29259866]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.05625153167159]
Predicted rank: [0], ambiguousness: [[0.7486212  0.25137874]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.1411134429145]
Predicted rank: [0], ambiguousness: [[0.8737817  0.12621829]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.18592334465944]
Predicted rank: [0], ambiguousness: [[0.60083497 0.39916503]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.37874324332577]
Predicted rank: [0], ambiguousness: [[0.52274626 0.47725374]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.26273804550041]
Predicted rank: [0], ambiguousness: [[0.54018366 0.45981634]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.27853410528633]
Predicted rank: [0], ambiguousness: [[0.5312747 0.4687253]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.71149260136264]
Predicted rank: [0], ambiguousness: [[0.66455615 0.33544385]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.8613649199286]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.078199856638]
Predicted rank: [0], ambiguousness: [[0.6106374  0.38936254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.17298759719046]
Predicted rank: [0], ambiguousness: [[0.606868 0.393132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.21409050333506]
Predicted rank: [0], ambiguousness: [[0.78296214 0.21703784]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.2015541818302]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.15145641532641]
Predicted rank: [0], ambiguousness: [[0.54194933 0.45805067]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.58815979713384]
Predicted rank: [0], ambiguousness: [[0.6698584 0.3301416]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.76294966580548]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.98130936765953]
Predicted rank: [0], ambiguousness: [[0.61629987 0.38370013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.07660499523493]
Predicted rank: [0], ambiguousness: [[0.6125505  0.38744953]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.11788630968665]
Predicted rank: [0], ambiguousness: [[0.79886556 0.20113444]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.10537047476627]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.27133816181816]
Predicted rank: [0], ambiguousness: [[0.5916118 0.4083882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.53845779211456]
Predicted rank: [0], ambiguousness: [[0.6873561  0.31264392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.77480077970414]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.99293761255566]
Predicted rank: [0], ambiguousness: [[0.61490834 0.3850917 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.08822566318882]
Predicted rank: [0], ambiguousness: [[0.6053115 0.3946885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.12949614893304]
Predicted rank: [0], ambiguousness: [[0.7641418  0.23585817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.11698255822847]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.39220974619022]
Predicted rank: [0], ambiguousness: [[0.66852856 0.33147144]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.68409472011726]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.30878268994758]
Predicted rank: [0], ambiguousness: [[0.7422432 0.2577568]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.4677615559679]
Predicted rank: [0], ambiguousness: [[0.7833127  0.21668729]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.53046724537961]
Predicted rank: [0], ambiguousness: [[0.8609811 0.1390189]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.52165847437209]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.41380636570449]
Predicted rank: [0], ambiguousness: [[0.6685039 0.3314961]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.63285764902122]
Predicted rank: [0], ambiguousness: [[0.7171031  0.28289685]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.69344957408023]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.68522976265942]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.79782296442418]
Predicted rank: [0], ambiguousness: [[0.6060324  0.39396763]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.90424728444661]
Predicted rank: [0], ambiguousness: [[0.8446475  0.15535247]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.9004517363527]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.95770644434313]
Predicted rank: [0], ambiguousness: [[0.5998813 0.4001187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.98513971011727]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.98596234570192]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.21090647940136]
Predicted rank: [0], ambiguousness: [[0.5675759  0.43242413]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.46562540323124]
Predicted rank: [0], ambiguousness: [[0.69650674 0.30349323]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.73010225725103]
Predicted rank: [0], ambiguousness: [[0.7131635 0.2868365]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.94909423718383]
Predicted rank: [0], ambiguousness: [[0.62502265 0.37497735]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.04467403991505]
Predicted rank: [0], ambiguousness: [[0.61552024 0.38447973]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.08604235068027]
Predicted rank: [0], ambiguousness: [[0.78427917 0.21572082]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.07354151500033]
Predicted rank: [0], ambiguousness: [[0.7561627  0.24383728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.3487117322197]
Predicted rank: [0], ambiguousness: [[0.6737988  0.32620117]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.64166066815832]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.27150957030777]
Predicted rank: [0], ambiguousness: [[0.74678534 0.25321466]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.43129024331569]
Predicted rank: [0], ambiguousness: [[0.7873385  0.21266153]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.49426050983568]
Predicted rank: [0], ambiguousness: [[0.87210155 0.12789847]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.48549411080273]
Predicted rank: [0], ambiguousness: [[0.817377   0.18262301]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.39071429215747]
Predicted rank: [0], ambiguousness: [[0.67377436 0.3262256 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.61034746348011]
Predicted rank: [0], ambiguousness: [[0.7219223 0.2780777]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.67105753176392]
Predicted rank: [0], ambiguousness: [[0.88387233 0.11612768]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.66285660795725]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.77594043733961]
Predicted rank: [0], ambiguousness: [[0.6117192 0.3882808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.88254094469721]
Predicted rank: [0], ambiguousness: [[0.8568573 0.1431427]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.87876757072623]
Predicted rank: [0], ambiguousness: [[0.80861187 0.19138812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.93619110002619]
Predicted rank: [0], ambiguousness: [[0.61599964 0.38400036]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.96367600925879]
Predicted rank: [0], ambiguousness: [[0.71646106 0.2835389 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.96454433475307]
Predicted rank: [0], ambiguousness: [[0.8383372  0.16166285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.59528491918351]
Predicted rank: [0], ambiguousness: [[0.7295089  0.27049115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.8245351185966]
Predicted rank: [0], ambiguousness: [[0.7527323 0.2472677]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.04202783384416]
Predicted rank: [0], ambiguousness: [[0.63946885 0.36053115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.13709690680346]
Predicted rank: [0], ambiguousness: [[0.6714703  0.32852975]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.17828685938098]
Predicted rank: [0], ambiguousness: [[0.8056549  0.19434515]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.16576500796114]
Predicted rank: [0], ambiguousness: [[0.77628374 0.22371629]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.20768873765236]
Predicted rank: [0], ambiguousness: [[0.6825334  0.31746665]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.54244276970621]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.19454748644112]
Predicted rank: [0], ambiguousness: [[0.75322396 0.24677606]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.35693326176533]
Predicted rank: [0], ambiguousness: [[0.8013288  0.19867125]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.42073534874675]
Predicted rank: [0], ambiguousness: [[0.86200404 0.13799599]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.41211548072877]
Predicted rank: [0], ambiguousness: [[0.8367599  0.16324009]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.38149846182603]
Predicted rank: [0], ambiguousness: [[0.67248046 0.3275195 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.60133644096669]
Predicted rank: [0], ambiguousness: [[0.7157787 0.2842213]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.66206613794874]
Predicted rank: [0], ambiguousness: [[0.8612757  0.13872433]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.65387121000819]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.76689859406619]
Predicted rank: [0], ambiguousness: [[0.61261845 0.38738158]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.87354339612457]
Predicted rank: [0], ambiguousness: [[0.8341974  0.16580263]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.86977734323499]
Predicted rank: [0], ambiguousness: [[0.81615794 0.18384208]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.92726193484387]
Predicted rank: [0], ambiguousness: [[0.5832071  0.41679293]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.95475309505292]
Predicted rank: [0], ambiguousness: [[0.72151136 0.27848864]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.95564100862211]
Predicted rank: [0], ambiguousness: [[0.82801384 0.17198618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.43321280546294]
Predicted rank: [0], ambiguousness: [[0.70524335 0.29475662]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.1683665421589]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.02670365102946]
Predicted rank: [0], ambiguousness: [[0.73786306 0.2621369 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.20055593882006]
Predicted rank: [0], ambiguousness: [[0.7841003  0.21589969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.26779701077234]
Predicted rank: [0], ambiguousness: [[0.86310655 0.13689344]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.25977891741402]
Predicted rank: [0], ambiguousness: [[0.8025983  0.19740172]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.03701688991366]
Predicted rank: [0], ambiguousness: [[0.5834104 0.4165896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.42756503559626]
Predicted rank: [0], ambiguousness: [[0.6948639  0.30513608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.52857997168653]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.52831141327695]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 101.99323506021618]
Predicted rank: [0], ambiguousness: [[0.74389803 0.25610194]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.15353743947733]
Predicted rank: [0], ambiguousness: [[0.90655816 0.09344182]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.15690196319338]
Predicted rank: [0], ambiguousness: [[0.87076825 0.12923175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.2624905760178]
Predicted rank: [0], ambiguousness: [[0.77804255 0.22195746]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.30483617227321]
Predicted rank: [0], ambiguousness: [[0.83712226 0.16287775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.32089046887712]
Predicted rank: [0], ambiguousness: [[0.90244085 0.09755918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.10192143544074]
Predicted rank: [0], ambiguousness: [[0.62879705 0.37120298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.2608349743237]
Predicted rank: [0], ambiguousness: [[0.8638024  0.13619764]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.26587780449768]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.43628601652273]
Predicted rank: [0], ambiguousness: [[0.7300861  0.26991388]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.47810717230053]
Predicted rank: [0], ambiguousness: [[0.80077326 0.19922672]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.49515370173233]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.58293107836393]
Predicted rank: [0], ambiguousness: [[0.5971405 0.4028595]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.63465716088746]
Predicted rank: [0], ambiguousness: [[0.7486212  0.25137874]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.69909635696092]
Predicted rank: [0], ambiguousness: [[0.8737817  0.12621829]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.73077882257135]
Predicted rank: [0], ambiguousness: [[0.60083497 0.39916503]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.87593371140025]
Predicted rank: [0], ambiguousness: [[0.7405673 0.2594327]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.06144108831035]
Predicted rank: [0], ambiguousness: [[0.75565416 0.24434584]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.2745671985714]
Predicted rank: [0], ambiguousness: [[0.6746129  0.32538715]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.36812679127411]
Predicted rank: [0], ambiguousness: [[0.6749377 0.3250623]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.4087396287673]
Predicted rank: [0], ambiguousness: [[0.807936 0.192064]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.39616786521364]
Predicted rank: [0], ambiguousness: [[0.77900904 0.22099096]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.50923838830472]
Predicted rank: [0], ambiguousness: [[0.69176185 0.30823812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.85238426414692]
Predicted rank: [0], ambiguousness: [[0.7131635 0.2868365]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.48586692991341]
Predicted rank: [0], ambiguousness: [[0.76111674 0.23888323]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.64472740467815]
Predicted rank: [0], ambiguousness: [[0.808075 0.191925]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.70728241307307]
Predicted rank: [0], ambiguousness: [[0.8751511  0.12484891]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.69849694143221]
Predicted rank: [0], ambiguousness: [[0.85412174 0.14587826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.62755861590384]
Predicted rank: [0], ambiguousness: [[0.681865 0.318135]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.84375832987968]
Predicted rank: [0], ambiguousness: [[0.72443104 0.275569  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.9036186446935]
Predicted rank: [0], ambiguousness: [[0.87448204 0.12551793]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.89531007774303]
Predicted rank: [0], ambiguousness: [[0.86612934 0.13387066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.00541561987157]
Predicted rank: [0], ambiguousness: [[0.622756   0.37724403]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.11072406734164]
Predicted rank: [0], ambiguousness: [[0.84953123 0.15046877]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.10681164924513]
Predicted rank: [0], ambiguousness: [[0.8352796 0.1647204]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.16325565439158]
Predicted rank: [0], ambiguousness: [[0.60411376 0.39588624]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.19033124088457]
Predicted rank: [0], ambiguousness: [[0.7474309  0.25256905]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.19092470726076]
Predicted rank: [0], ambiguousness: [[0.8340416 0.1659584]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.72815680375024]
Predicted rank: [0], ambiguousness: [[0.7056029  0.29439712]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.49619504535721]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.32688694668812]
Predicted rank: [0], ambiguousness: [[0.7424556  0.25754437]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.49672757325857]
Predicted rank: [0], ambiguousness: [[0.7881154  0.21188465]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.56257548815796]
Predicted rank: [0], ambiguousness: [[0.87408185 0.12591816]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.55436608859773]
Predicted rank: [0], ambiguousness: [[0.8200298  0.17997022]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.35290090115319]
Predicted rank: [0], ambiguousness: [[0.5892024  0.41079757]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.73446676647359]
Predicted rank: [0], ambiguousness: [[0.69990337 0.3000966 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.83340199869778]
Predicted rank: [0], ambiguousness: [[0.88387233 0.11612768]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.83278054399662]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.28324094472836]
Predicted rank: [0], ambiguousness: [[0.74842095 0.25157908]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.44066236538731]
Predicted rank: [0], ambiguousness: [[0.9143953 0.0856047]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.4436748831206]
Predicted rank: [0], ambiguousness: [[0.8830571  0.11694289]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.54681745153933]
Predicted rank: [0], ambiguousness: [[0.78950226 0.21049775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.58832117587382]
Predicted rank: [0], ambiguousness: [[0.852067   0.14793298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.60364464172335]
Predicted rank: [0], ambiguousness: [[0.90452313 0.09547688]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.349065676905]
Predicted rank: [0], ambiguousness: [[0.6343535 0.3656465]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.50580188170804]
Predicted rank: [0], ambiguousness: [[0.87472993 0.12527007]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.51056362208072]
Predicted rank: [0], ambiguousness: [[0.76472855 0.23527147]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.67800687511004]
Predicted rank: [0], ambiguousness: [[0.7432046  0.25679538]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.71920803099391]
Predicted rank: [0], ambiguousness: [[0.81832945 0.18167055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.73572378517095]
Predicted rank: [0], ambiguousness: [[0.91254056 0.08745944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.82089019404566]
Predicted rank: [0], ambiguousness: [[0.62005246 0.3799475 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.8719329434671]
Predicted rank: [0], ambiguousness: [[0.76945 0.23055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.9353482348772]
Predicted rank: [0], ambiguousness: [[0.8763919  0.12360808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.96599926214529]
Predicted rank: [0], ambiguousness: [[0.60654813 0.39345187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.58057549159847]
Predicted rank: [0], ambiguousness: [[0.7250762  0.27492377]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.92520155452468]
Predicted rank: [0], ambiguousness: [[0.7527323 0.2472677]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.55182629068186]
Predicted rank: [0], ambiguousness: [[0.7722305  0.22776946]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.70963701928171]
Predicted rank: [0], ambiguousness: [[0.8376424  0.16235761]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.77184238860282]
Predicted rank: [0], ambiguousness: [[0.8846791 0.1153209]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.76300172678123]
Predicted rank: [0], ambiguousness: [[0.8627901  0.13720992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.67427950577064]
Predicted rank: [0], ambiguousness: [[0.6951893 0.3048107]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.88978010541544]
Predicted rank: [0], ambiguousness: [[0.7704429  0.22955708]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.94949230622841]
Predicted rank: [0], ambiguousness: [[0.8881938 0.1118062]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.94116118596966]
Predicted rank: [0], ambiguousness: [[0.87863255 0.12136745]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.0507052166375]
Predicted rank: [0], ambiguousness: [[0.6929841 0.3070159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.15578910319499]
Predicted rank: [0], ambiguousness: [[0.8483691  0.15163091]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.1518494518939]
Predicted rank: [0], ambiguousness: [[0.8443303 0.1556697]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.20809143968212]
Predicted rank: [0], ambiguousness: [[0.6269264 0.3730736]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.23510032013792]
Predicted rank: [0], ambiguousness: [[0.775419   0.22458103]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.23563767638566]
Predicted rank: [0], ambiguousness: [[0.8603395  0.13966048]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.54624224818612]
Predicted rank: [0], ambiguousness: [[0.6954683  0.30453166]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.26286158279945]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.15991046968358]
Predicted rank: [0], ambiguousness: [[0.74132955 0.25867045]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.33494502710818]
Predicted rank: [0], ambiguousness: [[0.79560435 0.20439564]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.40244991592273]
Predicted rank: [0], ambiguousness: [[0.859324   0.14067604]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.39452955045576]
Predicted rank: [0], ambiguousness: [[0.8336842  0.16631582]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.21727804739209]
Predicted rank: [0], ambiguousness: [[0.58777833 0.41222164]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.6077460120223]
Predicted rank: [0], ambiguousness: [[0.6934799  0.30652013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.70848440648955]
Predicted rank: [0], ambiguousness: [[0.8612757  0.13872433]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.70821934667524]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.17805201030428]
Predicted rank: [0], ambiguousness: [[0.7703093  0.22969069]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.33760640351741]
Predicted rank: [0], ambiguousness: [[0.9033477  0.09665232]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.34090322239283]
Predicted rank: [0], ambiguousness: [[0.8920102  0.10798981]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.44607553379066]
Predicted rank: [0], ambiguousness: [[0.78606045 0.21393955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.4881606040291]
Predicted rank: [0], ambiguousness: [[0.86897945 0.13102058]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.50408672036691]
Predicted rank: [0], ambiguousness: [[0.90807    0.09192996]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.31120557973894]
Predicted rank: [0], ambiguousness: [[0.62727404 0.37272593]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.46822922472099]
Predicted rank: [0], ambiguousness: [[0.85441864 0.1455814 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.47302880600964]
Predicted rank: [0], ambiguousness: [[0.77352023 0.2264798 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.64094685989974]
Predicted rank: [0], ambiguousness: [[0.7162715  0.28372845]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.68220918072086]
Predicted rank: [0], ambiguousness: [[0.822016   0.17798397]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.69879625605999]
Predicted rank: [0], ambiguousness: [[0.9064267  0.09357326]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.78416754777177]
Predicted rank: [0], ambiguousness: [[0.5887338  0.41126618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.8352819601019]
Predicted rank: [0], ambiguousness: [[0.77978116 0.22021885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.89883216424082]
Predicted rank: [0], ambiguousness: [[0.8715065 0.1284935]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.92965225606861]
Predicted rank: [0], ambiguousness: [[0.597968 0.402032]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.50183429967976]
Predicted rank: [0], ambiguousness: [[0.71087706 0.2891229 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.35683610405157]
Predicted rank: [0], ambiguousness: [[0.81464446 0.18535553]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.52619504097339]
Predicted rank: [0], ambiguousness: [[0.80166394 0.19833608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.59190540309564]
Predicted rank: [0], ambiguousness: [[0.8825808  0.11741918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.58368077871066]
Predicted rank: [0], ambiguousness: [[0.8282776  0.17172238]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 100.74093197157538]
Predicted rank: [0], ambiguousness: [[0.5834104 0.4165896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.21091681088615]
Predicted rank: [0], ambiguousness: [[0.6948639  0.30513608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.32327338473343]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.32537422131568]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 101.9866711770285]
Predicted rank: [0], ambiguousness: [[0.7395362  0.26046377]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.15525075184331]
Predicted rank: [0], ambiguousness: [[0.90461147 0.09538855]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.15968653176553]
Predicted rank: [0], ambiguousness: [[0.8681843  0.13181567]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.2739812215156]
Predicted rank: [0], ambiguousness: [[0.7788439  0.22115609]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.3181650388822]
Predicted rank: [0], ambiguousness: [[0.8377548 0.1622452]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.33678054526732]
Predicted rank: [0], ambiguousness: [[0.9040031  0.09599693]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 100.8761937455734]
Predicted rank: [0], ambiguousness: [[0.5405166  0.45948339]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 101.12912881350914]
Predicted rank: [0], ambiguousness: [[0.814965 0.185035]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 101.14872670782314]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 101.45508029318759]
Predicted rank: [0], ambiguousness: [[0.7300861  0.26991388]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 101.52430880278511]
Predicted rank: [0], ambiguousness: [[0.7831222 0.2168778]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 101.57064480732308]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 101.99161557658579]
Predicted rank: [0], ambiguousness: [[0.718911 0.281089]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 102.0685605921847]
Predicted rank: [0], ambiguousness: [[0.84552914 0.15447088]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 102.1782376534014]
Predicted rank: [0], ambiguousness: [[0.92930603 0.07069398]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 102.2601512644004]
Predicted rank: [0], ambiguousness: [[0.78925437 0.21074562]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.05679759102894]
Predicted rank: [0], ambiguousness: [[0.5968939  0.40310606]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.13396620731652]
Predicted rank: [0], ambiguousness: [[0.6948793  0.30512074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.24483078735824]
Predicted rank: [0], ambiguousness: [[0.89900804 0.10099193]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.39921150054411]
Predicted rank: [0], ambiguousness: [[0.7588163  0.24118368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [102.77180946205068, 103.52574101211994]
Predicted rank: [0], ambiguousness: [[0.599995   0.40000498]]
Running local search 5
Switching 5 patient(s). Size of neighborhood: 15504
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.85930180758501]
Predicted rank: [0], ambiguousness: [[0.6822099 0.3177901]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.65034450401095]
Predicted rank: [0], ambiguousness: [[0.70375144 0.29624853]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.71069693205297]
Predicted rank: [0], ambiguousness: [[0.7005683  0.29943168]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.5046338849783]
Predicted rank: [0], ambiguousness: [[0.79393923 0.2060608 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.17985132775132]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.479565051116]
Predicted rank: [0], ambiguousness: [[0.7235409  0.27645907]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.60778876823258]
Predicted rank: [0], ambiguousness: [[0.7573693  0.24263072]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.66268735725107]
Predicted rank: [0], ambiguousness: [[0.8673953  0.13260475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.64752205379763]
Predicted rank: [0], ambiguousness: [[0.703758 0.296242]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.49036508654669]
Predicted rank: [0], ambiguousness: [[0.699559 0.300441]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.28975678031858]
Predicted rank: [0], ambiguousness: [[0.79781854 0.20218149]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.01211902183437]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.31470998431104]
Predicted rank: [0], ambiguousness: [[0.728292   0.27170798]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.44389444125173]
Predicted rank: [0], ambiguousness: [[0.76173043 0.23826957]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.49912980048808]
Predicted rank: [0], ambiguousness: [[0.87807524 0.12192475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.48400009332948]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.71829292350995]
Predicted rank: [0], ambiguousness: [[0.74032116 0.25967884]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.24636315404888]
Predicted rank: [0], ambiguousness: [[0.80182123 0.1981788 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.06332439573049]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.36514321061156]
Predicted rank: [0], ambiguousness: [[0.7252696  0.27473038]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.4941800249853]
Predicted rank: [0], ambiguousness: [[0.7599471 0.2400529]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.54935059600685]
Predicted rank: [0], ambiguousness: [[0.8639284  0.13607161]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.53422018751354]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.05765401218792]
Predicted rank: [0], ambiguousness: [[0.7968478  0.20315221]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.10555208607445]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.99233345889182]
Predicted rank: [0], ambiguousness: [[0.8221217 0.1778783]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.21190245242417]
Predicted rank: [0], ambiguousness: [[0.8754736  0.12452637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.29751845505955]
Predicted rank: [0], ambiguousness: [[0.9152582  0.08474175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.28748273239943]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.6149172942269]
Predicted rank: [0], ambiguousness: [[0.8202653  0.17973469]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.91187795695052]
Predicted rank: [0], ambiguousness: [[0.8209355 0.1790645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.99292112435549]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.98348238674404]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.14429731185061]
Predicted rank: [0], ambiguousness: [[0.72705966 0.27294034]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.28531372795791]
Predicted rank: [0], ambiguousness: [[0.890542   0.10945804]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.2815402452415]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.36035583823409]
Predicted rank: [0], ambiguousness: [[0.740632 0.259368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.39698700063693]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.40033529513269]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.64037356836232]
Predicted rank: [0], ambiguousness: [[0.7209087 0.2790913]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.14819841210092]
Predicted rank: [0], ambiguousness: [[0.80105627 0.19894376]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.01319942369716]
Predicted rank: [0], ambiguousness: [[0.81400096 0.185999  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.31635004687121]
Predicted rank: [0], ambiguousness: [[0.72431076 0.27568924]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.44584311282055]
Predicted rank: [0], ambiguousness: [[0.7590691  0.24093089]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.50116389062924]
Predicted rank: [0], ambiguousness: [[0.8716725  0.12832749]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.48605271681623]
Predicted rank: [0], ambiguousness: [[0.7561627  0.24383728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.01112559577062]
Predicted rank: [0], ambiguousness: [[0.80068606 0.19931392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.06117183838067]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.95634860376627]
Predicted rank: [0], ambiguousness: [[0.825587   0.17441303]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.17719620315357]
Predicted rank: [0], ambiguousness: [[0.8780538  0.12194625]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.26323091519103]
Predicted rank: [0], ambiguousness: [[0.9224281  0.07757191]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.25326083515165]
Predicted rank: [0], ambiguousness: [[0.817377   0.18262301]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.60217842021262]
Predicted rank: [0], ambiguousness: [[0.82375896 0.17624101]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.90002451409867]
Predicted rank: [0], ambiguousness: [[0.82441896 0.17558102]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.98124227875303]
Predicted rank: [0], ambiguousness: [[0.9250584  0.07494159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.97183126765255]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.13339157427214]
Predicted rank: [0], ambiguousness: [[0.73177266 0.26822734]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.27466790156707]
Predicted rank: [0], ambiguousness: [[0.89957356 0.10042644]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.27092682112738]
Predicted rank: [0], ambiguousness: [[0.80861187 0.19138812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.3499998416836]
Predicted rank: [0], ambiguousness: [[0.75341105 0.24658893]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.38670563746678]
Predicted rank: [0], ambiguousness: [[0.71646106 0.2835389 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.39012205239021]
Predicted rank: [0], ambiguousness: [[0.8383372  0.16166285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.38581961904023]
Predicted rank: [0], ambiguousness: [[0.8255372  0.17446278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.1857602789058]
Predicted rank: [0], ambiguousness: [[0.84272707 0.15727296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.48616542797839]
Predicted rank: [0], ambiguousness: [[0.7365442 0.2634558]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.61472079397812]
Predicted rank: [0], ambiguousness: [[0.8008871  0.19911286]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.66971467530578]
Predicted rank: [0], ambiguousness: [[0.88565105 0.11434896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.65456790322507]
Predicted rank: [0], ambiguousness: [[0.77628374 0.22371629]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.8106666410641]
Predicted rank: [0], ambiguousness: [[0.7982459  0.20175411]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.92738552727991]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.85716754339285]
Predicted rank: [0], ambiguousness: [[0.82915765 0.17084233]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.08197867343253]
Predicted rank: [0], ambiguousness: [[0.8812738  0.11872617]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.1692745892983]
Predicted rank: [0], ambiguousness: [[0.91606206 0.08393795]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.15952233921129]
Predicted rank: [0], ambiguousness: [[0.8367599  0.16324009]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.60861870047742]
Predicted rank: [0], ambiguousness: [[0.8215383  0.17846169]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.90656345765544]
Predicted rank: [0], ambiguousness: [[0.82299584 0.17700417]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.98776321430785]
Predicted rank: [0], ambiguousness: [[0.91584045 0.08415955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.97835495203756]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.13962548631197]
Predicted rank: [0], ambiguousness: [[0.7365322  0.26346782]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.28089847559238]
Predicted rank: [0], ambiguousness: [[0.88760185 0.11239817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.27716071745633]
Predicted rank: [0], ambiguousness: [[0.81615794 0.18384208]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.35626514406387]
Predicted rank: [0], ambiguousness: [[0.7422918  0.25770816]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.39295884123337]
Predicted rank: [0], ambiguousness: [[0.72151136 0.27848864]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.39638910630433]
Predicted rank: [0], ambiguousness: [[0.82801384 0.17198618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.17701087970535]
Predicted rank: [0], ambiguousness: [[0.82311034 0.17688969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.40330883685365]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.63550533728747]
Predicted rank: [0], ambiguousness: [[0.81876755 0.18123245]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.87679421304566]
Predicted rank: [0], ambiguousness: [[0.8759793  0.12402068]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.96903104813114]
Predicted rank: [0], ambiguousness: [[0.9166342  0.08336579]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.96012618677909]
Predicted rank: [0], ambiguousness: [[0.8025983  0.19740172]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.29393333490336]
Predicted rank: [0], ambiguousness: [[0.7318336  0.26816645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 101.83627581295389]
Predicted rank: [0], ambiguousness: [[0.804635   0.19536501]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 101.97483701160601]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 101.97649292539572]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.64377240773698]
Predicted rank: [0], ambiguousness: [[0.82870054 0.17129944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 102.86132653694173]
Predicted rank: [0], ambiguousness: [[0.93316835 0.06683167]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 102.86752157284602]
Predicted rank: [0], ambiguousness: [[0.87076825 0.12923175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.01487471642443]
Predicted rank: [0], ambiguousness: [[0.8652512  0.13474882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.07256734407943]
Predicted rank: [0], ambiguousness: [[0.83712226 0.16287775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.09733848078989]
Predicted rank: [0], ambiguousness: [[0.90244085 0.09755918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.27197179962289]
Predicted rank: [0], ambiguousness: [[0.7991143 0.2008857]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.48392262102288]
Predicted rank: [0], ambiguousness: [[0.92790335 0.07209662]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.49194491614604]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 104.72438706260385]
Predicted rank: [0], ambiguousness: [[0.8216786 0.1783214]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 104.78026883927458]
Predicted rank: [0], ambiguousness: [[0.80077326 0.19922672]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 104.80526626227751]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 104.93318342805244]
Predicted rank: [0], ambiguousness: [[0.70740134 0.29259866]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.0016751235884]
Predicted rank: [0], ambiguousness: [[0.7486212  0.25137874]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.0888144506153]
Predicted rank: [0], ambiguousness: [[0.8737817  0.12621829]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.13595313604915]
Predicted rank: [0], ambiguousness: [[0.60083497 0.39916503]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.94350777853407]
Predicted rank: [0], ambiguousness: [[0.8335655  0.16643453]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.65378374308966]
Predicted rank: [0], ambiguousness: [[0.84480476 0.15519525]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.94555023982508]
Predicted rank: [0], ambiguousness: [[0.76569265 0.23430735]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 106.07111654616259]
Predicted rank: [0], ambiguousness: [[0.80338866 0.19661136]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 106.12497254954638]
Predicted rank: [0], ambiguousness: [[0.8871248  0.11287524]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 106.10973907679113]
Predicted rank: [0], ambiguousness: [[0.77900904 0.22099096]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.40963130333394]
Predicted rank: [0], ambiguousness: [[0.79747057 0.2025294 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.54180343100857]
Predicted rank: [0], ambiguousness: [[0.81400096 0.185999  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.43364880162196]
Predicted rank: [0], ambiguousness: [[0.82847565 0.17152436]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.65135934678808]
Predicted rank: [0], ambiguousness: [[0.88076997 0.11923004]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.73615171226692]
Predicted rank: [0], ambiguousness: [[0.92111003 0.07888995]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.72608452691523]
Predicted rank: [0], ambiguousness: [[0.85412174 0.14587826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.09246794517296]
Predicted rank: [0], ambiguousness: [[0.82083243 0.17916755]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.3831833710791]
Predicted rank: [0], ambiguousness: [[0.8222945  0.17770554]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.46266541230119]
Predicted rank: [0], ambiguousness: [[0.9209007  0.07909933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.45304532266277]
Predicted rank: [0], ambiguousness: [[0.86612934 0.13387066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.60852602078336]
Predicted rank: [0], ambiguousness: [[0.7355983 0.2644017]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.74715037810066]
Predicted rank: [0], ambiguousness: [[0.8941637 0.1058363]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.74313544784327]
Predicted rank: [0], ambiguousness: [[0.8352796 0.1647204]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.82017125597666]
Predicted rank: [0], ambiguousness: [[0.7496714 0.2503286]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.85605083380672]
Predicted rank: [0], ambiguousness: [[0.7474309  0.25256905]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.85890965225522]
Predicted rank: [0], ambiguousness: [[0.8340416 0.1659584]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.7562102481819]
Predicted rank: [0], ambiguousness: [[0.82336205 0.17663795]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.04864105656756]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.22521031046385]
Predicted rank: [0], ambiguousness: [[0.82228404 0.17771597]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.45848869994822]
Predicted rank: [0], ambiguousness: [[0.8785504  0.12144962]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.54794982782178]
Predicted rank: [0], ambiguousness: [[0.92369735 0.07630266]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.53868294485872]
Predicted rank: [0], ambiguousness: [[0.8200298  0.17997022]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.91480816561639]
Predicted rank: [0], ambiguousness: [[0.736494 0.263506]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.43919983210938]
Predicted rank: [0], ambiguousness: [[0.80836153 0.19163844]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.57362071223092]
Predicted rank: [0], ambiguousness: [[0.9250584  0.07494159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.57459515110236]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 103.21290351736003]
Predicted rank: [0], ambiguousness: [[0.83206385 0.16793616]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.42471355493024]
Predicted rank: [0], ambiguousness: [[0.93892395 0.06107605]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.43022758386292]
Predicted rank: [0], ambiguousness: [[0.8830571  0.11694289]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.57270409002501]
Predicted rank: [0], ambiguousness: [[0.8729435  0.12705645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.62873294495196]
Predicted rank: [0], ambiguousness: [[0.852067   0.14793298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.65206689680849]
Predicted rank: [0], ambiguousness: [[0.90452313 0.09547688]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.75519340606036]
Predicted rank: [0], ambiguousness: [[0.80292034 0.19707966]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.96283147024081]
Predicted rank: [0], ambiguousness: [[0.9340804  0.06591959]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.97031225598838]
Predicted rank: [0], ambiguousness: [[0.76472855 0.23527147]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.19686995399314]
Predicted rank: [0], ambiguousness: [[0.83137363 0.16862637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.25153445824817]
Predicted rank: [0], ambiguousness: [[0.81832945 0.18167055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.27549604895195]
Predicted rank: [0], ambiguousness: [[0.91254056 0.08745944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.39824972928918]
Predicted rank: [0], ambiguousness: [[0.72691035 0.27308968]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.46539874116674]
Predicted rank: [0], ambiguousness: [[0.76945 0.23055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.55052129211478]
Predicted rank: [0], ambiguousness: [[0.8763919  0.12360808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.59563173428992]
Predicted rank: [0], ambiguousness: [[0.60654813 0.39345187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.53275754298426]
Predicted rank: [0], ambiguousness: [[0.82229495 0.17770508]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.66696593038532]
Predicted rank: [0], ambiguousness: [[0.84272707 0.15727296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.54695795291255]
Predicted rank: [0], ambiguousness: [[0.83712626 0.16287374]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.762860850805]
Predicted rank: [0], ambiguousness: [[0.9005169 0.0994831]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.84705152221215]
Predicted rank: [0], ambiguousness: [[0.9274215  0.07257848]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.83689317406483]
Predicted rank: [0], ambiguousness: [[0.8627901  0.13720992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.1726126744154]
Predicted rank: [0], ambiguousness: [[0.82978934 0.17021066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.46213054172233]
Predicted rank: [0], ambiguousness: [[0.8552315  0.14476848]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.54135953072966]
Predicted rank: [0], ambiguousness: [[0.9299478  0.07005222]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.53170253636293]
Predicted rank: [0], ambiguousness: [[0.87863255 0.12136745]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.68622632338244]
Predicted rank: [0], ambiguousness: [[0.79184115 0.20815884]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.8244657737714]
Predicted rank: [0], ambiguousness: [[0.893303   0.10669702]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.82040580902236]
Predicted rank: [0], ambiguousness: [[0.8443303 0.1556697]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.89709558956208]
Predicted rank: [0], ambiguousness: [[0.7673269  0.23267312]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.93286190662809]
Predicted rank: [0], ambiguousness: [[0.775419   0.22458103]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.93562618214901]
Predicted rank: [0], ambiguousness: [[0.8603395  0.13966048]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.48531852043357]
Predicted rank: [0], ambiguousness: [[0.81622547 0.18377453]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.69702603116329]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.97677853160843]
Predicted rank: [0], ambiguousness: [[0.8200488  0.17995118]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.21808513048498]
Predicted rank: [0], ambiguousness: [[0.8775008 0.1224992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.31010846291167]
Predicted rank: [0], ambiguousness: [[0.9143275  0.08567248]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.30127690817226]
Predicted rank: [0], ambiguousness: [[0.8336842  0.16631582]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.71453453589274]
Predicted rank: [0], ambiguousness: [[0.73352945 0.26647055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.25265848738243]
Predicted rank: [0], ambiguousness: [[0.80683875 0.19316126]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.38985255619755]
Predicted rank: [0], ambiguousness: [[0.91584045 0.08415955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.39136557621777]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 103.059627220473]
Predicted rank: [0], ambiguousness: [[0.84089917 0.15910083]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.27471732623076]
Predicted rank: [0], ambiguousness: [[0.9338145  0.06618547]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.28066012316188]
Predicted rank: [0], ambiguousness: [[0.8920102  0.10798981]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.42625134915059]
Predicted rank: [0], ambiguousness: [[0.87084913 0.12915085]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.48316849983618]
Predicted rank: [0], ambiguousness: [[0.86897945 0.13102058]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.50742092742308]
Predicted rank: [0], ambiguousness: [[0.90807    0.09192996]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.70586065264652]
Predicted rank: [0], ambiguousness: [[0.8013649  0.19863507]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.91390333212502]
Predicted rank: [0], ambiguousness: [[0.9258833  0.07411671]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.92143652101751]
Predicted rank: [0], ambiguousness: [[0.77352023 0.2264798 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.14866781192438]
Predicted rank: [0], ambiguousness: [[0.82294375 0.17705625]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.20341554098998]
Predicted rank: [0], ambiguousness: [[0.822016   0.17798397]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.22747659193965]
Predicted rank: [0], ambiguousness: [[0.9064267  0.09357326]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.35048284166768]
Predicted rank: [0], ambiguousness: [[0.7161903  0.28380972]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.41773067164041]
Predicted rank: [0], ambiguousness: [[0.77978116 0.22021885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.50304327278528]
Predicted rank: [0], ambiguousness: [[0.8715065 0.1284935]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.54839293744371]
Predicted rank: [0], ambiguousness: [[0.597968 0.402032]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.07394113235131]
Predicted rank: [0], ambiguousness: [[0.8164096  0.18359044]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.28517264780234]
Predicted rank: [0], ambiguousness: [[0.88309425 0.11690577]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.51751797674065]
Predicted rank: [0], ambiguousness: [[0.8871443  0.11285568]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.6067043097687]
Predicted rank: [0], ambiguousness: [[0.92911905 0.07088096]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.59740621471573]
Predicted rank: [0], ambiguousness: [[0.8282776  0.17172238]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.04370308039846]
Predicted rank: [0], ambiguousness: [[0.7318336  0.26816645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 101.69675987169836]
Predicted rank: [0], ambiguousness: [[0.804635   0.19536501]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 101.8506649704643]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 101.85553960718528]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.80040503519058]
Predicted rank: [0], ambiguousness: [[0.8254441  0.17455591]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.02839649421448]
Predicted rank: [0], ambiguousness: [[0.93173426 0.06826574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.03594097864742]
Predicted rank: [0], ambiguousness: [[0.8681843  0.13181567]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.19452709143667]
Predicted rank: [0], ambiguousness: [[0.865792   0.13420801]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.25441854098315]
Predicted rank: [0], ambiguousness: [[0.8377548 0.1622452]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.28249799764407]
Predicted rank: [0], ambiguousness: [[0.9040031  0.09599693]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 101.30381666578512]
Predicted rank: [0], ambiguousness: [[0.7040309 0.2959691]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 101.64700800490107]
Predicted rank: [0], ambiguousness: [[0.88500655 0.11499345]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 101.67510202182385]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 102.09789057397286]
Predicted rank: [0], ambiguousness: [[0.8216786 0.1783214]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 102.19189001860032]
Predicted rank: [0], ambiguousness: [[0.7831222 0.2168778]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 102.2575201572669]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 102.85612270217732]
Predicted rank: [0], ambiguousness: [[0.8004843  0.19951569]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 102.95951027041596]
Predicted rank: [0], ambiguousness: [[0.84552914 0.15447088]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 103.10939742503504]
Predicted rank: [0], ambiguousness: [[0.92930603 0.07069398]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 103.22602339733703]
Predicted rank: [0], ambiguousness: [[0.78925437 0.21074562]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 8]
Costs: [102.77180946205068, 104.39791183317607]
Predicted rank: [0], ambiguousness: [[0.76609457 0.23390542]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 7]
Costs: [102.77180946205068, 104.49998457342019]
Predicted rank: [0], ambiguousness: [[0.6948793  0.30512074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 7]
Costs: [102.77180946205068, 104.64875527065122]
Predicted rank: [0], ambiguousness: [[0.89900804 0.10099193]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 7]
Costs: [102.77180946205068, 104.86041127547037]
Predicted rank: [0], ambiguousness: [[0.7588163  0.24118368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 7]
Costs: [102.77180946205068, 105.04096248069905]
Predicted rank: [0], ambiguousness: [[0.599995   0.40000498]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.8758216943792]
Predicted rank: [0], ambiguousness: [[0.5154549 0.4845451]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.75324958110701]
Predicted rank: [0], ambiguousness: [[0.52870035 0.47129965]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.76922384089718]
Predicted rank: [0], ambiguousness: [[0.5197667 0.4802333]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.20218233697346]
Predicted rank: [0], ambiguousness: [[0.65419054 0.3458095 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.35205465553943]
Predicted rank: [0], ambiguousness: [[0.69712687 0.30287316]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.56888959224884]
Predicted rank: [0], ambiguousness: [[0.5996095 0.4003905]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.66367733280129]
Predicted rank: [0], ambiguousness: [[0.5958039  0.40419608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.70478023894589]
Predicted rank: [0], ambiguousness: [[0.78096986 0.21903011]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.69224391744105]
Predicted rank: [0], ambiguousness: [[0.694046   0.30595398]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.62071588962104]
Predicted rank: [0], ambiguousness: [[0.54194933 0.45805067]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.05755163221079]
Predicted rank: [0], ambiguousness: [[0.6698584 0.3301416]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.233368521862]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.45179281196626]
Predicted rank: [0], ambiguousness: [[0.61629987 0.38370013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.54711003314566]
Predicted rank: [0], ambiguousness: [[0.6125505  0.38744953]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.58839898992925]
Predicted rank: [0], ambiguousness: [[0.79886556 0.20113444]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.57588401938409]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.74602472644631]
Predicted rank: [0], ambiguousness: [[0.5916118 0.4083882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.01280496217345]
Predicted rank: [0], ambiguousness: [[0.6873561  0.31264392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.24954202369148]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.46770058938147]
Predicted rank: [0], ambiguousness: [[0.61490834 0.3850917 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.5629959677866]
Predicted rank: [0], ambiguousness: [[0.6053115 0.3946885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.60426910441973]
Predicted rank: [0], ambiguousness: [[0.7641418  0.23585817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.59175580377392]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.86673882123654]
Predicted rank: [0], ambiguousness: [[0.66852856 0.33147144]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.15859961565762]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.78339382537993]
Predicted rank: [0], ambiguousness: [[0.7422432 0.2577568]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.9423910800989]
Predicted rank: [0], ambiguousness: [[0.7833127  0.21668729]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.00510307367367]
Predicted rank: [0], ambiguousness: [[0.8609811 0.1390189]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.99629523197841]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.88869300546297]
Predicted rank: [0], ambiguousness: [[0.6685039 0.3314961]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.10776088961671]
Predicted rank: [0], ambiguousness: [[0.7171031  0.28289685]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.16835654425586]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.16013727454131]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.27274441088612]
Predicted rank: [0], ambiguousness: [[0.6060324  0.39396763]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.37917437608907]
Predicted rank: [0], ambiguousness: [[0.8446475  0.15535247]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.37537949219791]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.43263896493625]
Predicted rank: [0], ambiguousness: [[0.5998813 0.4001187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.46007395699743]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.4608979357123]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.59418026986067]
Predicted rank: [0], ambiguousness: [[0.5675759  0.43242413]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.83675549974123]
Predicted rank: [0], ambiguousness: [[0.69650674 0.30349323]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.1194406003568]
Predicted rank: [0], ambiguousness: [[0.7131635 0.2868365]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.33938241556172]
Predicted rank: [0], ambiguousness: [[0.62502265 0.37497735]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.43528611839118]
Predicted rank: [0], ambiguousness: [[0.61552024 0.38447973]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.47677143336668]
Predicted rank: [0], ambiguousness: [[0.78427917 0.21572082]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.46428319933253]
Predicted rank: [0], ambiguousness: [[0.7561627  0.24383728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.73037643647615]
Predicted rank: [0], ambiguousness: [[0.6737988  0.32620117]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.02257957018169]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.65705313261796]
Predicted rank: [0], ambiguousness: [[0.74678534 0.25321466]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.8176349817247]
Predicted rank: [0], ambiguousness: [[0.7873385  0.21266153]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.88087982666364]
Predicted rank: [0], ambiguousness: [[0.87210155 0.12789847]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.87215364804261]
Predicted rank: [0], ambiguousness: [[0.817377   0.18262301]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.78826040823421]
Predicted rank: [0], ambiguousness: [[0.67377436 0.3262256 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.00861581060842]
Predicted rank: [0], ambiguousness: [[0.7219223 0.2780777]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.06948802805888]
Predicted rank: [0], ambiguousness: [[0.88387233 0.11612768]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.06131038883868]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.17499219560814]
Predicted rank: [0], ambiguousness: [[0.6117192 0.3882808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.28183870976898]
Predicted rank: [0], ambiguousness: [[0.8568573 0.1431427]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.27809404261204]
Predicted rank: [0], ambiguousness: [[0.80861187 0.19138812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.33572531059102]
Predicted rank: [0], ambiguousness: [[0.61599964 0.38400036]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.3632852217014]
Predicted rank: [0], ambiguousness: [[0.71646106 0.2835389 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.36421182724158]
Predicted rank: [0], ambiguousness: [[0.8383372  0.16166285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.00317999694363]
Predicted rank: [0], ambiguousness: [[0.7295089  0.27049115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.24238330479986]
Predicted rank: [0], ambiguousness: [[0.7527323 0.2472677]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.46052013765141]
Predicted rank: [0], ambiguousness: [[0.63946885 0.36053115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.55580818828457]
Predicted rank: [0], ambiguousness: [[0.6714703  0.32852975]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.5970786740288]
Predicted rank: [0], ambiguousness: [[0.8056549  0.19434515]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.58456508332421]
Predicted rank: [0], ambiguousness: [[0.77628374 0.22371629]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.61186963367295]
Predicted rank: [0], ambiguousness: [[0.6825334  0.31746665]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.9470207602394]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.60300725985223]
Predicted rank: [0], ambiguousness: [[0.75322396 0.24677606]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.76604084558909]
Predicted rank: [0], ambiguousness: [[0.8013288  0.19867125]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.83006470771782]
Predicted rank: [0], ambiguousness: [[0.86200404 0.13799599]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.82147749413176]
Predicted rank: [0], ambiguousness: [[0.8367599  0.16324009]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.80018199640014]
Predicted rank: [0], ambiguousness: [[0.67248046 0.3275195 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.02056131507342]
Predicted rank: [0], ambiguousness: [[0.7157787 0.2842213]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.08141385077965]
Predicted rank: [0], ambiguousness: [[0.8612757  0.13872433]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.07323635585982]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.18670534884558]
Predicted rank: [0], ambiguousness: [[0.61261845 0.38738158]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.2935373307034]
Predicted rank: [0], ambiguousness: [[0.8341974  0.16580263]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.28979293539979]
Predicted rank: [0], ambiguousness: [[0.81615794 0.18384208]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.34743304335868]
Predicted rank: [0], ambiguousness: [[0.5832071  0.41679293]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.37498143636907]
Predicted rank: [0], ambiguousness: [[0.72151136 0.27848864]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.37591330172997]
Predicted rank: [0], ambiguousness: [[0.82801384 0.17198618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.84501205384738]
Predicted rank: [0], ambiguousness: [[0.70524335 0.29475662]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.57439700797252]
Predicted rank: [0], ambiguousness: [[0.70678234 0.29321766]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.43787049512866]
Predicted rank: [0], ambiguousness: [[0.73786306 0.2621369 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.61239255890871]
Predicted rank: [0], ambiguousness: [[0.7841003  0.21589969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.67986026451122]
Predicted rank: [0], ambiguousness: [[0.86310655 0.13689344]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.67187586046073]
Predicted rank: [0], ambiguousness: [[0.8025983  0.19740172]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.44629427836941]
Predicted rank: [0], ambiguousness: [[0.5834104 0.4165896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.83831619946112]
Predicted rank: [0], ambiguousness: [[0.6948639  0.30513608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.93966236032259]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.9394526370217]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.4068931643246]
Predicted rank: [0], ambiguousness: [[0.74389803 0.25610194]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.56764308063262]
Predicted rank: [0], ambiguousness: [[0.90655816 0.09344182]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.5710639914304]
Predicted rank: [0], ambiguousness: [[0.87076825 0.12923175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.67704619028942]
Predicted rank: [0], ambiguousness: [[0.77804255 0.22195746]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.7195207219033]
Predicted rank: [0], ambiguousness: [[0.83712226 0.16287775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.7356926079456]
Predicted rank: [0], ambiguousness: [[0.90244085 0.09755918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.52340065454305]
Predicted rank: [0], ambiguousness: [[0.62879705 0.37120298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.68261361372404]
Predicted rank: [0], ambiguousness: [[0.8638024  0.13619764]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.68769602604038]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.85853030393449]
Predicted rank: [0], ambiguousness: [[0.7300861  0.26991388]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.90043458623194]
Predicted rank: [0], ambiguousness: [[0.80077326 0.19922672]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.91755568646388]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 104.00571671692185]
Predicted rank: [0], ambiguousness: [[0.5971405 0.4028595]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 104.05753344548381]
Predicted rank: [0], ambiguousness: [[0.7486212  0.25137874]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 104.12211232631633]
Predicted rank: [0], ambiguousness: [[0.8737817  0.12621829]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 104.15394431647675]
Predicted rank: [0], ambiguousness: [[0.60083497 0.39916503]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.91136835886357]
Predicted rank: [0], ambiguousness: [[0.7179859  0.28201407]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.18052509299946]
Predicted rank: [0], ambiguousness: [[0.73391414 0.26608586]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.39951707293226]
Predicted rank: [0], ambiguousness: [[0.6490115  0.35098848]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.49509687566348]
Predicted rank: [0], ambiguousness: [[0.6493487  0.35065132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.5364651864287]
Predicted rank: [0], ambiguousness: [[0.7895522  0.21044782]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.52396435074877]
Predicted rank: [0], ambiguousness: [[0.7586834 0.2413166]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.51561696693551]
Predicted rank: [0], ambiguousness: [[0.69176185 0.30823812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.86091710001782]
Predicted rank: [0], ambiguousness: [[0.7131635 0.2868365]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.52747737715868]
Predicted rank: [0], ambiguousness: [[0.76111674 0.23888323]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.69197816961736]
Predicted rank: [0], ambiguousness: [[0.808075 0.191925]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.75648145723474]
Predicted rank: [0], ambiguousness: [[0.8751511  0.12484891]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.7479729232679]
Predicted rank: [0], ambiguousness: [[0.85412174 0.14587826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.75433749486857]
Predicted rank: [0], ambiguousness: [[0.681865 0.318135]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.97547649405367]
Predicted rank: [0], ambiguousness: [[0.72443104 0.275569  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.03648203291456]
Predicted rank: [0], ambiguousness: [[0.87448204 0.12551793]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.02832908962759]
Predicted rank: [0], ambiguousness: [[0.86612934 0.13387066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.1424029638446]
Predicted rank: [0], ambiguousness: [[0.622756   0.37724403]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.24946589622165]
Predicted rank: [0], ambiguousness: [[0.84953123 0.15046877]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.24575054062811]
Predicted rank: [0], ambiguousness: [[0.8352796 0.1647204]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.30361103855553]
Predicted rank: [0], ambiguousness: [[0.60411376 0.39588624]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.33122647632592]
Predicted rank: [0], ambiguousness: [[0.7474309  0.25256905]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.33221878713806]
Predicted rank: [0], ambiguousness: [[0.8340416 0.1659584]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.7996421996651]
Predicted rank: [0], ambiguousness: [[0.7056029  0.29439712]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.51829501669351]
Predicted rank: [0], ambiguousness: [[0.7117067 0.2882933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.39229492436519]
Predicted rank: [0], ambiguousness: [[0.7424556  0.25754437]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.56796554131799]
Predicted rank: [0], ambiguousness: [[0.7881154  0.21188465]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.63580469846131]
Predicted rank: [0], ambiguousness: [[0.87408185 0.12591816]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.62788115897125]
Predicted rank: [0], ambiguousness: [[0.8200298  0.17997022]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.40027526111871]
Predicted rank: [0], ambiguousness: [[0.5892024  0.41079757]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.79470721529648]
Predicted rank: [0], ambiguousness: [[0.69990337 0.3000966 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.89656366939488]
Predicted rank: [0], ambiguousness: [[0.88387233 0.11612768]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.89645037972558]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.36841892017272]
Predicted rank: [0], ambiguousness: [[0.74842095 0.25157908]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.5298233947384]
Predicted rank: [0], ambiguousness: [[0.9143953 0.0856047]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.5333301356113]
Predicted rank: [0], ambiguousness: [[0.8830571  0.11694289]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.63992477744159]
Predicted rank: [0], ambiguousness: [[0.78950226 0.21049775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.68258229233817]
Predicted rank: [0], ambiguousness: [[0.852067   0.14793298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.69893480752323]
Predicted rank: [0], ambiguousness: [[0.90452313 0.09547688]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.49973363183707]
Predicted rank: [0], ambiguousness: [[0.6343535 0.3656465]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.65926812738691]
Predicted rank: [0], ambiguousness: [[0.87472993 0.12527007]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.66439448610377]
Predicted rank: [0], ambiguousness: [[0.76472855 0.23527147]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.83573728426728]
Predicted rank: [0], ambiguousness: [[0.7432046  0.25679538]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.87772424784806]
Predicted rank: [0], ambiguousness: [[0.81832945 0.18167055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.89492765455742]
Predicted rank: [0], ambiguousness: [[0.91254056 0.08745944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.98354768979175]
Predicted rank: [0], ambiguousness: [[0.62005246 0.3799475 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 104.03545252902384]
Predicted rank: [0], ambiguousness: [[0.76945 0.23055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 104.1001771268943]
Predicted rank: [0], ambiguousness: [[0.8763919  0.12360808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 104.13218953497233]
Predicted rank: [0], ambiguousness: [[0.60654813 0.39345187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.66346882503387]
Predicted rank: [0], ambiguousness: [[0.7250762  0.27492377]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.00757403861041]
Predicted rank: [0], ambiguousness: [[0.7527323 0.2472677]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.66088238509941]
Predicted rank: [0], ambiguousness: [[0.7722305  0.22776946]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.82338402008708]
Predicted rank: [0], ambiguousness: [[0.8376424  0.16235761]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.88722236024749]
Predicted rank: [0], ambiguousness: [[0.8846791 0.1153209]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.87860870597032]
Predicted rank: [0], ambiguousness: [[0.8627901  0.13720992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 103.85079282148146]
Predicted rank: [0], ambiguousness: [[0.6951893 0.3048107]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.07063080062213]
Predicted rank: [0], ambiguousness: [[0.7704429  0.22955708]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.13136049760416]
Predicted rank: [0], ambiguousness: [[0.8881938 0.1118062]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.12316556966363]
Predicted rank: [0], ambiguousness: [[0.87863255 0.12136745]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.23619295372163]
Predicted rank: [0], ambiguousness: [[0.6929841 0.3070159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.34283775578001]
Predicted rank: [0], ambiguousness: [[0.8483691  0.15163091]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.33907170289041]
Predicted rank: [0], ambiguousness: [[0.8443303 0.1556697]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.3965562944993]
Predicted rank: [0], ambiguousness: [[0.6269264 0.3730736]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.42404745470834]
Predicted rank: [0], ambiguousness: [[0.775419   0.22458103]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.42493536827754]
Predicted rank: [0], ambiguousness: [[0.8603395  0.13966048]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.63055889761489]
Predicted rank: [0], ambiguousness: [[0.6844049 0.3155951]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.29475735296268]
Predicted rank: [0], ambiguousness: [[0.70430183 0.2956982 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.24173057541236]
Predicted rank: [0], ambiguousness: [[0.74132955 0.25867045]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.42288529930813]
Predicted rank: [0], ambiguousness: [[0.79560435 0.20439564]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.4924668130362]
Predicted rank: [0], ambiguousness: [[0.859324   0.14067604]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.4848508581587]
Predicted rank: [0], ambiguousness: [[0.8336842  0.16631582]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.28795547011174]
Predicted rank: [0], ambiguousness: [[0.58777833 0.41222164]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.6914925859337]
Predicted rank: [0], ambiguousness: [[0.6934799  0.30652013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.79517117274351]
Predicted rank: [0], ambiguousness: [[0.8612757  0.13872433]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.79542222559068]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.28775742133286]
Predicted rank: [0], ambiguousness: [[0.7703093  0.22969069]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.45127450710892]
Predicted rank: [0], ambiguousness: [[0.9033477  0.09665232]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.45506459612989]
Predicted rank: [0], ambiguousness: [[0.8920102  0.10798981]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.56368636275303]
Predicted rank: [0], ambiguousness: [[0.78606045 0.21393955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.60691526200058]
Predicted rank: [0], ambiguousness: [[0.86897945 0.13102058]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.62386962407567]
Predicted rank: [0], ambiguousness: [[0.90807    0.09192996]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.49040554502548]
Predicted rank: [0], ambiguousness: [[0.62727404 0.37272593]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.65004367704181]
Predicted rank: [0], ambiguousness: [[0.85441864 0.1455814 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.65518298573642]
Predicted rank: [0], ambiguousness: [[0.77352023 0.2264798 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 103.82673128728824]
Predicted rank: [0], ambiguousness: [[0.7162715  0.28372845]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 103.86872757579664]
Predicted rank: [0], ambiguousness: [[0.822016   0.17798397]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 103.88595566670801]
Predicted rank: [0], ambiguousness: [[0.9064267  0.09357326]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.97449834357747]
Predicted rank: [0], ambiguousness: [[0.5887338  0.41126618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 104.02641996169983]
Predicted rank: [0], ambiguousness: [[0.77978116 0.22021885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 104.09119552828685]
Predicted rank: [0], ambiguousness: [[0.8715065 0.1284935]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 104.1232821944421]
Predicted rank: [0], ambiguousness: [[0.597968 0.402032]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.58520884780864]
Predicted rank: [0], ambiguousness: [[0.71087706 0.2891229 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.4791988197704]
Predicted rank: [0], ambiguousness: [[0.81464446 0.18535553]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.65358658704893]
Predicted rank: [0], ambiguousness: [[0.80166394 0.19833608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.7210264014814]
Predicted rank: [0], ambiguousness: [[0.8825808  0.11741918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.71304682012848]
Predicted rank: [0], ambiguousness: [[0.8282776  0.17172238]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 100.80637916229148]
Predicted rank: [0], ambiguousness: [[0.5834104 0.4165896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.2932259216137]
Predicted rank: [0], ambiguousness: [[0.6948639  0.30513608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.40900463278314]
Predicted rank: [0], ambiguousness: [[0.873627   0.12637298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.41172200645116]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.10510978287252]
Predicted rank: [0], ambiguousness: [[0.7395362  0.26046377]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.27791362294187]
Predicted rank: [0], ambiguousness: [[0.90461147 0.09538855]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.28287353585674]
Predicted rank: [0], ambiguousness: [[0.8681843  0.13181567]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.40089727767509]
Predicted rank: [0], ambiguousness: [[0.7788439  0.22115609]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.44627211898614]
Predicted rank: [0], ambiguousness: [[0.8377548 0.1622452]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.46599996507575]
Predicted rank: [0], ambiguousness: [[0.9040031  0.09599693]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 100.97419841273012]
Predicted rank: [0], ambiguousness: [[0.5405166  0.45948339]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 101.23353407571753]
Predicted rank: [0], ambiguousness: [[0.814965 0.185035]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 101.25405928440182]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 101.56979495639658]
Predicted rank: [0], ambiguousness: [[0.7300861  0.26991388]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 101.64084827847068]
Predicted rank: [0], ambiguousness: [[0.7831222 0.2168778]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 101.68899465530387]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 102.12795535734637]
Predicted rank: [0], ambiguousness: [[0.718911 0.281089]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 102.20665938845067]
Predicted rank: [0], ambiguousness: [[0.84552914 0.15447088]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 102.31926752108191]
Predicted rank: [0], ambiguousness: [[0.92930603 0.07069398]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 102.4043707352134]
Predicted rank: [0], ambiguousness: [[0.78925437 0.21074562]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.2497363270125]
Predicted rank: [0], ambiguousness: [[0.5968939  0.40310606]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.32817116160605]
Predicted rank: [0], ambiguousness: [[0.6948793  0.30512074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.44115397060222]
Predicted rank: [0], ambiguousness: [[0.89900804 0.10099193]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.5992841476407]
Predicted rank: [0], ambiguousness: [[0.7588163  0.24118368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [102.77180946205068, 103.73014049391443]
Predicted rank: [0], ambiguousness: [[0.599995   0.40000498]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.95976427823271]
Predicted rank: [0], ambiguousness: [[0.7362504  0.26374957]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.31366675982268]
Predicted rank: [0], ambiguousness: [[0.75565416 0.24434584]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.94858102840789]
Predicted rank: [0], ambiguousness: [[0.79851085 0.20148917]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 103.1075794964529]
Predicted rank: [0], ambiguousness: [[0.845218   0.15478198]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.17017769786818]
Predicted rank: [0], ambiguousness: [[0.8902373  0.10976274]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.1613996296221]
Predicted rank: [0], ambiguousness: [[0.8693753 0.1306247]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 104.09379920329881]
Predicted rank: [0], ambiguousness: [[0.72721875 0.27278125]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 104.30999891727465]
Predicted rank: [0], ambiguousness: [[0.7732185  0.22678146]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 104.36985923208846]
Predicted rank: [0], ambiguousness: [[0.88963884 0.11036116]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 104.36155066513801]
Predicted rank: [0], ambiguousness: [[0.88030326 0.11969671]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 104.47165620726656]
Predicted rank: [0], ambiguousness: [[0.6963272 0.3036728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 104.57696465473661]
Predicted rank: [0], ambiguousness: [[0.8672435  0.13275646]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 104.57305223664011]
Predicted rank: [0], ambiguousness: [[0.85216236 0.14783765]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.62949624178657]
Predicted rank: [0], ambiguousness: [[0.6449889  0.35501108]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.65657182827957]
Predicted rank: [0], ambiguousness: [[0.77815175 0.22184826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.65716529465574]
Predicted rank: [0], ambiguousness: [[0.8620887  0.13791132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.93497510867307]
Predicted rank: [0], ambiguousness: [[0.68576247 0.31423753]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.63550163744804]
Predicted rank: [0], ambiguousness: [[0.7131635 0.2868365]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.55167038327012]
Predicted rank: [0], ambiguousness: [[0.7494763  0.25052372]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.72853132069272]
Predicted rank: [0], ambiguousness: [[0.8024971  0.19750293]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.79662845349833]
Predicted rank: [0], ambiguousness: [[0.87268865 0.12731132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.78880561637752]
Predicted rank: [0], ambiguousness: [[0.851315   0.14868496]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.61285891398387]
Predicted rank: [0], ambiguousness: [[0.5981395  0.40186045]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.00687269294653]
Predicted rank: [0], ambiguousness: [[0.70252883 0.29747114]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.10835728227177]
Predicted rank: [0], ambiguousness: [[0.87448204 0.12551793]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.10823324794791]
Predicted rank: [0], ambiguousness: [[0.86612934 0.13387066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.58499442443693]
Predicted rank: [0], ambiguousness: [[0.7778169  0.22218314]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.74548831299126]
Predicted rank: [0], ambiguousness: [[0.9129537  0.08704633]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.74890758721574]
Predicted rank: [0], ambiguousness: [[0.9041687  0.09583127]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.85495046093084]
Predicted rank: [0], ambiguousness: [[0.8002765  0.19972351]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.89729819718468]
Predicted rank: [0], ambiguousness: [[0.883392 0.116608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.91348194560399]
Predicted rank: [0], ambiguousness: [[0.9115916 0.0884084]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.74076791014048]
Predicted rank: [0], ambiguousness: [[0.6372552 0.3627448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.89818979040277]
Predicted rank: [0], ambiguousness: [[0.8681779  0.13182212]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.90304282129964]
Predicted rank: [0], ambiguousness: [[0.79596806 0.20403194]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.07156481398073]
Predicted rank: [0], ambiguousness: [[0.73355305 0.26644695]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.11293166320607]
Predicted rank: [0], ambiguousness: [[0.84064734 0.15935265]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.1296192205142]
Predicted rank: [0], ambiguousness: [[0.91000503 0.08999498]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 104.21550879715771]
Predicted rank: [0], ambiguousness: [[0.6163279  0.38367215]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 104.26673657971115]
Predicted rank: [0], ambiguousness: [[0.80176747 0.19823255]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 104.33047022161409]
Predicted rank: [0], ambiguousness: [[0.87623775 0.12376222]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 104.36150368212354]
Predicted rank: [0], ambiguousness: [[0.60824376 0.39175624]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.91773651429992]
Predicted rank: [0], ambiguousness: [[0.71053857 0.28946143]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.78208154430419]
Predicted rank: [0], ambiguousness: [[0.8149055  0.18509446]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.95242856816569]
Predicted rank: [0], ambiguousness: [[0.8019389  0.19806112]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 103.01846441191088]
Predicted rank: [0], ambiguousness: [[0.8900407  0.10995932]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 103.01029142774794]
Predicted rank: [0], ambiguousness: [[0.84094214 0.15905783]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.15382816477083]
Predicted rank: [0], ambiguousness: [[0.5892024  0.41079757]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.62753696352735]
Predicted rank: [0], ambiguousness: [[0.69990337 0.3000966 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.74059795031525]
Predicted rank: [0], ambiguousness: [[0.88387233 0.11612768]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.74283327493787]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.41183779418301]
Predicted rank: [0], ambiguousness: [[0.74410963 0.25589037]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.58122275282729]
Predicted rank: [0], ambiguousness: [[0.9125961  0.08740391]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.58576207481903]
Predicted rank: [0], ambiguousness: [[0.8806852  0.11931478]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.70080786689321]
Predicted rank: [0], ambiguousness: [[0.7902734 0.2097266]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.74521063695087]
Predicted rank: [0], ambiguousness: [[0.8526517  0.14734827]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.76404932794986]
Predicted rank: [0], ambiguousness: [[0.9060555 0.0939445]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 101.29957027338907]
Predicted rank: [0], ambiguousness: [[0.54644144 0.4535586 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 101.55366543816487]
Predicted rank: [0], ambiguousness: [[0.8290354  0.17096457]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 101.57343588196204]
Predicted rank: [0], ambiguousness: [[0.76472855 0.23527147]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 101.88158476023426]
Predicted rank: [0], ambiguousness: [[0.7432046  0.25679538]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 101.95113650588316]
Predicted rank: [0], ambiguousness: [[0.8018489  0.19815108]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 101.99780900736371]
Predicted rank: [0], ambiguousness: [[0.91254056 0.08745944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 102.42254776533142]
Predicted rank: [0], ambiguousness: [[0.7379368 0.2620632]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 102.49978848223816]
Predicted rank: [0], ambiguousness: [[0.8598317  0.14016834]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 102.60997727613267]
Predicted rank: [0], ambiguousness: [[0.93085885 0.06914116]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 102.69247746855638]
Predicted rank: [0], ambiguousness: [[0.7931989  0.20680113]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.50027909641979]
Predicted rank: [0], ambiguousness: [[0.619811 0.380189]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.57761128294226]
Predicted rank: [0], ambiguousness: [[0.7184864  0.28151357]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.6887644711017]
Predicted rank: [0], ambiguousness: [[0.9011556  0.09884439]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.8436929942095]
Predicted rank: [0], ambiguousness: [[0.7631596  0.23684044]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [102.77180946205068, 103.97084311120224]
Predicted rank: [0], ambiguousness: [[0.6057123  0.39428774]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 103.00376923524291]
Predicted rank: [0], ambiguousness: [[0.7019459 0.2980541]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.72128640380656]
Predicted rank: [0], ambiguousness: [[0.7527323 0.2472677]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.6255392132667]
Predicted rank: [0], ambiguousness: [[0.76096153 0.23903845]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.8010171288641]
Predicted rank: [0], ambiguousness: [[0.8327459  0.16725409]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.86866297297695]
Predicted rank: [0], ambiguousness: [[0.88237935 0.11762066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.86076738137754]
Predicted rank: [0], ambiguousness: [[0.8601228 0.1398772]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.69039386832898]
Predicted rank: [0], ambiguousness: [[0.6129801  0.38701984]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.08125273944998]
Predicted rank: [0], ambiguousness: [[0.75094056 0.24905947]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.18206248564914]
Predicted rank: [0], ambiguousness: [[0.8881938 0.1118062]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.18181155618652]
Predicted rank: [0], ambiguousness: [[0.87863255 0.12136745]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.65254944785454]
Predicted rank: [0], ambiguousness: [[0.82124543 0.17875457]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.81217822535439]
Predicted rank: [0], ambiguousness: [[0.91223073 0.08776926]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.81548488548214]
Predicted rank: [0], ambiguousness: [[0.9098428 0.0901572]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.92073035333112]
Predicted rank: [0], ambiguousness: [[0.80898297 0.19101706]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.9628352671229]
Predicted rank: [0], ambiguousness: [[0.8945548  0.10544521]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.97878238104153]
Predicted rank: [0], ambiguousness: [[0.92384446 0.07615555]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 103.78821399502175]
Predicted rank: [0], ambiguousness: [[0.6916269  0.30837312]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 103.9452376400038]
Predicted rank: [0], ambiguousness: [[0.86713725 0.13286276]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 103.95003722129246]
Predicted rank: [0], ambiguousness: [[0.80667883 0.19332115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 104.11795527518257]
Predicted rank: [0], ambiguousness: [[0.7519693  0.24803074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 104.15921759600367]
Predicted rank: [0], ambiguousness: [[0.8602373 0.1397627]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 104.1758046713428]
Predicted rank: [0], ambiguousness: [[0.92534316 0.07465682]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 104.2611759630546]
Predicted rank: [0], ambiguousness: [[0.64803517 0.3519648 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 104.31229037538472]
Predicted rank: [0], ambiguousness: [[0.8348181  0.16518186]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 104.37584057952364]
Predicted rank: [0], ambiguousness: [[0.8829368  0.11706322]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 104.40666067135142]
Predicted rank: [0], ambiguousness: [[0.65529025 0.34470972]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [102.77180946205068, 101.64006028195789]
Predicted rank: [0], ambiguousness: [[0.70932555 0.29067448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [102.77180946205068, 102.59050724518255]
Predicted rank: [0], ambiguousness: [[0.7703785  0.22962154]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [102.77180946205068, 102.76636552945487]
Predicted rank: [0], ambiguousness: [[0.7941532  0.20584682]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [102.77180946205068, 102.8341756791877]
Predicted rank: [0], ambiguousness: [[0.8771386 0.1228614]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [102.77180946205068, 102.82631439120452]
Predicted rank: [0], ambiguousness: [[0.8215503  0.17844969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 100.88446341440495]
Predicted rank: [0], ambiguousness: [[0.58777833 0.41222164]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.38473638777714]
Predicted rank: [0], ambiguousness: [[0.6934799  0.30652013]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.50229782298521]
Predicted rank: [0], ambiguousness: [[0.8612757  0.13872433]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.50543993181203]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.23757007109522]
Predicted rank: [0], ambiguousness: [[0.7589749  0.24102506]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.4112515490757]
Predicted rank: [0], ambiguousness: [[0.89770645 0.10229356]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.41635064834539]
Predicted rank: [0], ambiguousness: [[0.88579094 0.11420909]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.53548383184244]
Predicted rank: [0], ambiguousness: [[0.7800169  0.21998309]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.5809913045872]
Predicted rank: [0], ambiguousness: [[0.86487556 0.13512443]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.60107359754457]
Predicted rank: [0], ambiguousness: [[0.90618724 0.09381274]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 101.15600315647188]
Predicted rank: [0], ambiguousness: [[0.53889704 0.46110296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 101.41480468865564]
Predicted rank: [0], ambiguousness: [[0.8029839  0.19701609]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 101.43529752247164]
Predicted rank: [0], ambiguousness: [[0.77352023 0.2264798 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 101.7512443888554]
Predicted rank: [0], ambiguousness: [[0.7162715  0.28372845]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 101.82208483589417]
Predicted rank: [0], ambiguousness: [[0.8057906  0.19420941]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 101.87016173003522]
Predicted rank: [0], ambiguousness: [[0.9064267  0.09357326]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 102.31448339916548]
Predicted rank: [0], ambiguousness: [[0.7350306 0.2649694]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 102.39277756526283]
Predicted rank: [0], ambiguousness: [[0.87965196 0.12034803]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 102.50486918850021]
Predicted rank: [0], ambiguousness: [[0.9305925  0.06940752]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 102.58960991170218]
Predicted rank: [0], ambiguousness: [[0.8060522  0.19394782]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [102.77180946205068, 103.46209397946544]
Predicted rank: [0], ambiguousness: [[0.5801823  0.41981772]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [102.77180946205068, 103.53955783386445]
Predicted rank: [0], ambiguousness: [[0.72351456 0.27648544]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [102.77180946205068, 103.65097946103651]
Predicted rank: [0], ambiguousness: [[0.89713407 0.10286595]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [102.77180946205068, 103.80643707723075]
Predicted rank: [0], ambiguousness: [[0.75662434 0.24337566]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [102.77180946205068, 103.93391436260366]
Predicted rank: [0], ambiguousness: [[0.60532224 0.3946778 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [102.77180946205068, 101.15000316458038]
Predicted rank: [0], ambiguousness: [[0.6123434  0.38765663]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [102.77180946205068, 101.63185893559329]
Predicted rank: [0], ambiguousness: [[0.69905424 0.3009458 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [102.77180946205068, 101.74569955776995]
Predicted rank: [0], ambiguousness: [[0.8727678  0.12723216]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 6]
Costs: [102.77180946205068, 101.74811194174815]
Predicted rank: [0], ambiguousness: [[0.8348644 0.1651356]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [102.77180946205068, 102.44246975752]
Predicted rank: [0], ambiguousness: [[0.78999096 0.21000904]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [102.77180946205068, 102.61154866938531]
Predicted rank: [0], ambiguousness: [[0.9284317  0.07156833]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 0, 1, 2, 6]
Costs: [102.77180946205068, 102.61604754876535]
Predicted rank: [0], ambiguousness: [[0.9113785  0.08862152]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [102.77180946205068, 102.73071387332229]
Predicted rank: [0], ambiguousness: [[0.7967243  0.20327571]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 2, 0, 2, 6]
Costs: [102.77180946205068, 102.77502010168217]
Predicted rank: [0], ambiguousness: [[0.8517787 0.1482213]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 2, 1, 6]
Costs: [102.77180946205068, 102.79378711786211]
Predicted rank: [0], ambiguousness: [[0.91821074 0.08178926]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [102.77180946205068, 100.622677875708]
Predicted rank: [0], ambiguousness: [[0.5405166  0.45948339]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [102.77180946205068, 100.91843753742559]
Predicted rank: [0], ambiguousness: [[0.814965 0.185035]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 6]
Costs: [102.77180946205068, 100.94425669922272]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [102.77180946205068, 101.33415755469147]
Predicted rank: [0], ambiguousness: [[0.7300861  0.26991388]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 6]
Costs: [102.77180946205068, 101.41307355356079]
Predicted rank: [0], ambiguousness: [[0.7831222 0.2168778]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 6]
Costs: [102.77180946205068, 101.47085479493661]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [102.77180946205068, 102.11288701034178]
Predicted rank: [0], ambiguousness: [[0.714287   0.28571302]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 6]
Costs: [102.77180946205068, 102.19534418629715]
Predicted rank: [0], ambiguousness: [[0.8425318  0.15746821]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 2, 1, 6]
Costs: [102.77180946205068, 102.31592410012875]
Predicted rank: [0], ambiguousness: [[0.92779547 0.07220453]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 1, 1, 6]
Costs: [102.77180946205068, 102.41087942959794]
Predicted rank: [0], ambiguousness: [[0.7900262  0.20997384]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [102.77180946205068, 100.90302707054943]
Predicted rank: [0], ambiguousness: [[0.5069752 0.4930248]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 2, 6]
Costs: [102.77180946205068, 101.02968328730915]
Predicted rank: [0], ambiguousness: [[0.6948793  0.30512074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 1, 6]
Costs: [102.77180946205068, 101.22721746524485]
Predicted rank: [0], ambiguousness: [[0.8607598  0.13924022]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 1, 6]
Costs: [102.77180946205068, 101.5364994778001]
Predicted rank: [0], ambiguousness: [[0.7588163  0.24118368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 1, 6]
Costs: [102.77180946205068, 102.06885645750114]
Predicted rank: [0], ambiguousness: [[0.73362875 0.26637122]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 1, 6]
Costs: [102.77180946205068, 103.14920692092372]
Predicted rank: [0], ambiguousness: [[0.6228914  0.37710857]]
Running local search 6
Switching 6 patient(s). Size of neighborhood: 38760
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 106.35007921031041]
Predicted rank: [0], ambiguousness: [[0.6826514  0.31734857]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 106.12394028389275]
Predicted rank: [0], ambiguousness: [[0.68736434 0.31263563]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 106.18477769605215]
Predicted rank: [0], ambiguousness: [[0.6840842  0.31591582]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.9787146489775]
Predicted rank: [0], ambiguousness: [[0.78098834 0.21901165]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.65393209175052]
Predicted rank: [0], ambiguousness: [[0.8013842  0.19861579]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.95364581511518]
Predicted rank: [0], ambiguousness: [[0.70779395 0.29220605]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 106.08186953223178]
Predicted rank: [0], ambiguousness: [[0.7428644 0.2571356]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 106.13676812125027]
Predicted rank: [0], ambiguousness: [[0.86237884 0.13762113]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 106.12160281779681]
Predicted rank: [0], ambiguousness: [[0.694046   0.30595398]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.91528619323057]
Predicted rank: [0], ambiguousness: [[0.699559 0.300441]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.71490784216084]
Predicted rank: [0], ambiguousness: [[0.79781854 0.20218149]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.43983734582451]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.7425895790136]
Predicted rank: [0], ambiguousness: [[0.728292   0.27170798]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.871828074327]
Predicted rank: [0], ambiguousness: [[0.76173043 0.23826957]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.92708252207314]
Predicted rank: [0], ambiguousness: [[0.87807524 0.12192475]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.91195479664583]
Predicted rank: [0], ambiguousness: [[0.7269482 0.2730518]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 106.15640097058153]
Predicted rank: [0], ambiguousness: [[0.74032116 0.25967884]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.68362200164782]
Predicted rank: [0], ambiguousness: [[0.80182123 0.1981788 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.50155858937876]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.80343117595146]
Predicted rank: [0], ambiguousness: [[0.7252696  0.27473038]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.93248615701071]
Predicted rank: [0], ambiguousness: [[0.7599471 0.2400529]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.98766328795152]
Predicted rank: [0], ambiguousness: [[0.8639284  0.13607161]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.97253353422741]
Predicted rank: [0], ambiguousness: [[0.7308166  0.26918343]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.49535191621018]
Predicted rank: [0], ambiguousness: [[0.7968478  0.20315221]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.54318641919745]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.43023127671393]
Predicted rank: [0], ambiguousness: [[0.8221217 0.1778783]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.64984586349402]
Predicted rank: [0], ambiguousness: [[0.8754736  0.12452637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.7354774883485]
Predicted rank: [0], ambiguousness: [[0.9152582  0.08474175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.72544395688979]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024869]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.05349700333014]
Predicted rank: [0], ambiguousness: [[0.8202653  0.17973469]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.3504988979487]
Predicted rank: [0], ambiguousness: [[0.8209355 0.1790645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.43155130507796]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.42211384445275]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.58296325344696]
Predicted rank: [0], ambiguousness: [[0.72705966 0.27294034]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.72399370101658]
Predicted rank: [0], ambiguousness: [[0.890542   0.10945804]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.72022180374111]
Predicted rank: [0], ambiguousness: [[0.79035723 0.20964278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.79904923093085]
Predicted rank: [0], ambiguousness: [[0.740632 0.259368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.83568464246653]
Predicted rank: [0], ambiguousness: [[0.69275665 0.30724332]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.83903620873974]
Predicted rank: [0], ambiguousness: [[0.8350746 0.1649254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.8899270888719]
Predicted rank: [0], ambiguousness: [[0.7209087 0.2790913]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.37030972845423]
Predicted rank: [0], ambiguousness: [[0.80105627 0.19894376]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.27549881623904]
Predicted rank: [0], ambiguousness: [[0.81400096 0.185999  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.58074120331037]
Predicted rank: [0], ambiguousness: [[0.72431076 0.27568924]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.71094901972769]
Predicted rank: [0], ambiguousness: [[0.7590691  0.24093089]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.76652746101684]
Predicted rank: [0], ambiguousness: [[0.8716725  0.12832749]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.75144157156211]
Predicted rank: [0], ambiguousness: [[0.7561627  0.24383728]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.25598134629765]
Predicted rank: [0], ambiguousness: [[0.80068606 0.19931392]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.30424581381409]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.20963867408767]
Predicted rank: [0], ambiguousness: [[0.825587   0.17441303]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.43225500682044]
Predicted rank: [0], ambiguousness: [[0.8780538  0.12194625]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.51889549504187]
Predicted rank: [0], ambiguousness: [[0.9224281  0.07757191]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.50900983189072]
Predicted rank: [0], ambiguousness: [[0.817377   0.18262301]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.8819352364566]
Predicted rank: [0], ambiguousness: [[0.82375896 0.17624101]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.18137754867227]
Predicted rank: [0], ambiguousness: [[0.82441896 0.17558102]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.26295267391822]
Predicted rank: [0], ambiguousness: [[0.9250584  0.07494159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.25359046105453]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.4164676124416]
Predicted rank: [0], ambiguousness: [[0.73177266 0.26822734]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.55828787769535]
Predicted rank: [0], ambiguousness: [[0.89957356 0.10042644]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.55460773185214]
Predicted rank: [0], ambiguousness: [[0.80861187 0.19138812]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.63413989628819]
Predicted rank: [0], ambiguousness: [[0.75341105 0.24658893]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.67100988274106]
Predicted rank: [0], ambiguousness: [[0.71646106 0.2835389 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.6745525994707]
Predicted rank: [0], ambiguousness: [[0.8383372  0.16166285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.68742522163019]
Predicted rank: [0], ambiguousness: [[0.8255372  0.17446278]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.50924690268104]
Predicted rank: [0], ambiguousness: [[0.84272707 0.15727296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.8110657175621]
Predicted rank: [0], ambiguousness: [[0.7365442 0.2634558]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.94010253193585]
Predicted rank: [0], ambiguousness: [[0.8008871  0.19911286]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.99527310295741]
Predicted rank: [0], ambiguousness: [[0.88565105 0.11434896]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.9801426944641]
Predicted rank: [0], ambiguousness: [[0.77628374 0.22371629]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.10407971585387]
Predicted rank: [0], ambiguousness: [[0.7982459  0.20175411]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.22153017670576]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.15986393345318]
Predicted rank: [0], ambiguousness: [[0.82915765 0.17084233]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.38610113229541]
Predicted rank: [0], ambiguousness: [[0.8812738  0.11872617]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.47388495507789]
Predicted rank: [0], ambiguousness: [[0.91606206 0.08393795]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.46420109041695]
Predicted rank: [0], ambiguousness: [[0.8367599  0.16324009]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.93379649208123]
Predicted rank: [0], ambiguousness: [[0.8215383  0.17846169]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.23293390945489]
Predicted rank: [0], ambiguousness: [[0.82299584 0.17700417]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.31440354863173]
Predicted rank: [0], ambiguousness: [[0.91584045 0.08415955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.30503165285886]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.46727162411453]
Predicted rank: [0], ambiguousness: [[0.7365322  0.26346782]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.6089572152784]
Predicted rank: [0], ambiguousness: [[0.88760185 0.11239817]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.60526524661793]
Predicted rank: [0], ambiguousness: [[0.81615794 0.18384208]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.68471231015077]
Predicted rank: [0], ambiguousness: [[0.7422918  0.25770816]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.72153090690705]
Predicted rank: [0], ambiguousness: [[0.72151136 0.27848864]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.72505608392404]
Predicted rank: [0], ambiguousness: [[0.82801384 0.17198618]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.4869733910607]
Predicted rank: [0], ambiguousness: [[0.82311034 0.17688969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.70051608186154]
Predicted rank: [0], ambiguousness: [[0.81341714 0.18658285]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.94401828571091]
Predicted rank: [0], ambiguousness: [[0.81876755 0.18123245]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.18678069928976]
Predicted rank: [0], ambiguousness: [[0.8759793  0.12402068]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.2795159749833]
Predicted rank: [0], ambiguousness: [[0.9166342  0.08336579]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.2706818288311]
Predicted rank: [0], ambiguousness: [[0.8025983  0.19740172]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.59819904710886]
Predicted rank: [0], ambiguousness: [[0.7318336  0.26816645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.1437906440571]
Predicted rank: [0], ambiguousness: [[0.804635   0.19536501]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.28308071728617]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.28486243399433]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.95768363267435]
Predicted rank: [0], ambiguousness: [[0.82870054 0.17129944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.17622537364873]
Predicted rank: [0], ambiguousness: [[0.93316835 0.06683167]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.18254136888729]
Predicted rank: [0], ambiguousness: [[0.87076825 0.12923175]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.33076114051511]
Predicted rank: [0], ambiguousness: [[0.8652512  0.13474882]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.38873619723717]
Predicted rank: [0], ambiguousness: [[0.83712226 0.16287775]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.413763245882]
Predicted rank: [0], ambiguousness: [[0.90244085 0.09755918]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.60307047595374]
Predicted rank: [0], ambiguousness: [[0.7991143 0.2008857]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.81568177572196]
Predicted rank: [0], ambiguousness: [[0.92790335 0.07209662]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.82378915368207]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.05717090087356]
Predicted rank: [0], ambiguousness: [[0.8216786 0.1783214]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.11323473611134]
Predicted rank: [0], ambiguousness: [[0.80077326 0.19922672]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.13839434179076]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.26715371014029]
Predicted rank: [0], ambiguousness: [[0.70740134 0.29259866]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.3358441463684]
Predicted rank: [0], ambiguousness: [[0.7486212  0.25137874]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.42329013826921]
Predicted rank: [0], ambiguousness: [[0.8737817  0.12621829]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.47075583310937]
Predicted rank: [0], ambiguousness: [[0.60083497 0.39916503]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.55592728541544]
Predicted rank: [0], ambiguousness: [[0.81707937 0.18292063]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 105.42911505790454]
Predicted rank: [0], ambiguousness: [[0.82920384 0.17079617]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.7322656810786]
Predicted rank: [0], ambiguousness: [[0.74454385 0.25545615]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.86175874702792]
Predicted rank: [0], ambiguousness: [[0.7846855 0.2153145]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.9170795248366]
Predicted rank: [0], ambiguousness: [[0.87514937 0.12485065]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.90196835102361]
Predicted rank: [0], ambiguousness: [[0.7586834 0.2413166]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.96534415600799]
Predicted rank: [0], ambiguousness: [[0.79747057 0.2025294 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.1008140829839]
Predicted rank: [0], ambiguousness: [[0.81400096 0.185999  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.05718209875509]
Predicted rank: [0], ambiguousness: [[0.82847565 0.17152436]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.28588100787694]
Predicted rank: [0], ambiguousness: [[0.88076997 0.11923004]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.37446554085093]
Predicted rank: [0], ambiguousness: [[0.92111003 0.07888995]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.36490969605588]
Predicted rank: [0], ambiguousness: [[0.85412174 0.14587826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 104.88187979208615]
Predicted rank: [0], ambiguousness: [[0.82083243 0.17916755]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.18221767679593]
Predicted rank: [0], ambiguousness: [[0.8222945  0.17770554]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.26392358704345]
Predicted rank: [0], ambiguousness: [[0.9209007  0.07909933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.2545890960744]
Predicted rank: [0], ambiguousness: [[0.86612934 0.13387066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.41777533999414]
Predicted rank: [0], ambiguousness: [[0.7355983 0.2644017]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.55981803406841]
Predicted rank: [0], ambiguousness: [[0.8941637 0.1058363]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.55617030215969]
Predicted rank: [0], ambiguousness: [[0.8352796 0.1647204]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.63596612265533]
Predicted rank: [0], ambiguousness: [[0.7496714 0.2503286]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.67288646780881]
Predicted rank: [0], ambiguousness: [[0.7474309  0.25256905]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.67650560574364]
Predicted rank: [0], ambiguousness: [[0.8340416 0.1659584]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.43735576579894]
Predicted rank: [0], ambiguousness: [[0.82336205 0.17663795]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.63315654909391]
Predicted rank: [0], ambiguousness: [[0.8170143  0.18298574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.89412863993252]
Predicted rank: [0], ambiguousness: [[0.82228404 0.17771597]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.13875658411412]
Predicted rank: [0], ambiguousness: [[0.8785504  0.12144962]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.2320917347897]
Predicted rank: [0], ambiguousness: [[0.92369735 0.07630266]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.22335379359362]
Predicted rank: [0], ambiguousness: [[0.8200298  0.17997022]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.54804627627506]
Predicted rank: [0], ambiguousness: [[0.736494 0.263506]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.09753321965337]
Predicted rank: [0], ambiguousness: [[0.80836153 0.19163844]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.23763989072003]
Predicted rank: [0], ambiguousness: [[0.9250584  0.07494159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.2395738569336]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.91979342050305]
Predicted rank: [0], ambiguousness: [[0.83206385 0.16793616]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.1393772313306]
Predicted rank: [0], ambiguousness: [[0.93892395 0.06107605]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.14582760201088]
Predicted rank: [0], ambiguousness: [[0.8830571  0.11694289]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.29502889413924]
Predicted rank: [0], ambiguousness: [[0.8729435  0.12705645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.3532920712062]
Predicted rank: [0], ambiguousness: [[0.852067   0.14793298]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.37860562322786]
Predicted rank: [0], ambiguousness: [[0.90452313 0.09547688]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.58947770842775]
Predicted rank: [0], ambiguousness: [[0.80292034 0.19707966]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.80257173179872]
Predicted rank: [0], ambiguousness: [[0.9340804  0.06591959]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.81074428426832]
Predicted rank: [0], ambiguousness: [[0.76472855 0.23527147]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.04490617075518]
Predicted rank: [0], ambiguousness: [[0.83137363 0.16862637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.1010911630274]
Predicted rank: [0], ambiguousness: [[0.81832945 0.18167055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.12637376487677]
Predicted rank: [0], ambiguousness: [[0.91254056 0.08745944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.25583300755383]
Predicted rank: [0], ambiguousness: [[0.72691035 0.27308968]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.32465192487051]
Predicted rank: [0], ambiguousness: [[0.76945 0.23055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.41231446137954]
Predicted rank: [0], ambiguousness: [[0.8763919  0.12360808]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.46005609144018]
Predicted rank: [0], ambiguousness: [[0.60654813 0.39345187]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.2375515936248]
Predicted rank: [0], ambiguousness: [[0.82229495 0.17770508]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.36992814702039]
Predicted rank: [0], ambiguousness: [[0.84272707 0.15727296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.30174097356903]
Predicted rank: [0], ambiguousness: [[0.83712626 0.16287374]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.52674750112163]
Predicted rank: [0], ambiguousness: [[0.9005169 0.0994831]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.61410456976131]
Predicted rank: [0], ambiguousness: [[0.9274215  0.07257848]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.60436247107748]
Predicted rank: [0], ambiguousness: [[0.8627901  0.13720992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.05816692824595]
Predicted rank: [0], ambiguousness: [[0.82978934 0.17021066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.35611168542397]
Predicted rank: [0], ambiguousness: [[0.8552315  0.14476848]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.43731144207638]
Predicted rank: [0], ambiguousness: [[0.9299478  0.07005222]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.4279031798061]
Predicted rank: [0], ambiguousness: [[0.87863255 0.12136745]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.58917371408052]
Predicted rank: [0], ambiguousness: [[0.79184115 0.20815884]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.73044670336093]
Predicted rank: [0], ambiguousness: [[0.893303   0.10669702]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.72670894522487]
Predicted rank: [0], ambiguousness: [[0.8443303 0.1556697]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.80581337183241]
Predicted rank: [0], ambiguousness: [[0.7673269  0.23267312]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.84250706900193]
Predicted rank: [0], ambiguousness: [[0.775419   0.22458103]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.84593733407286]
Predicted rank: [0], ambiguousness: [[0.8603395  0.13966048]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.19283157324315]
Predicted rank: [0], ambiguousness: [[0.8083401  0.19165993]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.30203789800885]
Predicted rank: [0], ambiguousness: [[0.81472766 0.1852723 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.67877397288157]
Predicted rank: [0], ambiguousness: [[0.8200488  0.17995118]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.93196179712615]
Predicted rank: [0], ambiguousness: [[0.8775008 0.1224992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.02801504840885]
Predicted rank: [0], ambiguousness: [[0.9143275  0.08567248]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.0197467393127]
Predicted rank: [0], ambiguousness: [[0.8336842  0.16631582]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.3940619785973]
Predicted rank: [0], ambiguousness: [[0.73352945 0.26647055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 101.95760913278085]
Predicted rank: [0], ambiguousness: [[0.80683875 0.19316126]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.10051145575136]
Predicted rank: [0], ambiguousness: [[0.91584045 0.08415955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.10299725316145]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.81498130316929]
Predicted rank: [0], ambiguousness: [[0.84089917 0.15910083]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.03778641899423]
Predicted rank: [0], ambiguousness: [[0.9338145  0.06618547]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.04466186070363]
Predicted rank: [0], ambiguousness: [[0.8920102  0.10798981]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.19695494253781]
Predicted rank: [0], ambiguousness: [[0.87084913 0.12915085]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.25608204259382]
Predicted rank: [0], ambiguousness: [[0.86897945 0.13102058]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.28230795623051]
Predicted rank: [0], ambiguousness: [[0.90807    0.09192996]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 104.59598149464142]
Predicted rank: [0], ambiguousness: [[0.8013649  0.19863507]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 104.80911089510795]
Predicted rank: [0], ambiguousness: [[0.9258833  0.07411671]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 104.81728710847236]
Predicted rank: [0], ambiguousness: [[0.77352023 0.2264798 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.05158123691803]
Predicted rank: [0], ambiguousness: [[0.82294375 0.17705625]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.1077462053424]
Predicted rank: [0], ambiguousness: [[0.822016   0.17798397]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.13303588931694]
Predicted rank: [0], ambiguousness: [[0.9064267  0.09357326]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.2621851030796]
Predicted rank: [0], ambiguousness: [[0.7161903  0.28380972]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.33099337839843]
Predicted rank: [0], ambiguousness: [[0.77978116 0.22021885]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.41867811597997]
Predicted rank: [0], ambiguousness: [[0.8715065 0.1284935]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.46646985988093]
Predicted rank: [0], ambiguousness: [[0.597968 0.402032]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.77778916486153]
Predicted rank: [0], ambiguousness: [[0.8164096  0.18359044]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.06473729632481]
Predicted rank: [0], ambiguousness: [[0.88309425 0.11690577]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.30684181005182]
Predicted rank: [0], ambiguousness: [[0.8871443  0.11285568]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.39938248956119]
Predicted rank: [0], ambiguousness: [[0.92911905 0.07088096]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.39053556346991]
Predicted rank: [0], ambiguousness: [[0.8282776  0.17172238]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 100.71231234477366]
Predicted rank: [0], ambiguousness: [[0.7318336  0.26816645]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 101.39817921249693]
Predicted rank: [0], ambiguousness: [[0.804635   0.19536501]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 101.55873063221657]
Predicted rank: [0], ambiguousness: [[0.9181101  0.08188992]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 101.56477170988829]
Predicted rank: [0], ambiguousness: [[0.83211094 0.16788906]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.57198412171635]
Predicted rank: [0], ambiguousness: [[0.8254441  0.17455591]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 102.80820092921584]
Predicted rank: [0], ambiguousness: [[0.93173426 0.06826574]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 102.8167378824773]
Predicted rank: [0], ambiguousness: [[0.8681843  0.13181567]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 102.98256826661103]
Predicted rank: [0], ambiguousness: [[0.865792   0.13420801]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.0447616355473]
Predicted rank: [0], ambiguousness: [[0.8377548 0.1622452]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.0749783782359]
Predicted rank: [0], ambiguousness: [[0.9040031  0.09599693]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 101.03517579849199]
Predicted rank: [0], ambiguousness: [[0.7040309 0.2959691]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 101.39083364532982]
Predicted rank: [0], ambiguousness: [[0.88500655 0.11499345]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 101.42070007077706]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 101.86174909529505]
Predicted rank: [0], ambiguousness: [[0.8216786 0.1783214]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 101.9592858239514]
Predicted rank: [0], ambiguousness: [[0.7831222 0.2168778]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 102.02840612795481]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 102.66196374884134]
Predicted rank: [0], ambiguousness: [[0.8004843  0.19951569]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 102.76876266853705]
Predicted rank: [0], ambiguousness: [[0.84552914 0.15447088]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 102.92434022896583]
Predicted rank: [0], ambiguousness: [[0.92930603 0.07069398]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 103.04713190048122]
Predicted rank: [0], ambiguousness: [[0.78925437 0.21074562]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 8]
Costs: [102.77180946205068, 104.31352265041846]
Predicted rank: [0], ambiguousness: [[0.76609457 0.23390542]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 7]
Costs: [102.77180946205068, 104.41804983845196]
Predicted rank: [0], ambiguousness: [[0.6948793  0.30512074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 7]
Costs: [102.77180946205068, 104.57093099628261]
Predicted rank: [0], ambiguousness: [[0.89900804 0.10099193]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 7]
Costs: [102.77180946205068, 104.78986282313194]
Predicted rank: [0], ambiguousness: [[0.7588163  0.24118368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.97877624110902]
Predicted rank: [0], ambiguousness: [[0.599995   0.40000498]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.82959862197583]
Predicted rank: [0], ambiguousness: [[0.8304417  0.16955826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.97943611673975]
Predicted rank: [0], ambiguousness: [[0.84480476 0.15519525]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.87365932054648]
Predicted rank: [0], ambiguousness: [[0.8573024  0.14269757]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 104.09159900324987]
Predicted rank: [0], ambiguousness: [[0.9054898 0.0945102]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 104.17646310713647]
Predicted rank: [0], ambiguousness: [[0.9310801 0.0689199]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 104.1664078306598]
Predicted rank: [0], ambiguousness: [[0.8693753 0.1306247]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 105.53831541248034]
Predicted rank: [0], ambiguousness: [[0.8507123  0.14928772]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 105.8290308383865]
Predicted rank: [0], ambiguousness: [[0.857172   0.14282799]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 105.90851287960858]
Predicted rank: [0], ambiguousness: [[0.9308952  0.06910481]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 105.89889278997018]
Predicted rank: [0], ambiguousness: [[0.88030326 0.11969671]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 106.05437348809076]
Predicted rank: [0], ambiguousness: [[0.79442716 0.20557284]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 106.19299784540803]
Predicted rank: [0], ambiguousness: [[0.90719604 0.09280394]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 106.18898291515065]
Predicted rank: [0], ambiguousness: [[0.85216236 0.14783765]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 106.26601872328406]
Predicted rank: [0], ambiguousness: [[0.78096676 0.21903327]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 106.30189830111411]
Predicted rank: [0], ambiguousness: [[0.77815175 0.22184826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 106.30475711956262]
Predicted rank: [0], ambiguousness: [[0.8620887  0.13791132]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.79855326160481]
Predicted rank: [0], ambiguousness: [[0.80931306 0.19068697]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 101.98224180646741]
Predicted rank: [0], ambiguousness: [[0.81400096 0.185999  ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.2948264494537]
Predicted rank: [0], ambiguousness: [[0.8193383  0.18066165]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.53926621468474]
Predicted rank: [0], ambiguousness: [[0.87698317 0.12301686]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.63230591303422]
Predicted rank: [0], ambiguousness: [[0.91947067 0.08052932]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.62363609682471]
Predicted rank: [0], ambiguousness: [[0.851315   0.14868496]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.03882906200066]
Predicted rank: [0], ambiguousness: [[0.7325888  0.26741117]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.583045432297]
Predicted rank: [0], ambiguousness: [[0.80608845 0.19391152]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.72151946356408]
Predicted rank: [0], ambiguousness: [[0.9209007  0.07909933]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.72326891648098]
Predicted rank: [0], ambiguousness: [[0.86612934 0.13387066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 103.40342096201077]
Predicted rank: [0], ambiguousness: [[0.84025496 0.15974504]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.62012672596862]
Predicted rank: [0], ambiguousness: [[0.93786734 0.06213267]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.62627516803985]
Predicted rank: [0], ambiguousness: [[0.9041687  0.09583127]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.77335960015093]
Predicted rank: [0], ambiguousness: [[0.8751665  0.12483354]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.83072554227536]
Predicted rank: [0], ambiguousness: [[0.883392 0.116608]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.85541591990093]
Predicted rank: [0], ambiguousness: [[0.9115916 0.0884084]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.08839917264179]
Predicted rank: [0], ambiguousness: [[0.8005986  0.19940136]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.29712515020918]
Predicted rank: [0], ambiguousness: [[0.93038553 0.06961447]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.304748006832]
Predicted rank: [0], ambiguousness: [[0.79596806 0.20403194]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.53301502226562]
Predicted rank: [0], ambiguousness: [[0.8285472 0.1714528]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.58794088443075]
Predicted rank: [0], ambiguousness: [[0.84064734 0.15935265]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.6121722412316]
Predicted rank: [0], ambiguousness: [[0.91000503 0.08999498]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.7360615633211]
Predicted rank: [0], ambiguousness: [[0.729712   0.27028802]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.80350280570048]
Predicted rank: [0], ambiguousness: [[0.80176747 0.19823255]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.8891288827162]
Predicted rank: [0], ambiguousness: [[0.87623775 0.12376222]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.93484204711697]
Predicted rank: [0], ambiguousness: [[0.60824376 0.39175624]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.43259387152068]
Predicted rank: [0], ambiguousness: [[0.81616265 0.18383737]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.65981558195688]
Predicted rank: [0], ambiguousness: [[0.8832727  0.11672729]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.89385051456995]
Predicted rank: [0], ambiguousness: [[0.8873174 0.1126826]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.9835934306423]
Predicted rank: [0], ambiguousness: [[0.93384385 0.06615615]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.97438027423819]
Predicted rank: [0], ambiguousness: [[0.84094214 0.15905783]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.3971002233406]
Predicted rank: [0], ambiguousness: [[0.736494 0.263506]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.05654336360837]
Predicted rank: [0], ambiguousness: [[0.80836153 0.19163844]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.21165450771858]
Predicted rank: [0], ambiguousness: [[0.9250584  0.07494159]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.21675465868859]
Predicted rank: [0], ambiguousness: [[0.8474317 0.1525683]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 103.1748162742003]
Predicted rank: [0], ambiguousness: [[0.82885814 0.17114186]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.40418988402675]
Predicted rank: [0], ambiguousness: [[0.93760514 0.06239487]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.41190801064619]
Predicted rank: [0], ambiguousness: [[0.8806852  0.11931478]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.5717794309315]
Predicted rank: [0], ambiguousness: [[0.873458   0.12654197]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.63204423032641]
Predicted rank: [0], ambiguousness: [[0.8526517  0.14734827]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.66050258449938]
Predicted rank: [0], ambiguousness: [[0.9060555 0.0939445]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 101.67506112787807]
Predicted rank: [0], ambiguousness: [[0.7089824 0.2910176]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 102.02024256816583]
Predicted rank: [0], ambiguousness: [[0.89444077 0.10555923]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 102.04862781647978]
Predicted rank: [0], ambiguousness: [[0.76472855 0.23527147]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 102.4744931482713]
Predicted rank: [0], ambiguousness: [[0.83137363 0.16862637]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 102.56904488149422]
Predicted rank: [0], ambiguousness: [[0.8018489  0.19815108]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 102.63524713836864]
Predicted rank: [0], ambiguousness: [[0.91254056 0.08745944]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 103.24029583333953]
Predicted rank: [0], ambiguousness: [[0.8154065  0.18459351]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 103.34418884131213]
Predicted rank: [0], ambiguousness: [[0.8598317  0.14016834]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 103.49495150375033]
Predicted rank: [0], ambiguousness: [[0.93085885 0.06914116]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 103.61257692877543]
Predicted rank: [0], ambiguousness: [[0.7931989  0.20680113]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 8]
Costs: [102.77180946205068, 104.80351800459515]
Predicted rank: [0], ambiguousness: [[0.7828912 0.2171088]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 7]
Costs: [102.77180946205068, 104.90587007652445]
Predicted rank: [0], ambiguousness: [[0.7184864  0.28151357]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.0551342180674]
Predicted rank: [0], ambiguousness: [[0.9011556  0.09884439]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.26772666050026]
Predicted rank: [0], ambiguousness: [[0.7631596  0.23684044]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 7]
Costs: [102.77180946205068, 105.44933333192225]
Predicted rank: [0], ambiguousness: [[0.6057123  0.39428774]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [102.77180946205068, 103.9182188839452]
Predicted rank: [0], ambiguousness: [[0.8207964  0.17920366]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.1308810946182]
Predicted rank: [0], ambiguousness: [[0.84272707 0.15727296]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.42237513547443]
Predicted rank: [0], ambiguousness: [[0.82835436 0.17164567]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.66440369935029]
Predicted rank: [0], ambiguousness: [[0.89728415 0.10271588]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.75665693184789]
Predicted rank: [0], ambiguousness: [[0.9259027  0.07409726]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.74786479268585]
Predicted rank: [0], ambiguousness: [[0.8601228 0.1398772]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 102.17215855288075]
Predicted rank: [0], ambiguousness: [[0.74458444 0.25541556]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.71091836630374]
Predicted rank: [0], ambiguousness: [[0.84145004 0.15854995]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.84822833208557]
Predicted rank: [0], ambiguousness: [[0.9299478  0.07005222]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.84976389702109]
Predicted rank: [0], ambiguousness: [[0.87863255 0.12136745]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 103.51949529392977]
Predicted rank: [0], ambiguousness: [[0.8734646 0.1265354]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.73470652440801]
Predicted rank: [0], ambiguousness: [[0.93733716 0.06266287]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.74066502972792]
Predicted rank: [0], ambiguousness: [[0.9098428 0.0901572]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.88637501739916]
Predicted rank: [0], ambiguousness: [[0.8810934 0.1189066]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.94332430629036]
Predicted rank: [0], ambiguousness: [[0.8945548  0.10544521]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.96761059294809]
Predicted rank: [0], ambiguousness: [[0.92384446 0.07615555]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 105.16979207166135]
Predicted rank: [0], ambiguousness: [[0.8367586  0.16324139]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 105.37783475113986]
Predicted rank: [0], ambiguousness: [[0.9297963  0.07020373]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 105.38536794003235]
Predicted rank: [0], ambiguousness: [[0.80667883 0.19332115]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 105.61259923093922]
Predicted rank: [0], ambiguousness: [[0.8418135  0.15818648]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 105.6673469600048]
Predicted rank: [0], ambiguousness: [[0.8602373 0.1397627]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 105.69140801095448]
Predicted rank: [0], ambiguousness: [[0.92534316 0.07465682]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 105.81441426068253]
Predicted rank: [0], ambiguousness: [[0.7557623 0.2442377]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 105.88166209065525]
Predicted rank: [0], ambiguousness: [[0.8348181  0.16518186]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.96697469180009]
Predicted rank: [0], ambiguousness: [[0.8829368  0.11706322]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 106.01232435645854]
Predicted rank: [0], ambiguousness: [[0.65529025 0.34470972]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 8]
Costs: [102.77180946205068, 102.0124521351889]
Predicted rank: [0], ambiguousness: [[0.81527716 0.18472284]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 8]
Costs: [102.77180946205068, 103.37394613514712]
Predicted rank: [0], ambiguousness: [[0.8433777 0.1566223]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 8]
Costs: [102.77180946205068, 103.61650814809337]
Predicted rank: [0], ambiguousness: [[0.88239574 0.11760427]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 8]
Costs: [102.77180946205068, 103.70899833082571]
Predicted rank: [0], ambiguousness: [[0.9256521 0.0743479]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 7]
Costs: [102.77180946205068, 103.70025565782788]
Predicted rank: [0], ambiguousness: [[0.8215503  0.17844969]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 100.98937101571155]
Predicted rank: [0], ambiguousness: [[0.73352945 0.26647055]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 101.6901675387807]
Predicted rank: [0], ambiguousness: [[0.80683875 0.19316126]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 101.85226613018418]
Predicted rank: [0], ambiguousness: [[0.91584045 0.08415955]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 101.8587532772602]
Predicted rank: [0], ambiguousness: [[0.84994555 0.15005448]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 102.91504838604993]
Predicted rank: [0], ambiguousness: [[0.8322897  0.16771027]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.1510900994626]
Predicted rank: [0], ambiguousness: [[0.9298134  0.07018663]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.15966160175718]
Predicted rank: [0], ambiguousness: [[0.88579094 0.11420909]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.32585486010896]
Predicted rank: [0], ambiguousness: [[0.8667949 0.1332051]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.38782412034041]
Predicted rank: [0], ambiguousness: [[0.86487556 0.13512443]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.41819779466616]
Predicted rank: [0], ambiguousness: [[0.90618724 0.09381274]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 101.46250190308149]
Predicted rank: [0], ambiguousness: [[0.7069562 0.2930438]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 101.81494664725219]
Predicted rank: [0], ambiguousness: [[0.88193744 0.11806254]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 101.84443259170526]
Predicted rank: [0], ambiguousness: [[0.77352023 0.2264798 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 102.28233830980902]
Predicted rank: [0], ambiguousness: [[0.82294375 0.17705625]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 102.37887223320962]
Predicted rank: [0], ambiguousness: [[0.8057906  0.19420941]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 102.44722676754736]
Predicted rank: [0], ambiguousness: [[0.9064267  0.09357326]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 103.08257441194868]
Predicted rank: [0], ambiguousness: [[0.8134206 0.1865794]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 103.18808345024198]
Predicted rank: [0], ambiguousness: [[0.87965196 0.12034803]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 103.34176978185312]
Predicted rank: [0], ambiguousness: [[0.9305925  0.06940752]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 103.46282548565053]
Predicted rank: [0], ambiguousness: [[0.8060522  0.19394782]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 8]
Costs: [102.77180946205068, 104.75373842073529]
Predicted rank: [0], ambiguousness: [[0.7676426  0.23235741]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 7]
Costs: [102.77180946205068, 104.85627400224826]
Predicted rank: [0], ambiguousness: [[0.72351456 0.27648544]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 7]
Costs: [102.77180946205068, 105.00591879051723]
Predicted rank: [0], ambiguousness: [[0.89713407 0.10286595]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 7]
Costs: [102.77180946205068, 105.21926300978953]
Predicted rank: [0], ambiguousness: [[0.75662434 0.24337566]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 7]
Costs: [102.77180946205068, 105.40128909542705]
Predicted rank: [0], ambiguousness: [[0.60532224 0.3946778 ]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 8]
Costs: [102.77180946205068, 101.40927307224405]
Predicted rank: [0], ambiguousness: [[0.7547909  0.24520913]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 8]
Costs: [102.77180946205068, 102.08019315006902]
Predicted rank: [0], ambiguousness: [[0.80773497 0.19226505]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 8]
Costs: [102.77180946205068, 102.23632650239423]
Predicted rank: [0], ambiguousness: [[0.91752476 0.08247522]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 7]
Costs: [102.77180946205068, 102.24166385357665]
Predicted rank: [0], ambiguousness: [[0.8348644 0.1651356]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 8]
Costs: [102.77180946205068, 103.23612387995838]
Predicted rank: [0], ambiguousness: [[0.8623549  0.13764511]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 8]
Costs: [102.77180946205068, 103.46486346020178]
Predicted rank: [0], ambiguousness: [[0.9523657  0.04763429]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 2, 0, 1, 2, 7]
Costs: [102.77180946205068, 103.47250131506016]
Predicted rank: [0], ambiguousness: [[0.9113785  0.08862152]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 8]
Costs: [102.77180946205068, 103.63164009474153]
Predicted rank: [0], ambiguousness: [[0.8777461  0.12225389]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 2, 0, 2, 7]
Costs: [102.77180946205068, 103.69171451022137]
Predicted rank: [0], ambiguousness: [[0.8517787 0.1482213]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 2, 0, 0, 0, 1, 1, 2, 1, 7]
Costs: [102.77180946205068, 103.72001966791362]
Predicted rank: [0], ambiguousness: [[0.91821074 0.08178926]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 8]
Costs: [102.77180946205068, 100.70919141397889]
Predicted rank: [0], ambiguousness: [[0.7040309 0.2959691]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 8]
Costs: [102.77180946205068, 101.11508460797216]
Predicted rank: [0], ambiguousness: [[0.88500655 0.11499345]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 7]
Costs: [102.77180946205068, 101.15219152271942]
Predicted rank: [0], ambiguousness: [[0.7436154  0.25638458]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 8]
Costs: [102.77180946205068, 101.697106456729]
Predicted rank: [0], ambiguousness: [[0.8216786 0.1783214]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 7]
Costs: [102.77180946205068, 101.80526239969923]
Predicted rank: [0], ambiguousness: [[0.7831222 0.2168778]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 7]
Costs: [102.77180946205068, 101.88755061510125]
Predicted rank: [0], ambiguousness: [[0.91061586 0.08938415]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 8]
Costs: [102.77180946205068, 102.80873111955742]
Predicted rank: [0], ambiguousness: [[0.796823 0.203177]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 7]
Costs: [102.77180946205068, 102.92017288761812]
Predicted rank: [0], ambiguousness: [[0.8425318  0.15746821]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 2, 0, 2, 1, 7]
Costs: [102.77180946205068, 103.08600217123465]
Predicted rank: [0], ambiguousness: [[0.92779547 0.07220453]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 2, 1, 1, 7]
Costs: [102.77180946205068, 103.22159676736018]
Predicted rank: [0], ambiguousness: [[0.7900262  0.20997384]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [102.77180946205068, 101.17574913686407]
Predicted rank: [0], ambiguousness: [[0.661993 0.338007]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 2, 7]
Costs: [102.77180946205068, 101.3474869454897]
Predicted rank: [0], ambiguousness: [[0.6948793  0.30512074]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 1, 7]
Costs: [102.77180946205068, 101.61831191614687]
Predicted rank: [0], ambiguousness: [[0.8607598  0.13924022]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 1, 7]
Costs: [102.77180946205068, 102.0487042912067]
Predicted rank: [0], ambiguousness: [[0.7588163  0.24118368]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 1, 7]
Costs: [102.77180946205068, 102.80394238996305]
Predicted rank: [0], ambiguousness: [[0.73362875 0.26637122]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 104.37122294294491]
Predicted rank: [0], ambiguousness: [[0.6228914  0.37710857]]
Schedule pairs: [7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [102.77180946205068, 105.3751018557715]
Predicted rank: [1], ambiguousness: [[0.45338744 0.54661256]]
Found better solution: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [105.3751018557715, 106.847511827667]
Predicted rank: [0], ambiguousness: [[0.711251   0.28874898]]
Schedule pairs: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [105.3751018557715, 105.87497114345277]
Predicted rank: [0], ambiguousness: [[0.5484704  0.45152965]]
Schedule pairs: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [105.3751018557715, 105.74960819355277]
Predicted rank: [0], ambiguousness: [[0.50529706 0.4947029 ]]
Schedule pairs: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [105.3751018557715, 105.76558245334292]
Predicted rank: [1], ambiguousness: [[0.49634242 0.5036576 ]]
Found better solution: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [105.76558245334292, 107.17298771613414]
Predicted rank: [0], ambiguousness: [[0.6445456 0.3554544]]
Schedule pairs: [7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [105.76558245334292, 106.26545174102417]
Predicted rank: [1], ambiguousness: [[0.47577983 0.52422017]]
Found better solution: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 107.67246040331544]
Predicted rank: [0], ambiguousness: [[0.6366393 0.3633607]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.76543801280397]
Predicted rank: [0], ambiguousness: [[0.5092949  0.49070507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.60741259065387]
Predicted rank: [0], ambiguousness: [[0.53002816 0.46997184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.73294236218413]
Predicted rank: [0], ambiguousness: [[0.5988264 0.4011736]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.99972259791127]
Predicted rank: [0], ambiguousness: [[0.6466314  0.35336858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.23645965942933]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.45461822511929]
Predicted rank: [0], ambiguousness: [[0.6007881 0.3992119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.54991360352443]
Predicted rank: [0], ambiguousness: [[0.6188102  0.38118982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.59118674015755]
Predicted rank: [0], ambiguousness: [[0.72769713 0.27230284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.57867343951176]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.17239765365915]
Predicted rank: [0], ambiguousness: [[0.67402756 0.32597244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 107.8764483716422]
Predicted rank: [0], ambiguousness: [[0.6297914  0.37020865]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.11816444184399]
Predicted rank: [0], ambiguousness: [[0.6924592  0.30754074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.6453854729103]
Predicted rank: [0], ambiguousness: [[0.7328227  0.26717728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 107.46332206064123]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.76519464721392]
Predicted rank: [0], ambiguousness: [[0.6560114 0.3439886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 107.89424962827317]
Predicted rank: [0], ambiguousness: [[0.7197664 0.2802336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 107.94942675921398]
Predicted rank: [0], ambiguousness: [[0.8005626 0.1994374]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 107.93429700548988]
Predicted rank: [0], ambiguousness: [[0.7301019  0.26989812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.10739886243368]
Predicted rank: [0], ambiguousness: [[0.5138555  0.48614448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.23292863396394]
Predicted rank: [0], ambiguousness: [[0.5831593 0.4168407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.49970886969109]
Predicted rank: [0], ambiguousness: [[0.6482321 0.3517679]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.73644593120912]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.9546044968991]
Predicted rank: [0], ambiguousness: [[0.58514446 0.41485554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.04989987530425]
Predicted rank: [0], ambiguousness: [[0.60340667 0.39659333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.09117301193736]
Predicted rank: [0], ambiguousness: [[0.72358704 0.27641296]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.07865971129155]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.05145788749103]
Predicted rank: [0], ambiguousness: [[0.54353744 0.45646256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.0487957252067]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.29061934275171]
Predicted rank: [0], ambiguousness: [[0.65079075 0.34920925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.5752652960887]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.79528438231235]
Predicted rank: [0], ambiguousness: [[0.60515755 0.39484245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.89121453689333]
Predicted rank: [0], ambiguousness: [[0.62310624 0.3768938 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.93270913220402]
Predicted rank: [0], ambiguousness: [[0.7452712 0.2547288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.9202219814543]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.46434878917267]
Predicted rank: [0], ambiguousness: [[0.6992645  0.30073547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.70395028058928]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.92210884627927]
Predicted rank: [0], ambiguousness: [[0.6380752  0.36192483]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.01740422468441]
Predicted rank: [0], ambiguousness: [[0.7063533  0.29364672]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.05867736131754]
Predicted rank: [0], ambiguousness: [[0.7923176 0.2076824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.04616406067171]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.07289163927757]
Predicted rank: [0], ambiguousness: [[0.6531992 0.3468008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.40808641354087]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.06422577550072]
Predicted rank: [0], ambiguousness: [[0.7269356 0.2730644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.22728362082191]
Predicted rank: [0], ambiguousness: [[0.77293825 0.22706172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.2913156900089]
Predicted rank: [0], ambiguousness: [[0.82096267 0.1790373 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.28272972668128]
Predicted rank: [0], ambiguousness: [[0.8103685  0.18963154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.26181163045166]
Predicted rank: [0], ambiguousness: [[0.6673378  0.33266225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.48220927082016]
Predicted rank: [0], ambiguousness: [[0.7301569 0.2698431]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.54306587373367]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.53488897522271]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.64837301986223]
Predicted rank: [0], ambiguousness: [[0.598469   0.40153095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.75521117620531]
Predicted rank: [0], ambiguousness: [[0.8001343  0.19986568]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.75146751137436]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 106.80911288367432]
Predicted rank: [0], ambiguousness: [[0.5969584 0.4030416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.83666315186647]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.8375965027971]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.37638562198589]
Predicted rank: [0], ambiguousness: [[0.6675163 0.3324837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.61810169218771]
Predicted rank: [0], ambiguousness: [[0.7265707  0.27342924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.145322723254]
Predicted rank: [0], ambiguousness: [[0.7659777 0.2340223]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 107.96325931098494]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.26513189755764]
Predicted rank: [0], ambiguousness: [[0.6923696 0.3076304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.39418687861689]
Predicted rank: [0], ambiguousness: [[0.75193405 0.24806595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.4493640095577]
Predicted rank: [0], ambiguousness: [[0.8319682  0.16803178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.43423425583359]
Predicted rank: [0], ambiguousness: [[0.7242073  0.27579272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.25904779438845]
Predicted rank: [0], ambiguousness: [[0.64236784 0.35763213]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.27275520348678]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.7511381730784]
Predicted rank: [0], ambiguousness: [[0.72701025 0.27298972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 107.66125195723271]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.96668789650835]
Predicted rank: [0], ambiguousness: [[0.6493275 0.3506725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.09696214274626]
Predicted rank: [0], ambiguousness: [[0.71378076 0.2862192 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.15256384838902]
Predicted rank: [0], ambiguousness: [[0.80731475 0.19268523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.13748046596278]
Predicted rank: [0], ambiguousness: [[0.75090545 0.24909453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.08621892595463]
Predicted rank: [0], ambiguousness: [[0.76866484 0.23133518]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 107.90902609916976]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.21089868574245]
Predicted rank: [0], ambiguousness: [[0.6805068  0.31949317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.33995366680172]
Predicted rank: [0], ambiguousness: [[0.7839445  0.21605554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.39513079774252]
Predicted rank: [0], ambiguousness: [[0.845281   0.15471897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.38000104401843]
Predicted rank: [0], ambiguousness: [[0.7814412  0.21855879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.50250711025743]
Predicted rank: [0], ambiguousness: [[0.7384366  0.26156342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 104.62005808309905]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.55877107269134]
Predicted rank: [0], ambiguousness: [[0.7751663  0.22483374]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.78506843541828]
Predicted rank: [0], ambiguousness: [[0.8361291  0.16387087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 105.8728726038055]
Predicted rank: [0], ambiguousness: [[0.86711097 0.132889  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 105.86319169980689]
Predicted rank: [0], ambiguousness: [[0.8103685  0.18963154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.3337213776373]
Predicted rank: [0], ambiguousness: [[0.775147   0.22485298]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 107.63290430424274]
Predicted rank: [0], ambiguousness: [[0.7929233  0.20707673]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 107.71438402104141]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 107.7050135333206]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 107.86729074596228]
Predicted rank: [0], ambiguousness: [[0.6688167  0.33118328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.0089916861407]
Predicted rank: [0], ambiguousness: [[0.828068   0.17193197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.00530146309666]
Predicted rank: [0], ambiguousness: [[0.8101393  0.18986072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.08476160207546]
Predicted rank: [0], ambiguousness: [[0.70032126 0.29967874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.12158481562741]
Predicted rank: [0], ambiguousness: [[0.7366158  0.26338422]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.12511361420957]
Predicted rank: [0], ambiguousness: [[0.80457246 0.19542757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.55144415927083]
Predicted rank: [0], ambiguousness: [[0.52741516 0.47258484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.54878199698649]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.79060561453151]
Predicted rank: [0], ambiguousness: [[0.65238273 0.34761727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.07525156786849]
Predicted rank: [0], ambiguousness: [[0.68013126 0.31986874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.29527065409215]
Predicted rank: [0], ambiguousness: [[0.58956826 0.41043177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.39120080867312]
Predicted rank: [0], ambiguousness: [[0.6077663  0.39223376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.43269540398384]
Predicted rank: [0], ambiguousness: [[0.74133205 0.25866792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.42020825323411]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.96433506095246]
Predicted rank: [0], ambiguousness: [[0.7007371  0.29926285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.2039365523691]
Predicted rank: [0], ambiguousness: [[0.73782516 0.26217487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.42209511805908]
Predicted rank: [0], ambiguousness: [[0.62297577 0.37702423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.5173904964642]
Predicted rank: [0], ambiguousness: [[0.6927307  0.30726928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.55866363309732]
Predicted rank: [0], ambiguousness: [[0.78889984 0.21110015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.54615033245152]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.57287791105736]
Predicted rank: [0], ambiguousness: [[0.65227413 0.3477259 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.90807268532066]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.5642120472805]
Predicted rank: [0], ambiguousness: [[0.72101617 0.27898383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.7272698926017]
Predicted rank: [0], ambiguousness: [[0.7722212  0.22777876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.79130196178872]
Predicted rank: [0], ambiguousness: [[0.8283633  0.17163667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.7827159984611]
Predicted rank: [0], ambiguousness: [[0.816757   0.18324296]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.76179790223146]
Predicted rank: [0], ambiguousness: [[0.65279484 0.34720513]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.98219554259998]
Predicted rank: [0], ambiguousness: [[0.7171966  0.28280345]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.04305214551346]
Predicted rank: [0], ambiguousness: [[0.83378977 0.16621025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.03487524700253]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.14835929164202]
Predicted rank: [0], ambiguousness: [[0.5827977 0.4172023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.2551974479851]
Predicted rank: [0], ambiguousness: [[0.79681224 0.20318775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.25145378315415]
Predicted rank: [0], ambiguousness: [[0.8055271  0.19447288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.3090991554541]
Predicted rank: [0], ambiguousness: [[0.58126926 0.4187307 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.33664942364626]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.3375827745769]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.52869102967236]
Predicted rank: [0], ambiguousness: [[0.5457841  0.45421588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.47711143629886]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.728706876421]
Predicted rank: [0], ambiguousness: [[0.66303563 0.3369644 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.01912937798409]
Predicted rank: [0], ambiguousness: [[0.70547986 0.29452017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.23925370660174]
Predicted rank: [0], ambiguousness: [[0.6180634 0.3819366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.33522259853922]
Predicted rank: [0], ambiguousness: [[0.6357784  0.36422154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.37673035164946]
Predicted rank: [0], ambiguousness: [[0.75544804 0.24455197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.36424489773262]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.72658298948369]
Predicted rank: [0], ambiguousness: [[0.6853715 0.3146285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.01664843064151]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.23666751686517]
Predicted rank: [0], ambiguousness: [[0.6527543  0.34724572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.33259767144617]
Predicted rank: [0], ambiguousness: [[0.6838415  0.31615847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.37409226675688]
Predicted rank: [0], ambiguousness: [[0.76409924 0.23590073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.36160511600715]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.32699709212247]
Predicted rank: [0], ambiguousness: [[0.6573222  0.34267777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.67581346283083]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.35016369042528]
Predicted rank: [0], ambiguousness: [[0.7305436 0.2694564]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.51587825401441]
Predicted rank: [0], ambiguousness: [[0.77612567 0.22387436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.58079062009658]
Predicted rank: [0], ambiguousness: [[0.8338915  0.16610847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.57234461921283]
Predicted rank: [0], ambiguousness: [[0.82645583 0.1735442 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.59810440878944]
Predicted rank: [0], ambiguousness: [[0.6713773  0.32862273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.82012005805466]
Predicted rank: [0], ambiguousness: [[0.733738 0.266262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.88131916218687]
Predicted rank: [0], ambiguousness: [[0.84863716 0.15136284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.8731944427345]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.98797658194047]
Predicted rank: [0], ambiguousness: [[0.60284716 0.39715284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.09533407515747]
Predicted rank: [0], ambiguousness: [[0.81422687 0.18577313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.09165340975198]
Predicted rank: [0], ambiguousness: [[0.82624185 0.17375812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.14976637764042]
Predicted rank: [0], ambiguousness: [[0.6117828  0.38821724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.17747082704463]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.17853404388714]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.52623708491925]
Predicted rank: [0], ambiguousness: [[0.70529985 0.29470012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.87124714365041]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.52863880741545]
Predicted rank: [0], ambiguousness: [[0.75387496 0.24612504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.69181715260447]
Predicted rank: [0], ambiguousness: [[0.82623494 0.17376505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.75588692256787]
Predicted rank: [0], ambiguousness: [[0.8605453 0.1394547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.74730742124979]
Predicted rank: [0], ambiguousness: [[0.84426695 0.15573303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.72930225161164]
Predicted rank: [0], ambiguousness: [[0.7014973  0.29850265]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.94969989198015]
Predicted rank: [0], ambiguousness: [[0.8003776  0.19962242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.01055649489362]
Predicted rank: [0], ambiguousness: [[0.8796749 0.1203251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.0023795963827]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.11586364102219]
Predicted rank: [0], ambiguousness: [[0.6916976  0.30830243]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.22270179736526]
Predicted rank: [0], ambiguousness: [[0.8324113  0.16758874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.21895813253433]
Predicted rank: [0], ambiguousness: [[0.84353477 0.15646525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.27660350483427]
Predicted rank: [0], ambiguousness: [[0.6641736  0.33582637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.30415377302643]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.30508712395707]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.49404320532904]
Predicted rank: [0], ambiguousness: [[0.6554405 0.3445595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.15008376192148]
Predicted rank: [0], ambiguousness: [[0.6901764  0.30982357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.10520611401552]
Predicted rank: [0], ambiguousness: [[0.7172214 0.2827786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.28728544459007]
Predicted rank: [0], ambiguousness: [[0.7737353 0.2262647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.35717552063787]
Predicted rank: [0], ambiguousness: [[0.8251664 0.1748336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.34960718927282]
Predicted rank: [0], ambiguousness: [[0.8147648 0.1852352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.15064718383458]
Predicted rank: [0], ambiguousness: [[0.582132 0.417868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.55612008035453]
Predicted rank: [0], ambiguousness: [[0.69627607 0.30372396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.66022524643716]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.66055359089333]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.15636902847483]
Predicted rank: [0], ambiguousness: [[0.7363699 0.2636301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.3204495983931]
Predicted rank: [0], ambiguousness: [[0.8778908  0.12210917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.32431135214003]
Predicted rank: [0], ambiguousness: [[0.87828654 0.12171347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.43343544628502]
Predicted rank: [0], ambiguousness: [[0.7561521 0.2438479]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.47682529686622]
Predicted rank: [0], ambiguousness: [[0.84863514 0.15136486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.49392951093895]
Predicted rank: [0], ambiguousness: [[0.8825913  0.11740871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.37009585608922]
Predicted rank: [0], ambiguousness: [[0.6218207  0.37817934]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.5300644371815]
Predicted rank: [0], ambiguousness: [[0.8287981 0.1712019]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.53524745804248]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 106.7072694542783]
Predicted rank: [0], ambiguousness: [[0.7189441  0.28105593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.74935667708634]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.76666712165239]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 106.85562862448816]
Predicted rank: [0], ambiguousness: [[0.5743182 0.4256818]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 106.90764952575313]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 106.97257919282345]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.00483223295453]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.75898504473216]
Predicted rank: [0], ambiguousness: [[0.67946345 0.32053655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.7726924538305]
Predicted rank: [0], ambiguousness: [[0.70496154 0.2950385 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.25107542342211]
Predicted rank: [0], ambiguousness: [[0.76065093 0.23934908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.16118920757641]
Predicted rank: [0], ambiguousness: [[0.7831856 0.2168144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.46662514685207]
Predicted rank: [0], ambiguousness: [[0.68605405 0.31394595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.59689939308998]
Predicted rank: [0], ambiguousness: [[0.74639344 0.25360653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.65250109873273]
Predicted rank: [0], ambiguousness: [[0.83787245 0.16212757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.63741771630649]
Predicted rank: [0], ambiguousness: [[0.74530673 0.25469324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.58615617629835]
Predicted rank: [0], ambiguousness: [[0.79859436 0.20140561]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.40896334951348]
Predicted rank: [0], ambiguousness: [[0.82701933 0.17298068]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.71083593608616]
Predicted rank: [0], ambiguousness: [[0.71539915 0.28460082]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.83989091714542]
Predicted rank: [0], ambiguousness: [[0.81068295 0.18931706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.89506804808623]
Predicted rank: [0], ambiguousness: [[0.8707814  0.12921856]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.87993829436215]
Predicted rank: [0], ambiguousness: [[0.77632433 0.22367565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.00244436060115]
Predicted rank: [0], ambiguousness: [[0.7691485  0.23085146]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.11999533344277]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 106.05870832303503]
Predicted rank: [0], ambiguousness: [[0.7986417  0.20135833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.285005685762]
Predicted rank: [0], ambiguousness: [[0.8575826  0.14241737]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.37280985414921]
Predicted rank: [0], ambiguousness: [[0.89056975 0.10943025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.36312895015061]
Predicted rank: [0], ambiguousness: [[0.816757   0.18324296]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.83365862798101]
Predicted rank: [0], ambiguousness: [[0.8027002  0.19729976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.13284155458646]
Predicted rank: [0], ambiguousness: [[0.8188074  0.18119258]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.21432127138513]
Predicted rank: [0], ambiguousness: [[0.89458555 0.10541444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.20495078366429]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.36722799630599]
Predicted rank: [0], ambiguousness: [[0.7044313  0.29556873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.50892893648441]
Predicted rank: [0], ambiguousness: [[0.85592186 0.14407814]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.50523871344036]
Predicted rank: [0], ambiguousness: [[0.8055271  0.19447288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.58469885241917]
Predicted rank: [0], ambiguousness: [[0.7338958 0.2661042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.62152206597113]
Predicted rank: [0], ambiguousness: [[0.73081106 0.26918894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.62505086455329]
Predicted rank: [0], ambiguousness: [[0.7959992  0.20400077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.70531924296446]
Predicted rank: [0], ambiguousness: [[0.64444625 0.35555372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.62256989160517]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.12092929280254]
Predicted rank: [0], ambiguousness: [[0.7376598  0.26234016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.04346314760772]
Predicted rank: [0], ambiguousness: [[0.7636889  0.23631106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.3491238931648]
Predicted rank: [0], ambiguousness: [[0.6615969 0.3384031]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.47948120091749]
Predicted rank: [0], ambiguousness: [[0.724751 0.275249]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.53511109023474]
Predicted rank: [0], ambiguousness: [[0.8156261  0.18437392]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.52003111891652]
Predicted rank: [0], ambiguousness: [[0.7609294  0.23907058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.13758885341036]
Predicted rank: [0], ambiguousness: [[0.7568631  0.24313687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.05755878907729]
Predicted rank: [0], ambiguousness: [[0.78461087 0.21538915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.36299472835296]
Predicted rank: [0], ambiguousness: [[0.6942895 0.3057105]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.49326897459088]
Predicted rank: [0], ambiguousness: [[0.7654055  0.23459454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.5488706802336]
Predicted rank: [0], ambiguousness: [[0.8226482  0.17735177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.53378729780736]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.5380601462454]
Predicted rank: [0], ambiguousness: [[0.73270166 0.26729834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 104.68111574529584]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.65494283941274]
Predicted rank: [0], ambiguousness: [[0.7699858 0.2300142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.88635781668361]
Predicted rank: [0], ambiguousness: [[0.832049   0.16795102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 105.97585714682991]
Predicted rank: [0], ambiguousness: [[0.8719704  0.12802958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 105.96643507000013]
Predicted rank: [0], ambiguousness: [[0.82645583 0.1735442 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.52680797778781]
Predicted rank: [0], ambiguousness: [[0.76996624 0.23003379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 107.82910482629592]
Predicted rank: [0], ambiguousness: [[0.78804004 0.21195994]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 107.91124193619457]
Predicted rank: [0], ambiguousness: [[0.8777695  0.12223056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 107.90196738271698]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.06672971251946]
Predicted rank: [0], ambiguousness: [[0.6622535 0.3377465]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.20943070657995]
Predicted rank: [0], ambiguousness: [[0.83408195 0.16591804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.2058575344702]
Predicted rank: [0], ambiguousness: [[0.82624185 0.17375812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.28621753183441]
Predicted rank: [0], ambiguousness: [[0.703307   0.29669303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.32333483541134]
Predicted rank: [0], ambiguousness: [[0.7570844  0.24291559]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.3271094920577]
Predicted rank: [0], ambiguousness: [[0.80742633 0.19257364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.92416648534035]
Predicted rank: [0], ambiguousness: [[0.77375805 0.22624195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.05838809747588]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.99923966597322]
Predicted rank: [0], ambiguousness: [[0.7908796  0.20912042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.22574269846871]
Predicted rank: [0], ambiguousness: [[0.8717101  0.12828988]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.31361122511967]
Predicted rank: [0], ambiguousness: [[0.89329594 0.10670407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.30394100496494]
Predicted rank: [0], ambiguousness: [[0.84426695 0.15573303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.77942541616585]
Predicted rank: [0], ambiguousness: [[0.7938251  0.20617492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.07860834277129]
Predicted rank: [0], ambiguousness: [[0.84397894 0.15602106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.16008805956997]
Predicted rank: [0], ambiguousness: [[0.90351266 0.09648734]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.15071757184913]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.31299478449083]
Predicted rank: [0], ambiguousness: [[0.74346906 0.25653094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.45469572466925]
Predicted rank: [0], ambiguousness: [[0.8506793  0.14932075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.45100550162522]
Predicted rank: [0], ambiguousness: [[0.84353477 0.15646525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.530465640604]
Predicted rank: [0], ambiguousness: [[0.7484255  0.25157452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.56728885415598]
Predicted rank: [0], ambiguousness: [[0.8025111  0.19748893]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.57081765273813]
Predicted rank: [0], ambiguousness: [[0.8545948  0.14540517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.88098909556899]
Predicted rank: [0], ambiguousness: [[0.7663585  0.23364149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 103.97199291678557]
Predicted rank: [0], ambiguousness: [[0.75917506 0.24082491]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.36678038340258]
Predicted rank: [0], ambiguousness: [[0.766617   0.23338301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.62201419200224]
Predicted rank: [0], ambiguousness: [[0.83675116 0.16324882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 105.71875014448517]
Predicted rank: [0], ambiguousness: [[0.8704022 0.1295978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 105.71058289872438]
Predicted rank: [0], ambiguousness: [[0.8147648 0.1852352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 104.0801805883134]
Predicted rank: [0], ambiguousness: [[0.6733565  0.32664353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 104.6480193836384]
Predicted rank: [0], ambiguousness: [[0.7643801  0.23561993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 104.79186564605583]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 104.79451796801607]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 105.5142098370426]
Predicted rank: [0], ambiguousness: [[0.7819146  0.21808538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 105.73826513406073]
Predicted rank: [0], ambiguousness: [[0.8983693 0.1016307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 105.74529535654085]
Predicted rank: [0], ambiguousness: [[0.87828654 0.12171347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 105.89870040415303]
Predicted rank: [0], ambiguousness: [[0.8225388  0.17746122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 105.95818204861493]
Predicted rank: [0], ambiguousness: [[0.84863514 0.15136486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 105.98473609173152]
Predicted rank: [0], ambiguousness: [[0.8825913  0.11740871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [106.26545174102417, 107.31969934596667]
Predicted rank: [0], ambiguousness: [[0.75131696 0.24868304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [106.26545174102417, 107.53356091699627]
Predicted rank: [0], ambiguousness: [[0.88761556 0.11238446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [106.26545174102417, 107.54183155705314]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [106.26545174102417, 107.77717500016406]
Predicted rank: [0], ambiguousness: [[0.7830733  0.21692666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [106.26545174102417, 107.8335400142704]
Predicted rank: [0], ambiguousness: [[0.8350011  0.16499892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [106.26545174102417, 107.8590096584218]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [106.26545174102417, 107.9890821548634]
Predicted rank: [0], ambiguousness: [[0.64576113 0.35423887]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [106.26545174102417, 108.05810907688468]
Predicted rank: [0], ambiguousness: [[0.772903   0.22709697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [106.26545174102417, 108.1461336654724]
Predicted rank: [0], ambiguousness: [[0.84836894 0.15163104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [106.26545174102417, 108.19429098426225]
Predicted rank: [0], ambiguousness: [[0.61155665 0.38844338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.02867730145215]
Predicted rank: [0], ambiguousness: [[0.52967244 0.47032756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.97709770807865]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.22869314820079]
Predicted rank: [0], ambiguousness: [[0.6646005  0.33539948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.51911564976389]
Predicted rank: [0], ambiguousness: [[0.69183445 0.30816558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.73923997838156]
Predicted rank: [0], ambiguousness: [[0.60264903 0.39735097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.83520887031901]
Predicted rank: [0], ambiguousness: [[0.6206403  0.37935975]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.87671662342926]
Predicted rank: [0], ambiguousness: [[0.75161386 0.24838614]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.86423116951242]
Predicted rank: [0], ambiguousness: [[0.7554826  0.24451739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.22656926126348]
Predicted rank: [0], ambiguousness: [[0.68688166 0.3131183 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.51663470242133]
Predicted rank: [0], ambiguousness: [[0.7167586  0.28324136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.73665378864497]
Predicted rank: [0], ambiguousness: [[0.6379198  0.36208022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.83258394322596]
Predicted rank: [0], ambiguousness: [[0.6696631  0.33033693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.87407853853666]
Predicted rank: [0], ambiguousness: [[0.7603577 0.2396423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.86159138778694]
Predicted rank: [0], ambiguousness: [[0.75733393 0.24266605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.82698336390229]
Predicted rank: [0], ambiguousness: [[0.65640235 0.34359765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.17579973461064]
Predicted rank: [0], ambiguousness: [[0.68013126 0.31986874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.85014996220508]
Predicted rank: [0], ambiguousness: [[0.7246728 0.2753272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.01586452579421]
Predicted rank: [0], ambiguousness: [[0.7754157 0.2245843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.08077689187637]
Predicted rank: [0], ambiguousness: [[0.8408613  0.15913866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.07233089099262]
Predicted rank: [0], ambiguousness: [[0.83241445 0.16758554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.09809068056924]
Predicted rank: [0], ambiguousness: [[0.6569202  0.34307978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.32010632983445]
Predicted rank: [0], ambiguousness: [[0.72088385 0.27911615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.38130543396667]
Predicted rank: [0], ambiguousness: [[0.8459661 0.1540339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.37318071451432]
Predicted rank: [0], ambiguousness: [[0.8538939  0.14610611]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.48796285372028]
Predicted rank: [0], ambiguousness: [[0.5872288 0.4127712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.59532034693726]
Predicted rank: [0], ambiguousness: [[0.81108373 0.18891625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.59163968153177]
Predicted rank: [0], ambiguousness: [[0.82193494 0.17806509]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.64975264942021]
Predicted rank: [0], ambiguousness: [[0.5962805  0.40371948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.67745709882443]
Predicted rank: [0], ambiguousness: [[0.7515787  0.24842133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.67852031566693]
Predicted rank: [0], ambiguousness: [[0.7989471  0.20105292]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.02622335669905]
Predicted rank: [0], ambiguousness: [[0.70445085 0.29554912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.3712334154302]
Predicted rank: [0], ambiguousness: [[0.73782516 0.26217487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.02862507919524]
Predicted rank: [0], ambiguousness: [[0.7483373  0.25166267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.19180342438426]
Predicted rank: [0], ambiguousness: [[0.82564825 0.17435177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.25587319434769]
Predicted rank: [0], ambiguousness: [[0.86657566 0.13342434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.24729369302958]
Predicted rank: [0], ambiguousness: [[0.84972525 0.15027472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.22928852339143]
Predicted rank: [0], ambiguousness: [[0.6877491 0.3122509]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.44968616375994]
Predicted rank: [0], ambiguousness: [[0.789819 0.210181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.51054276667344]
Predicted rank: [0], ambiguousness: [[0.87747246 0.12252754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.50236586816249]
Predicted rank: [0], ambiguousness: [[0.8739243 0.1260757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.61584991280199]
Predicted rank: [0], ambiguousness: [[0.6777053  0.32229468]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.72268806914506]
Predicted rank: [0], ambiguousness: [[0.8295114  0.17048863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.71894440431413]
Predicted rank: [0], ambiguousness: [[0.83957314 0.16042683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.77658977661407]
Predicted rank: [0], ambiguousness: [[0.6495651 0.3504349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.80414004480622]
Predicted rank: [0], ambiguousness: [[0.7977599  0.20224012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.80507339573687]
Predicted rank: [0], ambiguousness: [[0.84780097 0.15219906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.99402947710882]
Predicted rank: [0], ambiguousness: [[0.65451825 0.34548178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.65007003370127]
Predicted rank: [0], ambiguousness: [[0.67614746 0.32385254]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.60519238579533]
Predicted rank: [0], ambiguousness: [[0.71639293 0.28360707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.78727171636986]
Predicted rank: [0], ambiguousness: [[0.77301997 0.22698003]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.85716179241768]
Predicted rank: [0], ambiguousness: [[0.8308755  0.16912447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.84959346105262]
Predicted rank: [0], ambiguousness: [[0.8194021  0.18059793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.65063345561438]
Predicted rank: [0], ambiguousness: [[0.56628513 0.43371484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.05610635213432]
Predicted rank: [0], ambiguousness: [[0.6823962 0.3176038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.16021151821695]
Predicted rank: [0], ambiguousness: [[0.83378977 0.16621025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.16053986267312]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.65635530025463]
Predicted rank: [0], ambiguousness: [[0.73057926 0.26942077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.82043587017289]
Predicted rank: [0], ambiguousness: [[0.8794424  0.12055761]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.82429762391982]
Predicted rank: [0], ambiguousness: [[0.8788719  0.12112805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.93342171806484]
Predicted rank: [0], ambiguousness: [[0.75539875 0.24460126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.97681156864604]
Predicted rank: [0], ambiguousness: [[0.8525779  0.14742206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.99391578271874]
Predicted rank: [0], ambiguousness: [[0.8844629  0.11553711]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.87008212786903]
Predicted rank: [0], ambiguousness: [[0.6064614  0.39353856]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.03005070896128]
Predicted rank: [0], ambiguousness: [[0.8258488  0.17415121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.03523372982227]
Predicted rank: [0], ambiguousness: [[0.76762605 0.23237394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.2072557260581]
Predicted rank: [0], ambiguousness: [[0.70566225 0.29433778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.24934294886614]
Predicted rank: [0], ambiguousness: [[0.8308668 0.1691332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.2666533934322]
Predicted rank: [0], ambiguousness: [[0.88701683 0.11298319]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.35561489626798]
Predicted rank: [0], ambiguousness: [[0.5583998  0.44160023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.40763579753292]
Predicted rank: [0], ambiguousness: [[0.7676457  0.23235427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.47256546460324]
Predicted rank: [0], ambiguousness: [[0.84133816 0.15866181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.50481850473432]
Predicted rank: [0], ambiguousness: [[0.59605134 0.40394866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.0195536381195]
Predicted rank: [0], ambiguousness: [[0.5457841  0.45421588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.95125868896787]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.20575998673645]
Predicted rank: [0], ambiguousness: [[0.67484653 0.32515347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.49636023589699]
Predicted rank: [0], ambiguousness: [[0.7073586  0.29264143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.71648584582418]
Predicted rank: [0], ambiguousness: [[0.62019956 0.37980044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.81245525890583]
Predicted rank: [0], ambiguousness: [[0.63787353 0.36212644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.85396318938137]
Predicted rank: [0], ambiguousness: [[0.75711775 0.24288225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.84147776017053]
Predicted rank: [0], ambiguousness: [[0.7625735  0.23742653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.14801231389195]
Predicted rank: [0], ambiguousness: [[0.6853715 0.3146285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.4447829267919]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.66490725540959]
Predicted rank: [0], ambiguousness: [[0.6527543  0.34724572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.76087614734703]
Predicted rank: [0], ambiguousness: [[0.6838415  0.31615847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.80238390045727]
Predicted rank: [0], ambiguousness: [[0.76409924 0.23590073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.78989844654043]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.75927464338135]
Predicted rank: [0], ambiguousness: [[0.66945434 0.33054566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.1112334169199]
Predicted rank: [0], ambiguousness: [[0.70547986 0.29452017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.78774526080895]
Predicted rank: [0], ambiguousness: [[0.7411045  0.25889555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.95373705837693]
Predicted rank: [0], ambiguousness: [[0.7854247  0.21457529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.01873949331716]
Predicted rank: [0], ambiguousness: [[0.8412819  0.15871814]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.01030848481406]
Predicted rank: [0], ambiguousness: [[0.83411115 0.16588886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.04181686302547]
Predicted rank: [0], ambiguousness: [[0.6832515  0.31674847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.2639332692882]
Predicted rank: [0], ambiguousness: [[0.7442174  0.25578257]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.3251526146116]
Predicted rank: [0], ambiguousness: [[0.85548514 0.14451486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.31703110081489]
Predicted rank: [0], ambiguousness: [[0.8640707 0.1359293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.43188438622599]
Predicted rank: [0], ambiguousness: [[0.6157806 0.3842194]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.53927316515245]
Predicted rank: [0], ambiguousness: [[0.8223057  0.17769432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.53559637077728]
Predicted rank: [0], ambiguousness: [[0.83390474 0.16609523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.59373856635486]
Predicted rank: [0], ambiguousness: [[0.62460643 0.37539357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.62145194584298]
Predicted rank: [0], ambiguousness: [[0.7669369  0.23306309]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.62252342010416]
Predicted rank: [0], ambiguousness: [[0.81573397 0.18426603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.7419527771095]
Predicted rank: [0], ambiguousness: [[0.6915627 0.3084373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.10900720411844]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.78572413152938]
Predicted rank: [0], ambiguousness: [[0.7655829  0.23441708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.95166660405681]
Predicted rank: [0], ambiguousness: [[0.81666976 0.18333025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.01665028574782]
Predicted rank: [0], ambiguousness: [[0.845167   0.15483302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.00821650973486]
Predicted rank: [0], ambiguousness: [[0.8354967  0.16450328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.03948754334226]
Predicted rank: [0], ambiguousness: [[0.7147541  0.28524593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.26150319260748]
Predicted rank: [0], ambiguousness: [[0.78285813 0.21714187]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.32270229673969]
Predicted rank: [0], ambiguousness: [[0.8612474  0.13875256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.31457757728734]
Predicted rank: [0], ambiguousness: [[0.8652465  0.13475354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.42935971649331]
Predicted rank: [0], ambiguousness: [[0.6685895  0.33141056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.53671720971029]
Predicted rank: [0], ambiguousness: [[0.8333492  0.16665079]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.5330365443048]
Predicted rank: [0], ambiguousness: [[0.8393914  0.16060859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.59114951219325]
Predicted rank: [0], ambiguousness: [[0.65429294 0.3457071 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.61885396159747]
Predicted rank: [0], ambiguousness: [[0.7851286  0.21487142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.61991717843998]
Predicted rank: [0], ambiguousness: [[0.8330554  0.16694464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.7333888388464]
Predicted rank: [0], ambiguousness: [[0.63943994 0.36056006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.35192261730847]
Predicted rank: [0], ambiguousness: [[0.69406575 0.30593425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.35164479452482]
Predicted rank: [0], ambiguousness: [[0.7209085 0.2790915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.53797733784492]
Predicted rank: [0], ambiguousness: [[0.77691466 0.22308533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.60924632158378]
Predicted rank: [0], ambiguousness: [[0.83785164 0.16214837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.60190518209978]
Predicted rank: [0], ambiguousness: [[0.83055717 0.16944285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.4061348036031]
Predicted rank: [0], ambiguousness: [[0.5865652 0.4134348]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.81985529686943]
Predicted rank: [0], ambiguousness: [[0.70012206 0.29987794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.92569555476204]
Predicted rank: [0], ambiguousness: [[0.84863716 0.15136284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.92635193948769]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.43829647434794]
Predicted rank: [0], ambiguousness: [[0.7398979 0.2601021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.60456064158029]
Predicted rank: [0], ambiguousness: [[0.88727325 0.11272676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.60870705999879]
Predicted rank: [0], ambiguousness: [[0.88939846 0.11060151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.71985515153838]
Predicted rank: [0], ambiguousness: [[0.76740265 0.23259738]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.76385534177929]
Predicted rank: [0], ambiguousness: [[0.86202884 0.13797118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.78155853394424]
Predicted rank: [0], ambiguousness: [[0.8844695  0.11553052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.70471161894721]
Predicted rank: [0], ambiguousness: [[0.6261032  0.37389678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.86560155857993]
Predicted rank: [0], ambiguousness: [[0.8412705  0.15872948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.87090823261593]
Predicted rank: [0], ambiguousness: [[0.7913321  0.20866786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.04432833162193]
Predicted rank: [0], ambiguousness: [[0.7313012  0.26869878]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.08665719262578]
Predicted rank: [0], ambiguousness: [[0.8493871  0.15061289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.10420012441767]
Predicted rank: [0], ambiguousness: [[0.8940243  0.10597567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.1943597098373]
Predicted rank: [0], ambiguousness: [[0.59629965 0.40370035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.24664270953059]
Predicted rank: [0], ambiguousness: [[0.79135036 0.20864962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.31199675863614]
Predicted rank: [0], ambiguousness: [[0.850702   0.14929803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.34474377471035]
Predicted rank: [0], ambiguousness: [[0.6158836  0.38411638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.93519641692055]
Predicted rank: [0], ambiguousness: [[0.66235614 0.33764386]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.59277221587851]
Predicted rank: [0], ambiguousness: [[0.75016946 0.24983054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.55753916030366]
Predicted rank: [0], ambiguousness: [[0.7447827  0.25521734]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.74020794247606]
Predicted rank: [0], ambiguousness: [[0.8268868  0.17311323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.81028560717579]
Predicted rank: [0], ambiguousness: [[0.8639736  0.13602638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.80275027714363]
Predicted rank: [0], ambiguousness: [[0.8480248  0.15197523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.61310141020708]
Predicted rank: [0], ambiguousness: [[0.6200597 0.3799403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.01908080934105]
Predicted rank: [0], ambiguousness: [[0.77256715 0.22743286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.1232783288228]
Predicted rank: [0], ambiguousness: [[0.8796749 0.1203251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.12362496365253]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.62061347357547]
Predicted rank: [0], ambiguousness: [[0.7985288  0.20147124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.78479022473095]
Predicted rank: [0], ambiguousness: [[0.89754814 0.10245188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.78866470393235]
Predicted rank: [0], ambiguousness: [[0.90115774 0.09884225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.89788344176583]
Predicted rank: [0], ambiguousness: [[0.79605216 0.20394783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.94129894661764]
Predicted rank: [0], ambiguousness: [[0.8866048  0.11339521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.95843030946025]
Predicted rank: [0], ambiguousness: [[0.9100417 0.0899583]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.8375864772492]
Predicted rank: [0], ambiguousness: [[0.6979766  0.30202338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.99755505834146]
Predicted rank: [0], ambiguousness: [[0.8572718  0.14272824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.00273807920243]
Predicted rank: [0], ambiguousness: [[0.8113059  0.18869415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.17476007543826]
Predicted rank: [0], ambiguousness: [[0.77353346 0.22646652]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.21684729824631]
Predicted rank: [0], ambiguousness: [[0.8802821  0.11971791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.23415774281236]
Predicted rank: [0], ambiguousness: [[0.92203003 0.07796999]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.32311924564814]
Predicted rank: [0], ambiguousness: [[0.64665633 0.35334367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.3751401469131]
Predicted rank: [0], ambiguousness: [[0.83398354 0.16601643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.44006981398341]
Predicted rank: [0], ambiguousness: [[0.8740822  0.12591782]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.47232285411448]
Predicted rank: [0], ambiguousness: [[0.69110096 0.30889904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.97373906962157]
Predicted rank: [0], ambiguousness: [[0.68439627 0.31560373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.5076943829867]
Predicted rank: [0], ambiguousness: [[0.6884188 0.3115812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.5246745799956]
Predicted rank: [0], ambiguousness: [[0.75448334 0.24551663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.70770325692735]
Predicted rank: [0], ambiguousness: [[0.7483909  0.25160906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.77794524841045]
Predicted rank: [0], ambiguousness: [[0.83986306 0.16013697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.77044503420169]
Predicted rank: [0], ambiguousness: [[0.7931661  0.20683391]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 103.73402663424434]
Predicted rank: [0], ambiguousness: [[0.582132 0.417868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.26033877821646]
Predicted rank: [0], ambiguousness: [[0.69627607 0.30372396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.38296015808083]
Predicted rank: [0], ambiguousness: [[0.8366312 0.1633688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.38703930501889]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.17185738571129]
Predicted rank: [0], ambiguousness: [[0.72686523 0.27313477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.35147040819118]
Predicted rank: [0], ambiguousness: [[0.87260574 0.12739427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.35731342981907]
Predicted rank: [0], ambiguousness: [[0.87301606 0.12698394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.48176931642482]
Predicted rank: [0], ambiguousness: [[0.7569895  0.24301054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.5289213583805]
Predicted rank: [0], ambiguousness: [[0.84921825 0.15078175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.55059652415969]
Predicted rank: [0], ambiguousness: [[0.8855497 0.1144503]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 104.07413570485588]
Predicted rank: [0], ambiguousness: [[0.53311306 0.46688694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 104.34149211381148]
Predicted rank: [0], ambiguousness: [[0.7707404  0.22925963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 104.36323602480698]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 104.6919749893341]
Predicted rank: [0], ambiguousness: [[0.7189441  0.28105593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 104.76523910302743]
Predicted rank: [0], ambiguousness: [[0.81087446 0.18912552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 104.81575677594964]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 105.28582763209155]
Predicted rank: [0], ambiguousness: [[0.7075566 0.2924434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 105.36640695406277]
Predicted rank: [0], ambiguousness: [[0.85910535 0.14089464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 105.4823487668327]
Predicted rank: [0], ambiguousness: [[0.9144721  0.08552787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 105.57133242215929]
Predicted rank: [0], ambiguousness: [[0.77814984 0.22185019]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [106.26545174102417, 106.5164882580739]
Predicted rank: [0], ambiguousness: [[0.57450724 0.4254928 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [106.26545174102417, 106.59543298662017]
Predicted rank: [0], ambiguousness: [[0.72278786 0.27721214]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [106.26545174102417, 106.70934994633917]
Predicted rank: [0], ambiguousness: [[0.8817684  0.11823158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [106.26545174102417, 106.86925451554279]
Predicted rank: [0], ambiguousness: [[0.7590447 0.2409553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [106.26545174102417, 107.00180386481473]
Predicted rank: [0], ambiguousness: [[0.59108424 0.4089158 ]]
Running local search 5
Switching 5 patient(s). Size of neighborhood: 15504
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 109.20525649330817]
Predicted rank: [0], ambiguousness: [[0.6814332  0.31856677]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 109.12250714194889]
Predicted rank: [0], ambiguousness: [[0.70496154 0.2950385 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.62086654314626]
Predicted rank: [0], ambiguousness: [[0.77040255 0.22959742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.54340039795144]
Predicted rank: [0], ambiguousness: [[0.79226995 0.20773008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.84906114350851]
Predicted rank: [0], ambiguousness: [[0.69763684 0.30236316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.97941845126121]
Predicted rank: [0], ambiguousness: [[0.7565402  0.24345985]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 109.03504834057844]
Predicted rank: [0], ambiguousness: [[0.8451185  0.15488145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 109.01996836926023]
Predicted rank: [0], ambiguousness: [[0.7554826  0.24451739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.63752610375408]
Predicted rank: [0], ambiguousness: [[0.78789824 0.21210174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.557496039421]
Predicted rank: [0], ambiguousness: [[0.8112867 0.1887133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.86293197869665]
Predicted rank: [0], ambiguousness: [[0.7282777  0.27172232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.99320622493457]
Predicted rank: [0], ambiguousness: [[0.7938349  0.20616508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 109.04880793057731]
Predicted rank: [0], ambiguousness: [[0.85122234 0.14877768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 109.03372454815107]
Predicted rank: [0], ambiguousness: [[0.75733393 0.24266605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.0379973965891]
Predicted rank: [0], ambiguousness: [[0.76387167 0.23612833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.18105299563953]
Predicted rank: [0], ambiguousness: [[0.7831856 0.2168144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 106.15488008975645]
Predicted rank: [0], ambiguousness: [[0.79385823 0.20614175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.38629506702732]
Predicted rank: [0], ambiguousness: [[0.85394335 0.14605668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.47579439717362]
Predicted rank: [0], ambiguousness: [[0.8946755  0.10532448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.46637232034382]
Predicted rank: [0], ambiguousness: [[0.83241445 0.16758554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.02674522813152]
Predicted rank: [0], ambiguousness: [[0.79798883 0.20201117]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.32904207663962]
Predicted rank: [0], ambiguousness: [[0.81439173 0.18560828]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.41117918653828]
Predicted rank: [0], ambiguousness: [[0.89855784 0.10144215]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.40190463306068]
Predicted rank: [0], ambiguousness: [[0.8538939  0.14610611]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.56666696286317]
Predicted rank: [0], ambiguousness: [[0.6982554  0.30174458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.70936795692364]
Predicted rank: [0], ambiguousness: [[0.86112493 0.13887508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.7057947848139]
Predicted rank: [0], ambiguousness: [[0.82193494 0.17806509]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.78615478217812]
Predicted rank: [0], ambiguousness: [[0.7366728  0.26332718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.82327208575506]
Predicted rank: [0], ambiguousness: [[0.7515787  0.24842133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.82704674240141]
Predicted rank: [0], ambiguousness: [[0.7989471  0.20105292]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.42410373568407]
Predicted rank: [0], ambiguousness: [[0.80143785 0.19856215]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.55832534781959]
Predicted rank: [0], ambiguousness: [[0.82701933 0.17298068]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 106.49917691631691]
Predicted rank: [0], ambiguousness: [[0.8131099  0.18689011]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.7256799488124]
Predicted rank: [0], ambiguousness: [[0.8891232  0.11087681]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.81354847546336]
Predicted rank: [0], ambiguousness: [[0.9125982  0.08740183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.80387825530866]
Predicted rank: [0], ambiguousness: [[0.84972525 0.15027472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.27936266650956]
Predicted rank: [0], ambiguousness: [[0.81962216 0.18037787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.578545593115]
Predicted rank: [0], ambiguousness: [[0.8645712  0.13542876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.66002530991366]
Predicted rank: [0], ambiguousness: [[0.9203202  0.07967979]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.65065482219285]
Predicted rank: [0], ambiguousness: [[0.8739243 0.1260757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.81293203483455]
Predicted rank: [0], ambiguousness: [[0.77377117 0.22622882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.95463297501297]
Predicted rank: [0], ambiguousness: [[0.87542105 0.12457895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.95094275196891]
Predicted rank: [0], ambiguousness: [[0.83957314 0.16042683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 109.03040289094773]
Predicted rank: [0], ambiguousness: [[0.77831674 0.22168328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 109.06722610449968]
Predicted rank: [0], ambiguousness: [[0.7977599  0.20224012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 109.07075490308182]
Predicted rank: [0], ambiguousness: [[0.84780097 0.15219906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.38092634591268]
Predicted rank: [0], ambiguousness: [[0.7947034  0.20529656]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 104.47193016712927]
Predicted rank: [0], ambiguousness: [[0.7881506 0.2118494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.86671763374629]
Predicted rank: [0], ambiguousness: [[0.7949389  0.20506105]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.12195144234593]
Predicted rank: [0], ambiguousness: [[0.8581371  0.14186294]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.21868739482889]
Predicted rank: [0], ambiguousness: [[0.8922898  0.10771018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.21052014906809]
Predicted rank: [0], ambiguousness: [[0.8194021  0.18059793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 104.5801178386571]
Predicted rank: [0], ambiguousness: [[0.7086954  0.29130456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.14795663398212]
Predicted rank: [0], ambiguousness: [[0.79290015 0.20709985]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 105.29180289639953]
Predicted rank: [0], ambiguousness: [[0.89458555 0.10541444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 105.29445521835979]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 106.0141470873863]
Predicted rank: [0], ambiguousness: [[0.8048628  0.19513722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 106.23820238440445]
Predicted rank: [0], ambiguousness: [[0.914003   0.08599699]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 106.24523260688457]
Predicted rank: [0], ambiguousness: [[0.8788719  0.12112805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 106.39863765449675]
Predicted rank: [0], ambiguousness: [[0.8454426 0.1545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 106.45811929895862]
Predicted rank: [0], ambiguousness: [[0.8525779  0.14742206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 106.48467334207523]
Predicted rank: [0], ambiguousness: [[0.8844629  0.11553711]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [106.26545174102417, 107.81963659631037]
Predicted rank: [0], ambiguousness: [[0.78096515 0.21903485]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.03349816733997]
Predicted rank: [0], ambiguousness: [[0.90690696 0.09309307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.04176880739686]
Predicted rank: [0], ambiguousness: [[0.76762605 0.23237394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.27711225050777]
Predicted rank: [0], ambiguousness: [[0.8098935  0.19010651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.33347726461409]
Predicted rank: [0], ambiguousness: [[0.8308668 0.1691332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.3589469087655]
Predicted rank: [0], ambiguousness: [[0.88701683 0.11298319]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [106.26545174102417, 108.4890194052071]
Predicted rank: [0], ambiguousness: [[0.6826787  0.31732133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [106.26545174102417, 108.5580463272284]
Predicted rank: [0], ambiguousness: [[0.7676457  0.23235427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [106.26545174102417, 108.64607091581611]
Predicted rank: [0], ambiguousness: [[0.84133816 0.15866181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [106.26545174102417, 108.69422823460596]
Predicted rank: [0], ambiguousness: [[0.59605134 0.40394866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 109.1811112187855]
Predicted rank: [0], ambiguousness: [[0.64444625 0.35555372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 109.06164122708208]
Predicted rank: [0], ambiguousness: [[0.6693809 0.3306191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.56677008829035]
Predicted rank: [0], ambiguousness: [[0.7478499  0.25215012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.48972913364085]
Predicted rank: [0], ambiguousness: [[0.7653198  0.23468015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.7953929330665]
Predicted rank: [0], ambiguousness: [[0.66362214 0.3363779 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.92575148823494]
Predicted rank: [0], ambiguousness: [[0.72655445 0.27344555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.98138180194664]
Predicted rank: [0], ambiguousness: [[0.8169845  0.18301554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.96630188669741]
Predicted rank: [0], ambiguousness: [[0.7625735  0.23742653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.47257882345639]
Predicted rank: [0], ambiguousness: [[0.7568631  0.24313687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 108.40698524482445]
Predicted rank: [0], ambiguousness: [[0.78461087 0.21538915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 108.71264599038152]
Predicted rank: [0], ambiguousness: [[0.6942895 0.3057105]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.8430032981342]
Predicted rank: [0], ambiguousness: [[0.7654055  0.23459454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.89863318745145]
Predicted rank: [0], ambiguousness: [[0.8226482  0.17735177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.88355321613324]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.8954651368773]
Predicted rank: [0], ambiguousness: [[0.7432077  0.25679234]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.04515209511199]
Predicted rank: [0], ambiguousness: [[0.7636889  0.23631106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 106.02364094550833]
Predicted rank: [0], ambiguousness: [[0.7794674  0.22053258]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.25565304749031]
Predicted rank: [0], ambiguousness: [[0.83950555 0.16049448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.34534636438516]
Predicted rank: [0], ambiguousness: [[0.8779146  0.12208539]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.33595544529541]
Predicted rank: [0], ambiguousness: [[0.83411115 0.16588886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.90869297727967]
Predicted rank: [0], ambiguousness: [[0.77944845 0.22055157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.21120624509852]
Predicted rank: [0], ambiguousness: [[0.7969737 0.2030263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.29338674738837]
Predicted rank: [0], ambiguousness: [[0.88348037 0.11651963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.28411881259686]
Predicted rank: [0], ambiguousness: [[0.8640707 0.1359293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.44903290501708]
Predicted rank: [0], ambiguousness: [[0.6742975 0.3257025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.5918011843229]
Predicted rank: [0], ambiguousness: [[0.8414654  0.15853457]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.58823607975602]
Predicted rank: [0], ambiguousness: [[0.83390474 0.16609523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.66865883692115]
Predicted rank: [0], ambiguousness: [[0.7145181 0.2854819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.70579518081433]
Predicted rank: [0], ambiguousness: [[0.7669369  0.23306309]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.70958734265601]
Predicted rank: [0], ambiguousness: [[0.81573397 0.18426603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.88646570927878]
Predicted rank: [0], ambiguousness: [[0.7621358 0.2378642]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.0625066561845]
Predicted rank: [0], ambiguousness: [[0.78461087 0.21538915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 106.0406553933172]
Predicted rank: [0], ambiguousness: [[0.80129117 0.19870882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.27248639219164]
Predicted rank: [0], ambiguousness: [[0.8642369  0.13576312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.36211592751442]
Predicted rank: [0], ambiguousness: [[0.88102984 0.11897015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.35271546765772]
Predicted rank: [0], ambiguousness: [[0.8354967  0.16450328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 107.92311480963241]
Predicted rank: [0], ambiguousness: [[0.8041264  0.19587365]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 108.2254116581405]
Predicted rank: [0], ambiguousness: [[0.82947075 0.17052925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 108.30754876803915]
Predicted rank: [0], ambiguousness: [[0.8882722  0.11172779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 108.29827421456156]
Predicted rank: [0], ambiguousness: [[0.8652465  0.13475354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 108.46303654436406]
Predicted rank: [0], ambiguousness: [[0.72268564 0.27731436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 108.60573753842453]
Predicted rank: [0], ambiguousness: [[0.8515332 0.1484668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 108.60216436631478]
Predicted rank: [0], ambiguousness: [[0.8393914  0.16060859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.682524363679]
Predicted rank: [0], ambiguousness: [[0.7400534  0.25994658]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.71964166725594]
Predicted rank: [0], ambiguousness: [[0.7851286  0.21487142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.72341632390228]
Predicted rank: [0], ambiguousness: [[0.8330554  0.16694464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 105.8890260834866]
Predicted rank: [0], ambiguousness: [[0.75357217 0.24642785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 103.90661690733073]
Predicted rank: [0], ambiguousness: [[0.7537433  0.24625674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.38750587175895]
Predicted rank: [0], ambiguousness: [[0.7613002 0.2386998]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.65094158093086]
Predicted rank: [0], ambiguousness: [[0.83268344 0.16731659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 105.75033755171665]
Predicted rank: [0], ambiguousness: [[0.8751586  0.12484141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 105.74259387495194]
Predicted rank: [0], ambiguousness: [[0.83055717 0.16944285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 104.11756960324993]
Predicted rank: [0], ambiguousness: [[0.6668384  0.33316156]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 104.70133651798088]
Predicted rank: [0], ambiguousness: [[0.7590284  0.24097162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 104.84852796370481]
Predicted rank: [0], ambiguousness: [[0.8777695  0.12223056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 104.85179847166812]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 105.60260455613779]
Predicted rank: [0], ambiguousness: [[0.77684486 0.22315513]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 105.83088035079598]
Predicted rank: [0], ambiguousness: [[0.9022146 0.0977854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 105.83844789080824]
Predicted rank: [0], ambiguousness: [[0.88939846 0.11060151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 105.99575483152353]
Predicted rank: [0], ambiguousness: [[0.8246118  0.17538823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 106.0564085170392]
Predicted rank: [0], ambiguousness: [[0.86202884 0.13797118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 106.08410699243618]
Predicted rank: [0], ambiguousness: [[0.8844695  0.11553052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [106.26545174102417, 107.50954327124094]
Predicted rank: [0], ambiguousness: [[0.74576724 0.25423276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [106.26545174102417, 107.72518093800244]
Predicted rank: [0], ambiguousness: [[0.8918187 0.1081813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [106.26545174102417, 107.73368464268657]
Predicted rank: [0], ambiguousness: [[0.7913321  0.20866786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [106.26545174102417, 107.97172196220907]
Predicted rank: [0], ambiguousness: [[0.78548706 0.21451291]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.02854958555625]
Predicted rank: [0], ambiguousness: [[0.8493871  0.15061289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.05446193950591]
Predicted rank: [0], ambiguousness: [[0.8940243  0.10597567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [106.26545174102417, 108.1868276145483]
Predicted rank: [0], ambiguousness: [[0.655499   0.34450102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [106.26545174102417, 108.2563568693478]
Predicted rank: [0], ambiguousness: [[0.79135036 0.20864962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [106.26545174102417, 108.34519624060758]
Predicted rank: [0], ambiguousness: [[0.850702   0.14929803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [106.26545174102417, 108.394299092164]
Predicted rank: [0], ambiguousness: [[0.6158836  0.38411638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.28230332834615]
Predicted rank: [0], ambiguousness: [[0.7718229  0.22817707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 104.37529168321957]
Predicted rank: [0], ambiguousness: [[0.80202466 0.19797532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.78669387672474]
Predicted rank: [0], ambiguousness: [[0.7827604  0.21723962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 106.04294122080245]
Predicted rank: [0], ambiguousness: [[0.8722178  0.12778224]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.14000029421875]
Predicted rank: [0], ambiguousness: [[0.89601636 0.10398362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.1318885135765]
Predicted rank: [0], ambiguousness: [[0.8480248  0.15197523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 104.51730013067495]
Predicted rank: [0], ambiguousness: [[0.6971868  0.30281314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.08600580392732]
Predicted rank: [0], ambiguousness: [[0.82088345 0.17911653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 105.23000987628544]
Predicted rank: [0], ambiguousness: [[0.90351266 0.09648734]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 105.2326928982462]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 105.95438877471973]
Predicted rank: [0], ambiguousness: [[0.8290713  0.17092869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 106.17860880808875]
Predicted rank: [0], ambiguousness: [[0.9112638 0.0887362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 106.1856603956303]
Predicted rank: [0], ambiguousness: [[0.90115774 0.09884225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 106.33922706386892]
Predicted rank: [0], ambiguousness: [[0.84761405 0.15238595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 106.39875240985211]
Predicted rank: [0], ambiguousness: [[0.8866048  0.11339521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 106.4253524999573]
Predicted rank: [0], ambiguousness: [[0.9100417 0.0899583]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 8]
Costs: [106.26545174102417, 107.7654033844952]
Predicted rank: [0], ambiguousness: [[0.8019154  0.19808458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 8]
Costs: [106.26545174102417, 107.9792649555248]
Predicted rank: [0], ambiguousness: [[0.90330994 0.09669004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 2, 7]
Costs: [106.26545174102417, 107.98753559558169]
Predicted rank: [0], ambiguousness: [[0.8113059  0.18869415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 8]
Costs: [106.26545174102417, 108.22287903869262]
Predicted rank: [0], ambiguousness: [[0.82128406 0.17871593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 2, 7]
Costs: [106.26545174102417, 108.27924405279896]
Predicted rank: [0], ambiguousness: [[0.8802821  0.11971791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 1, 7]
Costs: [106.26545174102417, 108.30471369695036]
Predicted rank: [0], ambiguousness: [[0.92203003 0.07796999]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 8]
Costs: [106.26545174102417, 108.43478619339194]
Predicted rank: [0], ambiguousness: [[0.70215964 0.29784033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 2, 7]
Costs: [106.26545174102417, 108.50381311541321]
Predicted rank: [0], ambiguousness: [[0.83398354 0.16601643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 1, 7]
Costs: [106.26545174102417, 108.59183770400094]
Predicted rank: [0], ambiguousness: [[0.8740822  0.12591782]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 1, 7]
Costs: [106.26545174102417, 108.6399950227908]
Predicted rank: [0], ambiguousness: [[0.69110096 0.30889904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 8]
Costs: [106.26545174102417, 106.34878049458149]
Predicted rank: [0], ambiguousness: [[0.7647277  0.23527226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 8]
Costs: [106.26545174102417, 104.2492463929884]
Predicted rank: [0], ambiguousness: [[0.7692727 0.2307273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 8]
Costs: [106.26545174102417, 105.74258484516056]
Predicted rank: [0], ambiguousness: [[0.80068725 0.19931276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 8]
Costs: [106.26545174102417, 105.99932335660407]
Predicted rank: [0], ambiguousness: [[0.83683574 0.16316424]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 8]
Costs: [106.26545174102417, 106.09661904944632]
Predicted rank: [0], ambiguousness: [[0.8902205 0.1097795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 7]
Costs: [106.26545174102417, 106.08855839006853]
Predicted rank: [0], ambiguousness: [[0.7931661  0.20683391]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 8]
Costs: [106.26545174102417, 103.18954411622178]
Predicted rank: [0], ambiguousness: [[0.6733565  0.32664353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 8]
Costs: [106.26545174102417, 103.94200522618362]
Predicted rank: [0], ambiguousness: [[0.7643801  0.23561993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 8]
Costs: [106.26545174102417, 104.11412117978696]
Predicted rank: [0], ambiguousness: [[0.87309813 0.1269019 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 7]
Costs: [106.26545174102417, 104.12242117165742]
Predicted rank: [0], ambiguousness: [[0.84381306 0.15618697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 8]
Costs: [106.26545174102417, 105.28314757013328]
Predicted rank: [0], ambiguousness: [[0.773547   0.22645302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 8]
Costs: [106.26545174102417, 105.53095475982616]
Predicted rank: [0], ambiguousness: [[0.8938634  0.10613662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 7]
Costs: [106.26545174102417, 105.54096455943757]
Predicted rank: [0], ambiguousness: [[0.87301606 0.12698394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 8]
Costs: [106.26545174102417, 105.71769168313318]
Predicted rank: [0], ambiguousness: [[0.82320154 0.1767985 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 7]
Costs: [106.26545174102417, 105.78289952260926]
Predicted rank: [0], ambiguousness: [[0.84921825 0.15078175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 7]
Costs: [106.26545174102417, 105.81639546487304]
Predicted rank: [0], ambiguousness: [[0.8855497 0.1144503]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 8]
Costs: [106.26545174102417, 103.7978455656955]
Predicted rank: [0], ambiguousness: [[0.6436974  0.35630262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 8]
Costs: [106.26545174102417, 104.16725472799547]
Predicted rank: [0], ambiguousness: [[0.8252619  0.17473812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 7]
Costs: [106.26545174102417, 104.19917794509358]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 8]
Costs: [106.26545174102417, 104.66243950846903]
Predicted rank: [0], ambiguousness: [[0.7830733  0.21692666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 7]
Costs: [106.26545174102417, 104.76375743397801]
Predicted rank: [0], ambiguousness: [[0.81087446 0.18912552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 7]
Costs: [106.26545174102417, 104.8369058724567]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 8]
Costs: [106.26545174102417, 105.52324293543563]
Predicted rank: [0], ambiguousness: [[0.7559198  0.24408017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 7]
Costs: [106.26545174102417, 105.633262767714]
Predicted rank: [0], ambiguousness: [[0.85910535 0.14089464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 7]
Costs: [106.26545174102417, 105.79455878747947]
Predicted rank: [0], ambiguousness: [[0.9144721  0.08552787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 7]
Costs: [106.26545174102417, 105.92396738260308]
Predicted rank: [0], ambiguousness: [[0.77814984 0.22185019]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 8]
Costs: [106.26545174102417, 107.35862871929947]
Predicted rank: [0], ambiguousness: [[0.71215 0.28785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 7]
Costs: [106.26545174102417, 107.46407985184058]
Predicted rank: [0], ambiguousness: [[0.72278786 0.27721214]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 7]
Costs: [106.26545174102417, 107.61864424853826]
Predicted rank: [0], ambiguousness: [[0.8817684  0.11823158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 7]
Costs: [106.26545174102417, 107.84075836610657]
Predicted rank: [0], ambiguousness: [[0.7590447 0.2409553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.0327443787341]
Predicted rank: [0], ambiguousness: [[0.59108424 0.4089158 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.5195399098993]
Predicted rank: [0], ambiguousness: [[0.52967244 0.47032756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.45124496074769]
Predicted rank: [0], ambiguousness: [[0.5571247  0.44287533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.70574625851626]
Predicted rank: [0], ambiguousness: [[0.6763834  0.32361665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.99634650767678]
Predicted rank: [0], ambiguousness: [[0.6937624  0.30623758]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 108.21647211760398]
Predicted rank: [0], ambiguousness: [[0.60481626 0.39518374]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 108.31244153068562]
Predicted rank: [0], ambiguousness: [[0.6227708  0.37722924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 108.35394946116119]
Predicted rank: [0], ambiguousness: [[0.7533012  0.24669881]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 108.34146403195032]
Predicted rank: [0], ambiguousness: [[0.75715214 0.24284786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.64799858567176]
Predicted rank: [0], ambiguousness: [[0.68688166 0.3131183 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.94476919857172]
Predicted rank: [0], ambiguousness: [[0.7167586  0.28324136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 108.16489352718938]
Predicted rank: [0], ambiguousness: [[0.6379198  0.36208022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 108.26086241912682]
Predicted rank: [0], ambiguousness: [[0.6696631  0.33033693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 108.30237017223706]
Predicted rank: [0], ambiguousness: [[0.7603577 0.2396423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 108.28988471832024]
Predicted rank: [0], ambiguousness: [[0.75733393 0.24266605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.25926091516115]
Predicted rank: [0], ambiguousness: [[0.6685506 0.3314494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.6112196886997]
Predicted rank: [0], ambiguousness: [[0.69183445 0.30816558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.28773153258875]
Predicted rank: [0], ambiguousness: [[0.7353803  0.26461968]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.45372333015673]
Predicted rank: [0], ambiguousness: [[0.78473604 0.21526393]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.51872576509695]
Predicted rank: [0], ambiguousness: [[0.8479981 0.1520019]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.51029475659385]
Predicted rank: [0], ambiguousness: [[0.8398579  0.16014211]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.54180313480526]
Predicted rank: [0], ambiguousness: [[0.6690594  0.33094063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.763919541068]
Predicted rank: [0], ambiguousness: [[0.7316842  0.26831582]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.82513888639141]
Predicted rank: [0], ambiguousness: [[0.852914   0.14708602]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.81701737259469]
Predicted rank: [0], ambiguousness: [[0.86054313 0.13945687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.93187065800578]
Predicted rank: [0], ambiguousness: [[0.6003337  0.39966634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 108.03925943693227]
Predicted rank: [0], ambiguousness: [[0.8192689 0.1807311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 108.03558264255707]
Predicted rank: [0], ambiguousness: [[0.82974863 0.1702514 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 108.09372483813468]
Predicted rank: [0], ambiguousness: [[0.60928917 0.3907108 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 108.1214382176228]
Predicted rank: [0], ambiguousness: [[0.76158416 0.23841584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 108.12250969188395]
Predicted rank: [0], ambiguousness: [[0.80753326 0.19246672]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.24193904888931]
Predicted rank: [0], ambiguousness: [[0.6906915  0.30930853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.60899347589825]
Predicted rank: [0], ambiguousness: [[0.7167586  0.28324136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.28571040330917]
Predicted rank: [0], ambiguousness: [[0.76022494 0.23977508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.45165287583661]
Predicted rank: [0], ambiguousness: [[0.8160579  0.18394206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.51663655752762]
Predicted rank: [0], ambiguousness: [[0.8517478 0.1482522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.50820278151467]
Predicted rank: [0], ambiguousness: [[0.84120464 0.15879539]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.53947381512207]
Predicted rank: [0], ambiguousness: [[0.7013565  0.29864353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.7614894643873]
Predicted rank: [0], ambiguousness: [[0.77163726 0.22836275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.82268856851948]
Predicted rank: [0], ambiguousness: [[0.8587619  0.14123812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.81456384906714]
Predicted rank: [0], ambiguousness: [[0.8617445  0.13825546]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.9293459882731]
Predicted rank: [0], ambiguousness: [[0.65407294 0.34592706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 108.0367034814901]
Predicted rank: [0], ambiguousness: [[0.8304623  0.16953774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 108.03302281608461]
Predicted rank: [0], ambiguousness: [[0.8353454  0.16465458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 108.09113578397306]
Predicted rank: [0], ambiguousness: [[0.6394878 0.3605122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 108.11884023337726]
Predicted rank: [0], ambiguousness: [[0.78007376 0.21992624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 108.11990345021977]
Predicted rank: [0], ambiguousness: [[0.8254606  0.17453939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.23337511062618]
Predicted rank: [0], ambiguousness: [[0.6384984  0.36150157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.85190888908828]
Predicted rank: [0], ambiguousness: [[0.68013126 0.31986874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.8516310663046]
Predicted rank: [0], ambiguousness: [[0.7200866 0.2799134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.03796360962473]
Predicted rank: [0], ambiguousness: [[0.77620655 0.22379346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.10923259336357]
Predicted rank: [0], ambiguousness: [[0.84322524 0.15677479]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.10189145387959]
Predicted rank: [0], ambiguousness: [[0.83487916 0.16512081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.9061210753829]
Predicted rank: [0], ambiguousness: [[0.57076246 0.42923754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.31984156864925]
Predicted rank: [0], ambiguousness: [[0.6863388 0.3136612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.42568182654185]
Predicted rank: [0], ambiguousness: [[0.8459661 0.1540339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.4263382112675]
Predicted rank: [0], ambiguousness: [[0.8538939  0.14610611]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.93828274612775]
Predicted rank: [0], ambiguousness: [[0.7341567 0.2658433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.1045469133601]
Predicted rank: [0], ambiguousness: [[0.8887207  0.11127933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.1086933317786]
Predicted rank: [0], ambiguousness: [[0.88993716 0.11006287]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 106.2198414233182]
Predicted rank: [0], ambiguousness: [[0.7666733  0.23332669]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.2638416135591]
Predicted rank: [0], ambiguousness: [[0.86567795 0.13432203]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.28154480572404]
Predicted rank: [0], ambiguousness: [[0.886315   0.11368504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.20469789072702]
Predicted rank: [0], ambiguousness: [[0.610809   0.38919097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.36558783035971]
Predicted rank: [0], ambiguousness: [[0.8384942 0.1615058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.37089450439575]
Predicted rank: [0], ambiguousness: [[0.78638357 0.21361643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.54431460340173]
Predicted rank: [0], ambiguousness: [[0.7183746 0.2816254]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.58664346440557]
Predicted rank: [0], ambiguousness: [[0.8455466  0.15445338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.60418639619748]
Predicted rank: [0], ambiguousness: [[0.8888331  0.11116688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.69434598161709]
Predicted rank: [0], ambiguousness: [[0.580603   0.41939703]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.74662898131038]
Predicted rank: [0], ambiguousness: [[0.78640217 0.21359785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.81198303041594]
Predicted rank: [0], ambiguousness: [[0.8437595  0.15624054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.84473004649016]
Predicted rank: [0], ambiguousness: [[0.60043824 0.3995618 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.43518268870037]
Predicted rank: [0], ambiguousness: [[0.66144276 0.3385572 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.09275848765833]
Predicted rank: [0], ambiguousness: [[0.73782516 0.26217487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.05752543208348]
Predicted rank: [0], ambiguousness: [[0.74400616 0.25599387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.24019421425587]
Predicted rank: [0], ambiguousness: [[0.82630175 0.17369823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.31027187895558]
Predicted rank: [0], ambiguousness: [[0.8686173  0.13138273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.30273654892342]
Predicted rank: [0], ambiguousness: [[0.8519807  0.14801933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.11308768198688]
Predicted rank: [0], ambiguousness: [[0.60467434 0.39532566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.51906708112085]
Predicted rank: [0], ambiguousness: [[0.76097685 0.23902315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.62326460060262]
Predicted rank: [0], ambiguousness: [[0.87747246 0.12252754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.62361123543234]
Predicted rank: [0], ambiguousness: [[0.8739243 0.1260757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 106.12059974535529]
Predicted rank: [0], ambiguousness: [[0.7937209  0.20627908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.28477649651076]
Predicted rank: [0], ambiguousness: [[0.8988787  0.10112132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.28865097571216]
Predicted rank: [0], ambiguousness: [[0.9016455  0.09835453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 106.39786971354562]
Predicted rank: [0], ambiguousness: [[0.7953888  0.20461121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.44128521839744]
Predicted rank: [0], ambiguousness: [[0.88968706 0.11031292]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.45841658124004]
Predicted rank: [0], ambiguousness: [[0.9115195  0.08848045]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.337572749029]
Predicted rank: [0], ambiguousness: [[0.68413925 0.31586078]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.49754133012127]
Predicted rank: [0], ambiguousness: [[0.85472697 0.14527301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.50272435098225]
Predicted rank: [0], ambiguousness: [[0.8067153 0.1932847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.67474634721808]
Predicted rank: [0], ambiguousness: [[0.76197726 0.23802274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.71683357002611]
Predicted rank: [0], ambiguousness: [[0.87711537 0.1228846 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.73414401459215]
Predicted rank: [0], ambiguousness: [[0.9180849  0.08191507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.82310551742793]
Predicted rank: [0], ambiguousness: [[0.6317083  0.36829168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.8751264186929]
Predicted rank: [0], ambiguousness: [[0.829829   0.17017104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.94005608576322]
Predicted rank: [0], ambiguousness: [[0.86805826 0.13194175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.97230912589428]
Predicted rank: [0], ambiguousness: [[0.6770943  0.32290572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.47372534140138]
Predicted rank: [0], ambiguousness: [[0.683514   0.31648597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.00768065476652]
Predicted rank: [0], ambiguousness: [[0.6743478  0.32565218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.0246608517754]
Predicted rank: [0], ambiguousness: [[0.7537266 0.2462734]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.20768952870715]
Predicted rank: [0], ambiguousness: [[0.74762166 0.25237837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.27793152019025]
Predicted rank: [0], ambiguousness: [[0.8451823 0.1548177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.27043130598148]
Predicted rank: [0], ambiguousness: [[0.79821014 0.20178983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.23401290602413]
Predicted rank: [0], ambiguousness: [[0.56628513 0.43371484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.76032504999625]
Predicted rank: [0], ambiguousness: [[0.6823962 0.3176038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.88294642986062]
Predicted rank: [0], ambiguousness: [[0.83378977 0.16621025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.88702557679869]
Predicted rank: [0], ambiguousness: [[0.8398572  0.16014281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.67184365749108]
Predicted rank: [0], ambiguousness: [[0.7260542  0.27394578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.85145667997097]
Predicted rank: [0], ambiguousness: [[0.87699664 0.12300333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.85729970159888]
Predicted rank: [0], ambiguousness: [[0.87641627 0.12358375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.9817555882046]
Predicted rank: [0], ambiguousness: [[0.75623786 0.2437621 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.0289076301603]
Predicted rank: [0], ambiguousness: [[0.85314846 0.14685151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.05058279593948]
Predicted rank: [0], ambiguousness: [[0.8862667 0.1137333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 104.57412197663567]
Predicted rank: [0], ambiguousness: [[0.5169498  0.48305026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 104.84147838559129]
Predicted rank: [0], ambiguousness: [[0.76707196 0.23292801]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 104.8632222965868]
Predicted rank: [0], ambiguousness: [[0.76762605 0.23237394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.1919612611139]
Predicted rank: [0], ambiguousness: [[0.70566225 0.29433778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.26522537480723]
Predicted rank: [0], ambiguousness: [[0.8062759  0.19372411]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.31574304772944]
Predicted rank: [0], ambiguousness: [[0.88701683 0.11298319]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 105.78581390387134]
Predicted rank: [0], ambiguousness: [[0.7013897  0.29861033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 105.86639322584257]
Predicted rank: [0], ambiguousness: [[0.8597683  0.14023171]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 105.98233503861252]
Predicted rank: [0], ambiguousness: [[0.91301817 0.08698183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 106.07131869393909]
Predicted rank: [0], ambiguousness: [[0.7774445  0.22255552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.01647452985371]
Predicted rank: [0], ambiguousness: [[0.55859053 0.4414095 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.09541925839997]
Predicted rank: [0], ambiguousness: [[0.71679544 0.28320453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.20933621811898]
Predicted rank: [0], ambiguousness: [[0.87606007 0.12393994]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.36924078732258]
Predicted rank: [0], ambiguousness: [[0.74699104 0.253009  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [106.26545174102417, 107.50179013659454]
Predicted rank: [0], ambiguousness: [[0.5753292  0.42467085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.51641574726762]
Predicted rank: [0], ambiguousness: [[0.53432    0.46567997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 108.44198048962438]
Predicted rank: [0], ambiguousness: [[0.5730539 0.4269461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.69662259518361]
Predicted rank: [0], ambiguousness: [[0.67484653 0.32515347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.98722284434413]
Predicted rank: [0], ambiguousness: [[0.7073586  0.29264143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 108.20734845427134]
Predicted rank: [0], ambiguousness: [[0.62019956 0.37980044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 108.30331786735297]
Predicted rank: [0], ambiguousness: [[0.63787353 0.36212644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 108.34482579782852]
Predicted rank: [0], ambiguousness: [[0.75711775 0.24288225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 108.33234036861768]
Predicted rank: [0], ambiguousness: [[0.7625735  0.23742653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.62182842194858]
Predicted rank: [0], ambiguousness: [[0.6853715 0.3146285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 107.9189278951925]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 108.1390535051197]
Predicted rank: [0], ambiguousness: [[0.6527543  0.34724572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 108.23502291820134]
Predicted rank: [0], ambiguousness: [[0.6838415  0.31615847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 108.27653084867691]
Predicted rank: [0], ambiguousness: [[0.76409924 0.23590073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 108.26404541946604]
Predicted rank: [0], ambiguousness: [[0.7627524  0.23724762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.2360944475901]
Predicted rank: [0], ambiguousness: [[0.6811485 0.3188515]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.58820303095689]
Predicted rank: [0], ambiguousness: [[0.7073586  0.29264143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.26478423250273]
Predicted rank: [0], ambiguousness: [[0.7512058 0.2487942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.43078389444082]
Predicted rank: [0], ambiguousness: [[0.79427683 0.20572318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.49578883902302]
Predicted rank: [0], ambiguousness: [[0.84827477 0.15172523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.48735825860356]
Predicted rank: [0], ambiguousness: [[0.84136045 0.15863958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.51904569496807]
Predicted rank: [0], ambiguousness: [[0.6852088 0.3147912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.74116347159563]
Predicted rank: [0], ambiguousness: [[0.74593806 0.25406197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.80238308522928]
Predicted rank: [0], ambiguousness: [[0.8566015  0.14339852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.79426161543901]
Predicted rank: [0], ambiguousness: [[0.86513114 0.13486883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.90911571210376]
Predicted rank: [0], ambiguousness: [[0.6179216 0.3820784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 108.0165049183997]
Predicted rank: [0], ambiguousness: [[0.82362545 0.17637452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 108.01282817770863]
Predicted rank: [0], ambiguousness: [[0.8351557 0.1648443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 108.07097076883576]
Predicted rank: [0], ambiguousness: [[0.62672806 0.37327197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 108.09868426749375]
Predicted rank: [0], ambiguousness: [[0.76855224 0.23144777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 108.09975585870443]
Predicted rank: [0], ambiguousness: [[0.8170917  0.18290827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.1531209584755]
Predicted rank: [0], ambiguousness: [[0.6915627 0.3084373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 105.52728851347305]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.20657825588148]
Predicted rank: [0], ambiguousness: [[0.7655829  0.23441708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.37283715430196]
Predicted rank: [0], ambiguousness: [[0.81666976 0.18333025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.43792313314684]
Predicted rank: [0], ambiguousness: [[0.845167   0.15483302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.429506446564]
Predicted rank: [0], ambiguousness: [[0.8354967  0.16450328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 107.4674704118333]
Predicted rank: [0], ambiguousness: [[0.7147541  0.28524593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 107.68958681809602]
Predicted rank: [0], ambiguousness: [[0.78285813 0.21714187]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 107.75080616341943]
Predicted rank: [0], ambiguousness: [[0.8612474  0.13875256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 107.7426846496227]
Predicted rank: [0], ambiguousness: [[0.8652465  0.13475354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.85753793503382]
Predicted rank: [0], ambiguousness: [[0.6685895  0.33141056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.96492671396028]
Predicted rank: [0], ambiguousness: [[0.8333492  0.16665079]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.9612499195851]
Predicted rank: [0], ambiguousness: [[0.8393914  0.16060859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 108.0193921151627]
Predicted rank: [0], ambiguousness: [[0.65429294 0.3457071 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 108.04710549465082]
Predicted rank: [0], ambiguousness: [[0.7851286  0.21487142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 108.04817696891197]
Predicted rank: [0], ambiguousness: [[0.8330554  0.16694464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.16277885625072]
Predicted rank: [0], ambiguousness: [[0.64178926 0.35821074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.77689634605181]
Predicted rank: [0], ambiguousness: [[0.70547986 0.29452017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.78299348394754]
Predicted rank: [0], ambiguousness: [[0.7317083  0.26829174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.96985226204183]
Predicted rank: [0], ambiguousness: [[0.78619    0.21381003]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.04128954117425]
Predicted rank: [0], ambiguousness: [[0.8450985 0.1549015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.03397713660664]
Predicted rank: [0], ambiguousness: [[0.83806705 0.16193298]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.84020466271858]
Predicted rank: [0], ambiguousness: [[0.5996767 0.4003233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.25485206906748]
Predicted rank: [0], ambiguousness: [[0.7114042  0.28859583]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.36088079559909]
Predicted rank: [0], ambiguousness: [[0.85548514 0.14451486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.36157378441317]
Predicted rank: [0], ambiguousness: [[0.8640707 0.1359293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.87547212486461]
Predicted rank: [0], ambiguousness: [[0.75021744 0.24978258]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.04196217238135]
Predicted rank: [0], ambiguousness: [[0.89259446 0.10740554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.04613840436106]
Predicted rank: [0], ambiguousness: [[0.89463127 0.1053687 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 106.15750010546218]
Predicted rank: [0], ambiguousness: [[0.7769599  0.22304013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.20156238772434]
Predicted rank: [0], ambiguousness: [[0.86836493 0.13163507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.21932864244543]
Predicted rank: [0], ambiguousness: [[0.88990664 0.11009336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.14832443898939]
Predicted rank: [0], ambiguousness: [[0.63873315 0.36126688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.30927109489102]
Predicted rank: [0], ambiguousness: [[0.84839225 0.15160777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.31458531707801]
Predicted rank: [0], ambiguousness: [[0.8001622 0.1998378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.48809386078956]
Predicted rank: [0], ambiguousness: [[0.74184287 0.25815716]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.53043672633191]
Predicted rank: [0], ambiguousness: [[0.8562069 0.1437931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.54799395602939]
Predicted rank: [0], ambiguousness: [[0.8990631  0.10093688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.63821816887388]
Predicted rank: [0], ambiguousness: [[0.6093081  0.39069188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.69051662646089]
Predicted rank: [0], ambiguousness: [[0.80017984 0.19982013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.75589694307806]
Predicted rank: [0], ambiguousness: [[0.85747224 0.14252777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.7886752860636]
Predicted rank: [0], ambiguousness: [[0.628654 0.371346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.12602000619849]
Predicted rank: [0], ambiguousness: [[0.6259322  0.37406778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.7470100520741]
Predicted rank: [0], ambiguousness: [[0.72973156 0.27026847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.7647068184057]
Predicted rank: [0], ambiguousness: [[0.75678355 0.24321644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.95214196086425]
Predicted rank: [0], ambiguousness: [[0.81734955 0.18265048]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.0237616241896]
Predicted rank: [0], ambiguousness: [[0.848907   0.15109302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.01648214429298]
Predicted rank: [0], ambiguousness: [[0.8394259  0.16057408]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.83799335860795]
Predicted rank: [0], ambiguousness: [[0.63505155 0.36494845]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.25267086448872]
Predicted rank: [0], ambiguousness: [[0.7533591  0.24664095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 105.35868572597866]
Predicted rank: [0], ambiguousness: [[0.8612474  0.13875256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 105.3593766927116]
Predicted rank: [0], ambiguousness: [[0.8652465  0.13475354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.87353800501545]
Predicted rank: [0], ambiguousness: [[0.7878301  0.21216992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 106.03998409961898]
Predicted rank: [0], ambiguousness: [[0.8981661  0.10183388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 106.04415459058248]
Predicted rank: [0], ambiguousness: [[0.89835644 0.10164356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 106.15548167182973]
Predicted rank: [0], ambiguousness: [[0.79557115 0.20442884]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 106.19953039644957]
Predicted rank: [0], ambiguousness: [[0.8798796  0.12012038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.21728493907113]
Predicted rank: [0], ambiguousness: [[0.89948404 0.10051595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 107.14609475350004]
Predicted rank: [0], ambiguousness: [[0.6751181  0.32488194]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 107.30698469313276]
Predicted rank: [0], ambiguousness: [[0.85809433 0.1419057 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 107.31229136716877]
Predicted rank: [0], ambiguousness: [[0.80650485 0.19349517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 107.48571146617476]
Predicted rank: [0], ambiguousness: [[0.7657354  0.23426458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 107.52804032717859]
Predicted rank: [0], ambiguousness: [[0.8686242  0.13137582]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 107.54558325897051]
Predicted rank: [0], ambiguousness: [[0.9094212 0.0905788]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 107.63574284439011]
Predicted rank: [0], ambiguousness: [[0.6365422  0.36345777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.68802584408343]
Predicted rank: [0], ambiguousness: [[0.81874555 0.18125446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.75337989318896]
Predicted rank: [0], ambiguousness: [[0.874822   0.12517801]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.78612690926317]
Predicted rank: [0], ambiguousness: [[0.6679696  0.33203042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.2062919527026]
Predicted rank: [0], ambiguousness: [[0.68832535 0.31167465]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.68332250219859]
Predicted rank: [0], ambiguousness: [[0.6836829  0.31631708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.75607252942517]
Predicted rank: [0], ambiguousness: [[0.74126655 0.25873345]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 105.94351253553063]
Predicted rank: [0], ambiguousness: [[0.7349614  0.26503864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.01519235556889]
Predicted rank: [0], ambiguousness: [[0.8401614  0.15983862]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.0079307847312]
Predicted rank: [0], ambiguousness: [[0.7964197 0.2035803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 103.90987811484936]
Predicted rank: [0], ambiguousness: [[0.5865652 0.4134348]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.4549144159461]
Predicted rank: [0], ambiguousness: [[0.70012206 0.29987794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.58087969331717]
Predicted rank: [0], ambiguousness: [[0.84863716 0.15136284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.5856138174608]
Predicted rank: [0], ambiguousness: [[0.8575618  0.14243819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.41212441429302]
Predicted rank: [0], ambiguousness: [[0.7304739  0.26952612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.59524614341888]
Predicted rank: [0], ambiguousness: [[0.8823398  0.11766025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.60154241328783]
Predicted rank: [0], ambiguousness: [[0.8845459  0.11545407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.72930447809037]
Predicted rank: [0], ambiguousness: [[0.7682132 0.2317868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.77738682037668]
Predicted rank: [0], ambiguousness: [[0.86256874 0.13743128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.80005281932755]
Predicted rank: [0], ambiguousness: [[0.8873866  0.11261339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 104.32188493331995]
Predicted rank: [0], ambiguousness: [[0.5376532  0.46234682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 104.59373242619029]
Predicted rank: [0], ambiguousness: [[0.7863521 0.2136479]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 104.61615160998846]
Predicted rank: [0], ambiguousness: [[0.7913321  0.20866786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 104.95204768025951]
Predicted rank: [0], ambiguousness: [[0.7313012  0.26869878]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.02655300835141]
Predicted rank: [0], ambiguousness: [[0.826928   0.17307197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.07838465887548]
Predicted rank: [0], ambiguousness: [[0.8940243  0.10597567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 105.56463338791099]
Predicted rank: [0], ambiguousness: [[0.72594106 0.27405897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 105.64630028987564]
Predicted rank: [0], ambiguousness: [[0.8717127  0.12828735]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 105.7641506661632]
Predicted rank: [0], ambiguousness: [[0.91588897 0.08411106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 105.85534523800422]
Predicted rank: [0], ambiguousness: [[0.78128475 0.21871527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [106.26545174102417, 106.84981587564425]
Predicted rank: [0], ambiguousness: [[0.59648573 0.40351424]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [106.26545174102417, 106.92921116152617]
Predicted rank: [0], ambiguousness: [[0.7439575 0.2560425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.04393308430699]
Predicted rank: [0], ambiguousness: [[0.88365805 0.11634196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.2053702110563]
Predicted rank: [0], ambiguousness: [[0.7623671  0.23763289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [106.26545174102417, 107.33958156251575]
Predicted rank: [0], ambiguousness: [[0.5954884 0.4045116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [106.26545174102417, 106.40542782735045]
Predicted rank: [0], ambiguousness: [[0.6929714 0.3070286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.92996454104909]
Predicted rank: [0], ambiguousness: [[0.7135427  0.28645733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 105.96464039184936]
Predicted rank: [0], ambiguousness: [[0.74157345 0.25842652]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.14835666139857]
Predicted rank: [0], ambiguousness: [[0.75414073 0.24585927]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.21882314654755]
Predicted rank: [0], ambiguousness: [[0.85137045 0.14862956]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.2113631563898]
Predicted rank: [0], ambiguousness: [[0.79816866 0.20183134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.17174369163705]
Predicted rank: [0], ambiguousness: [[0.6200597 0.3799403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.70181544106373]
Predicted rank: [0], ambiguousness: [[0.77256715 0.22743286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.82502912302363]
Predicted rank: [0], ambiguousness: [[0.8796749 0.1203251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.82922867285288]
Predicted rank: [0], ambiguousness: [[0.8771617 0.1228383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.62337589239468]
Predicted rank: [0], ambiguousness: [[0.7906279 0.2093721]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.80348463902831]
Predicted rank: [0], ambiguousness: [[0.89301014 0.10698987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.80939106560251]
Predicted rank: [0], ambiguousness: [[0.89676124 0.10323875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.9343157103617]
Predicted rank: [0], ambiguousness: [[0.7967894 0.2032106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.98158963636257]
Predicted rank: [0], ambiguousness: [[0.8870611 0.1129389]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 106.0034109010763]
Predicted rank: [0], ambiguousness: [[0.9123771  0.08762289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 104.53617290673844]
Predicted rank: [0], ambiguousness: [[0.616104   0.38389596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 104.80378162892335]
Predicted rank: [0], ambiguousness: [[0.80661696 0.19338305]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 104.82556380653874]
Predicted rank: [0], ambiguousness: [[0.8113059  0.18869415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.15475621429015]
Predicted rank: [0], ambiguousness: [[0.77353346 0.22646652]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.22808576210372]
Predicted rank: [0], ambiguousness: [[0.8616798  0.13832021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.27867651463183]
Predicted rank: [0], ambiguousness: [[0.92203003 0.07796999]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 105.74994473638836]
Predicted rank: [0], ambiguousness: [[0.7557263  0.24427372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 105.83057103355014]
Predicted rank: [0], ambiguousness: [[0.8962471 0.1037529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 105.94659904757005]
Predicted rank: [0], ambiguousness: [[0.9287186  0.07128135]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 106.03568725429652]
Predicted rank: [0], ambiguousness: [[0.82452184 0.17547818]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [106.26545174102417, 106.98397887923389]
Predicted rank: [0], ambiguousness: [[0.63101363 0.36898637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 2, 6]
Costs: [106.26545174102417, 107.06292360778014]
Predicted rank: [0], ambiguousness: [[0.7822972  0.21770282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 1, 6]
Costs: [106.26545174102417, 107.17684056749914]
Predicted rank: [0], ambiguousness: [[0.90246904 0.09753099]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 1, 6]
Costs: [106.26545174102417, 107.33674513670275]
Predicted rank: [0], ambiguousness: [[0.81740445 0.18259555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 1, 6]
Costs: [106.26545174102417, 107.4692944859747]
Predicted rank: [0], ambiguousness: [[0.67603314 0.32396686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [106.26545174102417, 104.98547113981968]
Predicted rank: [0], ambiguousness: [[0.70640975 0.29359025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [106.26545174102417, 106.00437044428813]
Predicted rank: [0], ambiguousness: [[0.7545306  0.24546939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [106.26545174102417, 106.1873991212199]
Predicted rank: [0], ambiguousness: [[0.786942 0.213058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [106.26545174102417, 106.257641112703]
Predicted rank: [0], ambiguousness: [[0.84457475 0.15542527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 0, 1, 1, 1, 2, 6]
Costs: [106.26545174102417, 106.25014089849424]
Predicted rank: [0], ambiguousness: [[0.835097   0.16490297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [106.26545174102417, 104.06379128791045]
Predicted rank: [0], ambiguousness: [[0.5934481 0.4065519]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [106.26545174102417, 104.61247274127132]
Predicted rank: [0], ambiguousness: [[0.67609596 0.323904  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [106.26545174102417, 104.73790222012191]
Predicted rank: [0], ambiguousness: [[0.84822106 0.15177894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 6]
Costs: [106.26545174102417, 104.74257104244316]
Predicted rank: [0], ambiguousness: [[0.8195929 0.1804071]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [106.26545174102417, 105.58984606482545]
Predicted rank: [0], ambiguousness: [[0.67478585 0.32521412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [106.26545174102417, 105.77041586590732]
Predicted rank: [0], ambiguousness: [[0.9012948  0.09870514]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 6]
Costs: [106.26545174102417, 105.77637975850269]
Predicted rank: [0], ambiguousness: [[0.877909   0.12209099]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [106.26545174102417, 105.90154878707173]
Predicted rank: [0], ambiguousness: [[0.74255055 0.25744945]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 6]
Costs: [106.26545174102417, 105.94893525214138]
Predicted rank: [0], ambiguousness: [[0.8087553  0.19124472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 6]
Costs: [106.26545174102417, 105.97090076087977]
Predicted rank: [0], ambiguousness: [[0.8903625 0.1096375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [106.26545174102417, 103.56826323163583]
Predicted rank: [0], ambiguousness: [[0.53311306 0.46688694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [106.26545174102417, 103.89273116926154]
Predicted rank: [0], ambiguousness: [[0.7707404  0.22925963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 6]
Costs: [106.26545174102417, 103.92278344491123]
Predicted rank: [0], ambiguousness: [[0.77288365 0.22711636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [106.26545174102417, 104.36307765480633]
Predicted rank: [0], ambiguousness: [[0.7189441  0.28105593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 6]
Costs: [106.26545174102417, 104.44927799358913]
Predicted rank: [0], ambiguousness: [[0.81087446 0.18912552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 6]
Costs: [106.26545174102417, 104.51508621978167]
Predicted rank: [0], ambiguousness: [[0.89228255 0.10771743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [106.26545174102417, 105.28292621992537]
Predicted rank: [0], ambiguousness: [[0.6974399  0.30256006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 6]
Costs: [106.26545174102417, 105.37079439058509]
Predicted rank: [0], ambiguousness: [[0.8531432  0.14685678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 6]
Costs: [106.26545174102417, 105.50116829812288]
Predicted rank: [0], ambiguousness: [[0.91060907 0.08939091]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 6]
Costs: [106.26545174102417, 105.60726147952545]
Predicted rank: [0], ambiguousness: [[0.77893376 0.22106625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [106.26545174102417, 104.0819702159925]
Predicted rank: [1], ambiguousness: [[0.48391253 0.5160875 ]]
Found better solution: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.6348471075932]
Predicted rank: [0], ambiguousness: [[0.6386349  0.36136505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.5819564877723]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.32394688268857]
Predicted rank: [0], ambiguousness: [[0.57802755 0.42197245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.54370646812812]
Predicted rank: [0], ambiguousness: [[0.619866 0.380134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.5144111388262]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.2213586074441]
Predicted rank: [0], ambiguousness: [[0.7023883  0.29761174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.37758183088162]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.45977077970767]
Predicted rank: [0], ambiguousness: [[0.65632725 0.34367278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.52626221762223]
Predicted rank: [0], ambiguousness: [[0.6801319  0.31986806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.02862402000463]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.13478435793691]
Predicted rank: [0], ambiguousness: [[0.6759224 0.3240776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.64597950449499]
Predicted rank: [0], ambiguousness: [[0.641921   0.35807902]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.07073047837306]
Predicted rank: [0], ambiguousness: [[0.68092144 0.31907853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.51221051447251]
Predicted rank: [0], ambiguousness: [[0.6386349  0.36136505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.616916323043]
Predicted rank: [0], ambiguousness: [[0.7658682  0.23413183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.8489797090719]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.96715979837316]
Predicted rank: [0], ambiguousness: [[0.6773795 0.3226205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.0596495572039]
Predicted rank: [0], ambiguousness: [[0.74481475 0.25518528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.39189928559342]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.82393315446839]
Predicted rank: [0], ambiguousness: [[0.5621421  0.43785793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.04369273990791]
Predicted rank: [0], ambiguousness: [[0.6044779  0.39552212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.01439741060601]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.72134487922389]
Predicted rank: [0], ambiguousness: [[0.70385206 0.2961479 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.87756810266143]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.95975705148747]
Predicted rank: [0], ambiguousness: [[0.64156157 0.35843843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.02624848940204]
Predicted rank: [0], ambiguousness: [[0.6658684 0.3341316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.52861029178442]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.75656324305847]
Predicted rank: [0], ambiguousness: [[0.59122115 0.40877885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.7544482512273]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.66369377874216]
Predicted rank: [0], ambiguousness: [[0.57802755 0.42197245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.45218619848805]
Predicted rank: [0], ambiguousness: [[0.715185 0.284815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.61517400748687]
Predicted rank: [0], ambiguousness: [[0.7240965  0.27590352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.69976036956837]
Predicted rank: [0], ambiguousness: [[0.6701745  0.32982555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.76748704229283]
Predicted rank: [0], ambiguousness: [[0.69346803 0.30653197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.26472894550554]
Predicted rank: [0], ambiguousness: [[0.56817794 0.43182206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.9473712936348]
Predicted rank: [0], ambiguousness: [[0.619866 0.380134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.6823846325439]
Predicted rank: [0], ambiguousness: [[0.73806983 0.26193017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.8390365719542]
Predicted rank: [0], ambiguousness: [[0.7575275  0.24247251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.92139266854522]
Predicted rank: [0], ambiguousness: [[0.67764497 0.32235506]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.9879579273659]
Predicted rank: [0], ambiguousness: [[0.7475043 0.2524957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.49005946469917]
Predicted rank: [0], ambiguousness: [[0.6352349 0.3647651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.8200338399726]
Predicted rank: [0], ambiguousness: [[0.5748209  0.42517915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.33715267100189]
Predicted rank: [0], ambiguousness: [[0.66244686 0.33755317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.74236971662407]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.86611770968312]
Predicted rank: [0], ambiguousness: [[0.65632725 0.34367278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.95001557212947]
Predicted rank: [0], ambiguousness: [[0.6801319  0.31986806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.40098863259024]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.41449297298153]
Predicted rank: [0], ambiguousness: [[0.74788195 0.25211805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.57842780108304]
Predicted rank: [0], ambiguousness: [[0.79596376 0.20403627]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.65998045755234]
Predicted rank: [0], ambiguousness: [[0.83182466 0.16817532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.13645717371291]
Predicted rank: [0], ambiguousness: [[0.7159287  0.28407133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.70536799478987]
Predicted rank: [0], ambiguousness: [[0.69990385 0.30009615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.81428794344723]
Predicted rank: [0], ambiguousness: [[0.7597173  0.24028271]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.29321737024134]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.88307747854586]
Predicted rank: [0], ambiguousness: [[0.66344273 0.3365573 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.36642570150096]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.40579339498699]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.42439191372938]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.1459167548387]
Predicted rank: [0], ambiguousness: [[0.6790398  0.32096022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.57066772871676]
Predicted rank: [0], ambiguousness: [[0.7157874 0.2842126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.01214776481623]
Predicted rank: [0], ambiguousness: [[0.6759224 0.3240776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.11685357338669]
Predicted rank: [0], ambiguousness: [[0.7960636  0.20393641]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.3489169594156]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.46709704871687]
Predicted rank: [0], ambiguousness: [[0.7124691  0.28753093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.55958680754762]
Predicted rank: [0], ambiguousness: [[0.77500594 0.22499403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.89183653593713]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.00393712565494]
Predicted rank: [0], ambiguousness: [[0.65431166 0.34568837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.02242550690792]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.3448020777115]
Predicted rank: [0], ambiguousness: [[0.641921   0.35807902]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.60658576401539]
Predicted rank: [0], ambiguousness: [[0.76841676 0.23158321]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.85165394107759]
Predicted rank: [0], ambiguousness: [[0.76603496 0.23396507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.97445395363896]
Predicted rank: [0], ambiguousness: [[0.6804895  0.31951052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.06933198256307]
Predicted rank: [0], ambiguousness: [[0.747517   0.25248304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.39152964609937]
Predicted rank: [0], ambiguousness: [[0.56817794 0.43182206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.898657133931]
Predicted rank: [0], ambiguousness: [[0.68092144 0.31907853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.05159064482751]
Predicted rank: [0], ambiguousness: [[0.78829056 0.21170942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.28438214740297]
Predicted rank: [0], ambiguousness: [[0.79581726 0.20418274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.40284745303828]
Predicted rank: [0], ambiguousness: [[0.6878352 0.3121648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.49546365517293]
Predicted rank: [0], ambiguousness: [[0.79484415 0.20515588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.82726053908108]
Predicted rank: [0], ambiguousness: [[0.6352349 0.3647651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.70613092817801]
Predicted rank: [0], ambiguousness: [[0.65146637 0.34853363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.00774061063763]
Predicted rank: [0], ambiguousness: [[0.7311856  0.26881438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.62315916172403]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.80466619697057]
Predicted rank: [0], ambiguousness: [[0.6773795 0.3226205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.92376111545136]
Predicted rank: [0], ambiguousness: [[0.74481475 0.25518528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.17616968513212]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.6822058205313]
Predicted rank: [0], ambiguousness: [[0.79515254 0.20484747]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.91936578787238]
Predicted rank: [0], ambiguousness: [[0.8236891  0.17631093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.03356318290616]
Predicted rank: [0], ambiguousness: [[0.87269986 0.12730017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.32784476596419]
Predicted rank: [0], ambiguousness: [[0.7159287  0.28407133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.11093611286049]
Predicted rank: [0], ambiguousness: [[0.74963737 0.2503626 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.26319449285128]
Predicted rank: [0], ambiguousness: [[0.80534637 0.19465363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.56196641327791]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.36311674071271]
Predicted rank: [0], ambiguousness: [[0.6985468  0.30145317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.66854637748926]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.72467004222261]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.75097256118951]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.25654951483827]
Predicted rank: [0], ambiguousness: [[0.5754676  0.42453244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.2544345230071]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.16368005052198]
Predicted rank: [0], ambiguousness: [[0.5621421  0.43785793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.95217247026787]
Predicted rank: [0], ambiguousness: [[0.71661127 0.28338876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.11516027926669]
Predicted rank: [0], ambiguousness: [[0.7109602 0.2890398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.19974664134817]
Predicted rank: [0], ambiguousness: [[0.6556916  0.34430838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.26747331407263]
Predicted rank: [0], ambiguousness: [[0.67951894 0.3204811 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.76471521728536]
Predicted rank: [0], ambiguousness: [[0.5522089  0.44779107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.44735756541462]
Predicted rank: [0], ambiguousness: [[0.6044779  0.39552212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.1823709043237]
Predicted rank: [0], ambiguousness: [[0.7394233  0.26057675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.339022843734]
Predicted rank: [0], ambiguousness: [[0.7454233  0.25457668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.42137894032504]
Predicted rank: [0], ambiguousness: [[0.6633253  0.33667466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.48794419914569]
Predicted rank: [0], ambiguousness: [[0.73507476 0.2649252 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.99004573647896]
Predicted rank: [0], ambiguousness: [[0.62008756 0.37991244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.32002011175238]
Predicted rank: [0], ambiguousness: [[0.5589068 0.4410932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.83713894278168]
Predicted rank: [0], ambiguousness: [[0.6640131 0.3359869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.24235598840386]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.36610398146293]
Predicted rank: [0], ambiguousness: [[0.64156157 0.35843843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.45000184390928]
Predicted rank: [0], ambiguousness: [[0.6658684 0.3341316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.90097490437003]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.91447924476134]
Predicted rank: [0], ambiguousness: [[0.73546445 0.26453552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.07841407286284]
Predicted rank: [0], ambiguousness: [[0.7911107  0.20888929]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.15996672933215]
Predicted rank: [0], ambiguousness: [[0.83125293 0.16874705]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.6364434454927]
Predicted rank: [0], ambiguousness: [[0.7173527 0.2826473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.20535426656966]
Predicted rank: [0], ambiguousness: [[0.686115   0.31388494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.31427421522702]
Predicted rank: [0], ambiguousness: [[0.747686   0.25231394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.79320364202114]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.38306375032566]
Predicted rank: [0], ambiguousness: [[0.64881915 0.35118085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.86641197328075]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.90577966676679]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.92437818550917]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.2334486769805]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.16945973541326]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.08161609228432]
Predicted rank: [0], ambiguousness: [[0.59122115 0.40877885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.88347225950164]
Predicted rank: [0], ambiguousness: [[0.7261221  0.27387792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.04728568667092]
Predicted rank: [0], ambiguousness: [[0.7348182  0.26518178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.13215765836735]
Predicted rank: [0], ambiguousness: [[0.68207157 0.3179284 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.2000221253798]
Predicted rank: [0], ambiguousness: [[0.7048949  0.29510507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.69672168877106]
Predicted rank: [0], ambiguousness: [[0.58145654 0.41854346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.04063288772596]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.88134472705872]
Predicted rank: [0], ambiguousness: [[0.73749715 0.26250285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.04514337613173]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.1300456109306]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.19791177791069]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.69466162243938]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.93370229619259]
Predicted rank: [0], ambiguousness: [[0.5801312  0.41986883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.44381401726716]
Predicted rank: [0], ambiguousness: [[0.67616916 0.32383084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.88134664638272]
Predicted rank: [0], ambiguousness: [[0.7240965  0.27590352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.01115317825214]
Predicted rank: [0], ambiguousness: [[0.6701745  0.32982555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.0977946249512]
Predicted rank: [0], ambiguousness: [[0.69346803 0.30653197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.53920669878013]
Predicted rank: [0], ambiguousness: [[0.56817794 0.43182206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.63719831757939]
Predicted rank: [0], ambiguousness: [[0.7593926  0.24060735]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.8066201575246]
Predicted rank: [0], ambiguousness: [[0.8058491  0.19415095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.88988129523952]
Predicted rank: [0], ambiguousness: [[0.8403211  0.15967888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.36044188874212]
Predicted rank: [0], ambiguousness: [[0.71962607 0.28037396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.93984041846046]
Predicted rank: [0], ambiguousness: [[0.71276367 0.2872363 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.05096541028729]
Predicted rank: [0], ambiguousness: [[0.77085316 0.22914685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.52427385144767]
Predicted rank: [0], ambiguousness: [[0.7257887 0.2742113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.12196436240339]
Predicted rank: [0], ambiguousness: [[0.6771443  0.32285574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.59989432309953]
Predicted rank: [0], ambiguousness: [[0.64839137 0.35160866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.64023922084358]
Predicted rank: [0], ambiguousness: [[0.66780657 0.33219343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.65926805451122]
Predicted rank: [0], ambiguousness: [[0.7985472  0.20145278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.22573943782133]
Predicted rank: [0], ambiguousness: [[0.58884525 0.41115475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.75803318776696]
Predicted rank: [0], ambiguousness: [[0.7008777  0.29912227]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.17318546368861]
Predicted rank: [0], ambiguousness: [[0.7575275  0.24247251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.29826288716956]
Predicted rank: [0], ambiguousness: [[0.67764497 0.32235506]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.38270254938135]
Predicted rank: [0], ambiguousness: [[0.7475043 0.2524957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.83204442084397]
Predicted rank: [0], ambiguousness: [[0.6352349 0.3647651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.87495121275663]
Predicted rank: [0], ambiguousness: [[0.7897885  0.21021153]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.03929726661865]
Predicted rank: [0], ambiguousness: [[0.8083374 0.1916626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.12095476566273]
Predicted rank: [0], ambiguousness: [[0.8665211 0.1334789]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.59712082166502]
Predicted rank: [0], ambiguousness: [[0.7620385  0.23796149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.16663143108363]
Predicted rank: [0], ambiguousness: [[0.71967304 0.28032693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.27569164647794]
Predicted rank: [0], ambiguousness: [[0.81488925 0.18511075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.75432872619494]
Predicted rank: [0], ambiguousness: [[0.7779362  0.22206375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.34463854062135]
Predicted rank: [0], ambiguousness: [[0.7360196  0.26398036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.82770947365952]
Predicted rank: [0], ambiguousness: [[0.6796129  0.32038715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.86713938529064]
Predicted rank: [0], ambiguousness: [[0.74521744 0.25478253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.88576321486852]
Predicted rank: [0], ambiguousness: [[0.8417379  0.15826206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.29602075140907]
Predicted rank: [0], ambiguousness: [[0.58169687 0.41830316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.50023188663428]
Predicted rank: [0], ambiguousness: [[0.6631253  0.33687472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.03475642035711]
Predicted rank: [0], ambiguousness: [[0.72146493 0.27853507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.16718564485251]
Predicted rank: [0], ambiguousness: [[0.67934287 0.3206571 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.25423194008843]
Predicted rank: [0], ambiguousness: [[0.6721041 0.3278959]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.69729704630342]
Predicted rank: [0], ambiguousness: [[0.56167483 0.4383252 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.3808305265965]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.65006931663554]
Predicted rank: [0], ambiguousness: [[0.7643677  0.23563233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.76211083389896]
Predicted rank: [0], ambiguousness: [[0.8044174  0.19558266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.1644159574997]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.02358644102227]
Predicted rank: [0], ambiguousness: [[0.69990385 0.30009615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.16783957867634]
Predicted rank: [0], ambiguousness: [[0.7597173  0.24028271]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.58771936859094]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.27589693966004]
Predicted rank: [0], ambiguousness: [[0.66344273 0.3365573 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.70418828435828]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.75900144020247]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.78360344782895]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.69706175754237]
Predicted rank: [0], ambiguousness: [[0.66076 0.33924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.84173697151022]
Predicted rank: [0], ambiguousness: [[0.77592903 0.22407098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.28302082815118]
Predicted rank: [0], ambiguousness: [[0.7576039  0.24239613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.99160417937028]
Predicted rank: [0], ambiguousness: [[0.81010234 0.18989767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.44677472080585]
Predicted rank: [0], ambiguousness: [[0.79740864 0.20259137]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.5010872948485]
Predicted rank: [0], ambiguousness: [[0.8301135  0.16988651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.52473716204304]
Predicted rank: [0], ambiguousness: [[0.88014185 0.11985816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.11284237491228]
Predicted rank: [0], ambiguousness: [[0.66581535 0.33418462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.56463860426514]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.653355669361]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.6805603334559]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.69750978130182]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.74917978103824]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.7641954345014]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.50387437599863]
Predicted rank: [0], ambiguousness: [[0.6907647  0.30923527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.52236275725164]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.8447393280552]
Predicted rank: [0], ambiguousness: [[0.6790398  0.32096022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.10652301435911]
Predicted rank: [0], ambiguousness: [[0.79837 0.20163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.35159119142128]
Predicted rank: [0], ambiguousness: [[0.79440856 0.20559144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.47439120398266]
Predicted rank: [0], ambiguousness: [[0.71538293 0.28461707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.56926923290678]
Predicted rank: [0], ambiguousness: [[0.777484   0.22251602]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.89146689644309]
Predicted rank: [0], ambiguousness: [[0.5522089  0.44779107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.3985943842747]
Predicted rank: [0], ambiguousness: [[0.7157874 0.2842126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.55152789517122]
Predicted rank: [0], ambiguousness: [[0.8162879  0.18371214]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.78431939774667]
Predicted rank: [0], ambiguousness: [[0.8214211 0.1785789]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.90278470338198]
Predicted rank: [0], ambiguousness: [[0.7222538  0.27774617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.99540090551662]
Predicted rank: [0], ambiguousness: [[0.82054245 0.17945752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.3271977894248]
Predicted rank: [0], ambiguousness: [[0.62008756 0.37991244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.20606817852172]
Predicted rank: [0], ambiguousness: [[0.6880765 0.3119235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.50767786098135]
Predicted rank: [0], ambiguousness: [[0.7644784  0.23552163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.12309641206775]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.30460344731429]
Predicted rank: [0], ambiguousness: [[0.7124691  0.28753093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.42369836579505]
Predicted rank: [0], ambiguousness: [[0.77500594 0.22499403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.67610693547584]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.18214307087501]
Predicted rank: [0], ambiguousness: [[0.8208209  0.17917907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.41930303821607]
Predicted rank: [0], ambiguousness: [[0.84312344 0.15687656]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.53350043324988]
Predicted rank: [0], ambiguousness: [[0.8899955  0.11000448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.8277820163079]
Predicted rank: [0], ambiguousness: [[0.7173527 0.2826473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.6108733632042]
Predicted rank: [0], ambiguousness: [[0.77942705 0.22057295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.763131743195]
Predicted rank: [0], ambiguousness: [[0.83001053 0.16998947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.06190366362162]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.86305399105642]
Predicted rank: [0], ambiguousness: [[0.7322442 0.2677558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.16848362783296]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.2246072925663]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.25090981153322]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.44937423858467]
Predicted rank: [0], ambiguousness: [[0.65635777 0.34364226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.3435122501345]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.67112791579615]
Predicted rank: [0], ambiguousness: [[0.65431166 0.34568837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.96168092841435]
Predicted rank: [0], ambiguousness: [[0.77794445 0.22205558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.20852276091783]
Predicted rank: [0], ambiguousness: [[0.77563196 0.22436805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.33193833306512]
Predicted rank: [0], ambiguousness: [[0.6921855 0.3078145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.42711431166867]
Predicted rank: [0], ambiguousness: [[0.75763327 0.24236675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.7481210752234]
Predicted rank: [0], ambiguousness: [[0.58145654 0.41854346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.62321882352663]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.9805871072598]
Predicted rank: [0], ambiguousness: [[0.78779614 0.21220389]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.22712811015873]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.35050445741632]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.44563796658143]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.76692007938274]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.47079625417712]
Predicted rank: [0], ambiguousness: [[0.6563916  0.34360835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.75808401747526]
Predicted rank: [0], ambiguousness: [[0.73398066 0.26601934]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.43584818178255]
Predicted rank: [0], ambiguousness: [[0.76603496 0.23396507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.62904229611519]
Predicted rank: [0], ambiguousness: [[0.6804895  0.31951052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.75344869112362]
Predicted rank: [0], ambiguousness: [[0.747517   0.25248304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.9870553555313]
Predicted rank: [0], ambiguousness: [[0.56817794 0.43182206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.65620140916116]
Predicted rank: [0], ambiguousness: [[0.79746664 0.20253336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.9039453598789]
Predicted rank: [0], ambiguousness: [[0.8257514  0.17424855]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.02144518984878]
Predicted rank: [0], ambiguousness: [[0.8742764  0.12572359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.30410800069848]
Predicted rank: [0], ambiguousness: [[0.71962607 0.28037396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.10758292006221]
Predicted rank: [0], ambiguousness: [[0.75230557 0.24769443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.26410519816467]
Predicted rank: [0], ambiguousness: [[0.8075732  0.19242683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.55183726567638]
Predicted rank: [0], ambiguousness: [[0.7257887 0.2742113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.36828379358931]
Predicted rank: [0], ambiguousness: [[0.7015427  0.29845732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.6630664019689]
Predicted rank: [0], ambiguousness: [[0.64839137 0.35160866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.72107310527298]
Predicted rank: [0], ambiguousness: [[0.66780657 0.33219343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.74820144146929]
Predicted rank: [0], ambiguousness: [[0.7985472  0.20145278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.04604910893784]
Predicted rank: [0], ambiguousness: [[0.6644385  0.33556154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.37335678584208]
Predicted rank: [0], ambiguousness: [[0.75587076 0.24412924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.00591088304434]
Predicted rank: [0], ambiguousness: [[0.79581726 0.20418274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.18970610106169]
Predicted rank: [0], ambiguousness: [[0.6878352 0.3121648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.30973690538184]
Predicted rank: [0], ambiguousness: [[0.79484415 0.20515588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.55928222525989]
Predicted rank: [0], ambiguousness: [[0.6352349 0.3647651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.11591016244054]
Predicted rank: [0], ambiguousness: [[0.8241663 0.1758337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.35377226897546]
Predicted rank: [0], ambiguousness: [[0.82803917 0.17196082]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.46814914908441]
Predicted rank: [0], ambiguousness: [[0.8955972  0.10440275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.76189011733354]
Predicted rank: [0], ambiguousness: [[0.7620385  0.23796149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.54601110563482]
Predicted rank: [0], ambiguousness: [[0.75858593 0.2414141 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.69850975984028]
Predicted rank: [0], ambiguousness: [[0.84596276 0.15403727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.9967728171969]
Predicted rank: [0], ambiguousness: [[0.7779362  0.22206375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.79870043942054]
Predicted rank: [0], ambiguousness: [[0.7575618  0.24243823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.10364714783321]
Predicted rank: [0], ambiguousness: [[0.6796129  0.32038715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.15987712966765]
Predicted rank: [0], ambiguousness: [[0.74521744 0.25478253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.18622274454854]
Predicted rank: [0], ambiguousness: [[0.8417379  0.15826206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.16782081908713]
Predicted rank: [0], ambiguousness: [[0.65622365 0.34377632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.9746996969778]
Predicted rank: [0], ambiguousness: [[0.74775946 0.2522405 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.79598651811554]
Predicted rank: [0], ambiguousness: [[0.7734395  0.22656047]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.99131033825445]
Predicted rank: [0], ambiguousness: [[0.689504   0.31049597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.11543847354218]
Predicted rank: [0], ambiguousness: [[0.7391702 0.2608298]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.35499973874917]
Predicted rank: [0], ambiguousness: [[0.56167483 0.4383252 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.84351315607003]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.24252562725479]
Predicted rank: [0], ambiguousness: [[0.7952822  0.20471781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.40348094587131]
Predicted rank: [0], ambiguousness: [[0.85075873 0.14924127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.58217697829181]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.81396970861081]
Predicted rank: [0], ambiguousness: [[0.74963737 0.2503626 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.02024002550091]
Predicted rank: [0], ambiguousness: [[0.80534637 0.19465363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.22722085316352]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.17998523440377]
Predicted rank: [0], ambiguousness: [[0.6985468  0.30145317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.39977472644065]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.4794662331331]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.51490906677412]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.87855271748069]
Predicted rank: [0], ambiguousness: [[0.71433294 0.2856671 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.08276972887663]
Predicted rank: [0], ambiguousness: [[0.8192121  0.18078792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.32612667846276]
Predicted rank: [0], ambiguousness: [[0.7576039  0.24239613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.30074793184187]
Predicted rank: [0], ambiguousness: [[0.83507776 0.16492224]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.56475145011456]
Predicted rank: [0], ambiguousness: [[0.79740864 0.20259137]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.64241966329631]
Predicted rank: [0], ambiguousness: [[0.8301135  0.16988651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.67599939469193]
Predicted rank: [0], ambiguousness: [[0.88014185 0.11985816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.48470389347669]
Predicted rank: [0], ambiguousness: [[0.73225355 0.26774648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.74491254310267]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.87072980811979]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.90910203094465]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.93744602227272]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.0095636552926]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.0325113740009]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.7334349487603]
Predicted rank: [0], ambiguousness: [[0.57767916 0.42232084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.66944600719306]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.58160236406414]
Predicted rank: [0], ambiguousness: [[0.5754676  0.42453244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.38345853128143]
Predicted rank: [0], ambiguousness: [[0.72751445 0.27248555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.54727195845071]
Predicted rank: [0], ambiguousness: [[0.7219964  0.27800354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.63214393014715]
Predicted rank: [0], ambiguousness: [[0.6678523  0.33214772]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.70000839715962]
Predicted rank: [0], ambiguousness: [[0.69123435 0.30876568]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.19670796055087]
Predicted rank: [0], ambiguousness: [[0.56560314 0.43439686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.54061915950575]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.38133099883851]
Predicted rank: [0], ambiguousness: [[0.7388525 0.2611475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.54512964791152]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.6300318827104]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.69789804969048]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.1946478942192]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.4336885679724]
Predicted rank: [0], ambiguousness: [[0.56426525 0.43573478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.94380028904696]
Predicted rank: [0], ambiguousness: [[0.6777027  0.32229728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.38133291816254]
Predicted rank: [0], ambiguousness: [[0.7109602 0.2890398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.51113945003195]
Predicted rank: [0], ambiguousness: [[0.6556916  0.34430838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.59778089673102]
Predicted rank: [0], ambiguousness: [[0.67951894 0.3204811 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.03919297055995]
Predicted rank: [0], ambiguousness: [[0.5522089  0.44779107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.13718458935918]
Predicted rank: [0], ambiguousness: [[0.7473506  0.25264946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.3066064293044]
Predicted rank: [0], ambiguousness: [[0.80117244 0.19882758]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.38986756701932]
Predicted rank: [0], ambiguousness: [[0.8397727  0.16022728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.8604281605219]
Predicted rank: [0], ambiguousness: [[0.7210387  0.27896127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.43982669024027]
Predicted rank: [0], ambiguousness: [[0.699312   0.30068806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.55095168206711]
Predicted rank: [0], ambiguousness: [[0.7592028 0.2407972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.02426012322746]
Predicted rank: [0], ambiguousness: [[0.7127011  0.28729892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.62195063418318]
Predicted rank: [0], ambiguousness: [[0.66281354 0.3371865 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.09988059487934]
Predicted rank: [0], ambiguousness: [[0.6334751  0.36652488]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.14022549262339]
Predicted rank: [0], ambiguousness: [[0.6532736  0.34672645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.15925432629102]
Predicted rank: [0], ambiguousness: [[0.7872082  0.21279183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.72572570960114]
Predicted rank: [0], ambiguousness: [[0.57306623 0.42693377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.25801945954674]
Predicted rank: [0], ambiguousness: [[0.70234585 0.29765418]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.67317173546842]
Predicted rank: [0], ambiguousness: [[0.7454233  0.25457668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.79824915894935]
Predicted rank: [0], ambiguousness: [[0.6633253  0.33667466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.88268882116114]
Predicted rank: [0], ambiguousness: [[0.73507476 0.2649252 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.33203069262376]
Predicted rank: [0], ambiguousness: [[0.62008756 0.37991244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.37493748453642]
Predicted rank: [0], ambiguousness: [[0.77882457 0.22117545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.53928353839845]
Predicted rank: [0], ambiguousness: [[0.8037061  0.19629388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.62094103744252]
Predicted rank: [0], ambiguousness: [[0.86604834 0.13395166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.09710709344482]
Predicted rank: [0], ambiguousness: [[0.76330775 0.23669225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.66661770286343]
Predicted rank: [0], ambiguousness: [[0.7064116  0.29358843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.77567791825776]
Predicted rank: [0], ambiguousness: [[0.80491114 0.19508885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.25431499797475]
Predicted rank: [0], ambiguousness: [[0.7665369  0.23346311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.84462481240115]
Predicted rank: [0], ambiguousness: [[0.72323406 0.2767659 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.32769574543931]
Predicted rank: [0], ambiguousness: [[0.66533744 0.33466253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.36712565707045]
Predicted rank: [0], ambiguousness: [[0.73271567 0.26728433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.38574948664831]
Predicted rank: [0], ambiguousness: [[0.8323195  0.16768053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.79600702318888]
Predicted rank: [0], ambiguousness: [[0.5658458 0.4341542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.00021815841407]
Predicted rank: [0], ambiguousness: [[0.66469    0.33530998]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.53474269213692]
Predicted rank: [0], ambiguousness: [[0.70825386 0.29174617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.6671719166323]
Predicted rank: [0], ambiguousness: [[0.6650615  0.33493853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.75421821186822]
Predicted rank: [0], ambiguousness: [[0.65766275 0.34233728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.19728331808321]
Predicted rank: [0], ambiguousness: [[0.54565763 0.45434234]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.8808167983763]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.15005558841533]
Predicted rank: [0], ambiguousness: [[0.7589907 0.2410093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.26209710567875]
Predicted rank: [0], ambiguousness: [[0.8037745  0.19622552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.66440222927952]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.52357271280208]
Predicted rank: [0], ambiguousness: [[0.686115   0.31388494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.66782585045614]
Predicted rank: [0], ambiguousness: [[0.747686   0.25231394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.08770564037076]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.77588321143986]
Predicted rank: [0], ambiguousness: [[0.64881915 0.35118085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.20417455613807]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.25898771198226]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.28358971960876]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.19704802932218]
Predicted rank: [0], ambiguousness: [[0.64608204 0.35391796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.34172324329003]
Predicted rank: [0], ambiguousness: [[0.7644578  0.23554216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.78300709993098]
Predicted rank: [0], ambiguousness: [[0.7455022  0.25449783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.49159045115007]
Predicted rank: [0], ambiguousness: [[0.8055035  0.19449654]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.94676099258565]
Predicted rank: [0], ambiguousness: [[0.792581 0.207419]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.00107356662829]
Predicted rank: [0], ambiguousness: [[0.82953715 0.17046286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.02472343382283]
Predicted rank: [0], ambiguousness: [[0.8804341  0.11956592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.61282864669208]
Predicted rank: [0], ambiguousness: [[0.65124077 0.34875923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.06462487604495]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.15334194114081]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.1805466052357]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.19749605308164]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.24916605281804]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.26418170628122]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.72431128542766]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.64295284913186]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.55791120388065]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.36031612042811]
Predicted rank: [0], ambiguousness: [[0.7366002  0.26339978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.52415529306995]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.60903643874977]
Predicted rank: [0], ambiguousness: [[0.6840328  0.31596723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.67690513926681]
Predicted rank: [0], ambiguousness: [[0.70677584 0.29322416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.1735887928902]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.4295557574771]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.29479448911422]
Predicted rank: [0], ambiguousness: [[0.73749715 0.26250285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.45955783549104]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.54480054643058]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.61282873132387]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.10895124463468]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.34460936109811]
Predicted rank: [0], ambiguousness: [[0.58261466 0.41738534]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.85519476304638]
Predicted rank: [0], ambiguousness: [[0.6879508 0.3120492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.29782168336017]
Predicted rank: [0], ambiguousness: [[0.7348182  0.26518178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.42849816013174]
Predicted rank: [0], ambiguousness: [[0.68207157 0.3179284 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.51551657928846]
Predicted rank: [0], ambiguousness: [[0.7048949  0.29510507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.95568334821618]
Predicted rank: [0], ambiguousness: [[0.58145654 0.41854346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.06751219035695]
Predicted rank: [0], ambiguousness: [[0.76918 0.23082]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.23760952266841]
Predicted rank: [0], ambiguousness: [[0.81420904 0.18579096]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.32106522103409]
Predicted rank: [0], ambiguousness: [[0.8474777  0.15252231]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.79098861968438]
Predicted rank: [0], ambiguousness: [[0.7304568  0.26954314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.37160188233143]
Predicted rank: [0], ambiguousness: [[0.72375786 0.27624214]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.48297707211961]
Predicted rank: [0], ambiguousness: [[0.78030926 0.21969074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.95568551967197]
Predicted rank: [0], ambiguousness: [[0.7364687  0.26353136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.55424171404479]
Predicted rank: [0], ambiguousness: [[0.6889067  0.31109327]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.03159642843372]
Predicted rank: [0], ambiguousness: [[0.66067636 0.3393236 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.07205258581902]
Predicted rank: [0], ambiguousness: [[0.6797483  0.32025167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.0911293168401]
Predicted rank: [0], ambiguousness: [[0.80714643 0.1928536 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.26075651920507]
Predicted rank: [0], ambiguousness: [[0.5551325 0.4448675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.79832727869865]
Predicted rank: [0], ambiguousness: [[0.7002568 0.2997432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.25428814831716]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.38657216447899]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.47422407770462]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.91259200537692]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.06528389405845]
Predicted rank: [0], ambiguousness: [[0.7823927  0.21760733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.23548278770032]
Predicted rank: [0], ambiguousness: [[0.8271642  0.17283584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.31894206389819]
Predicted rank: [0], ambiguousness: [[0.86617833 0.13382165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.7889153140664]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.369448319398]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.48083831229724]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.95359406501731]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.55213464221993]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.02954036373234]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.07000281094656]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.08907947058876]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.40199482051165]
Predicted rank: [0], ambiguousness: [[0.59670335 0.40329665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.54490547537509]
Predicted rank: [0], ambiguousness: [[0.657213   0.34278706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.13572415215523]
Predicted rank: [0], ambiguousness: [[0.7258173  0.27418265]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.27578085452403]
Predicted rank: [0], ambiguousness: [[0.6840653  0.31593472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.36614300594567]
Predicted rank: [0], ambiguousness: [[0.6768824 0.3231176]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.79822532935637]
Predicted rank: [0], ambiguousness: [[0.5562542 0.4437458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.46493076174994]
Predicted rank: [0], ambiguousness: [[0.7240965  0.27590352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.75003866202577]
Predicted rank: [0], ambiguousness: [[0.77535176 0.22464824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.86659995622298]
Predicted rank: [0], ambiguousness: [[0.8139888 0.1860112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.25628666531472]
Predicted rank: [0], ambiguousness: [[0.6809472  0.31905285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.15539975109056]
Predicted rank: [0], ambiguousness: [[0.71276367 0.2872363 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.3049271607567]
Predicted rank: [0], ambiguousness: [[0.77085316 0.22914685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.71407419990888]
Predicted rank: [0], ambiguousness: [[0.7257887 0.2742113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.41865956137099]
Predicted rank: [0], ambiguousness: [[0.6771443  0.32285574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.8367730238763]
Predicted rank: [0], ambiguousness: [[0.64839137 0.35160866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.89390266262919]
Predicted rank: [0], ambiguousness: [[0.66780657 0.33219343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.91945498231462]
Predicted rank: [0], ambiguousness: [[0.7985472  0.20145278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.9150465377009]
Predicted rank: [0], ambiguousness: [[0.67451715 0.32548285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.0632141480045]
Predicted rank: [0], ambiguousness: [[0.78652465 0.21347533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.49765338286082]
Predicted rank: [0], ambiguousness: [[0.7609399  0.23906012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.21838009337134]
Predicted rank: [0], ambiguousness: [[0.819458   0.18054198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.66726394101651]
Predicted rank: [0], ambiguousness: [[0.8003412  0.19965881]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.72302619307013]
Predicted rank: [0], ambiguousness: [[0.832672   0.16732803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.74726250832225]
Predicted rank: [0], ambiguousness: [[0.8865302  0.11346977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.34586060247807]
Predicted rank: [0], ambiguousness: [[0.679467   0.32053298]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.79155601005098]
Predicted rank: [0], ambiguousness: [[0.7044511  0.29554895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.88238757378824]
Predicted rank: [0], ambiguousness: [[0.7701571  0.22984289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.91020782329761]
Predicted rank: [0], ambiguousness: [[0.8836689 0.1163311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.9285488859577]
Predicted rank: [0], ambiguousness: [[0.65558493 0.34441507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.98120810648453]
Predicted rank: [0], ambiguousness: [[0.84745693 0.15254304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.99689550172496]
Predicted rank: [0], ambiguousness: [[0.6779524  0.32204756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.69048669824986]
Predicted rank: [0], ambiguousness: [[0.5862533 0.4137467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.87300296873389]
Predicted rank: [0], ambiguousness: [[0.65605307 0.3439469 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.436578284735]
Predicted rank: [0], ambiguousness: [[0.7328999 0.2671001]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.57147265507427]
Predicted rank: [0], ambiguousness: [[0.6610769 0.3389231]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.65948031435617]
Predicted rank: [0], ambiguousness: [[0.68467987 0.31532013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.0998928409774]
Predicted rank: [0], ambiguousness: [[0.5909459 0.4090541]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.79602953766624]
Predicted rank: [0], ambiguousness: [[0.7575275  0.24247251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.0694429143685]
Predicted rank: [0], ambiguousness: [[0.7781234 0.2218766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.18252903850669]
Predicted rank: [0], ambiguousness: [[0.8437058  0.15629421]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.58233719278124]
Predicted rank: [0], ambiguousness: [[0.72699094 0.2730091 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.45295174053243]
Predicted rank: [0], ambiguousness: [[0.71967304 0.28032693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.59830158611096]
Predicted rank: [0], ambiguousness: [[0.81488925 0.18511075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.01630704609691]
Predicted rank: [0], ambiguousness: [[0.7779362  0.22206375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.70761920392738]
Predicted rank: [0], ambiguousness: [[0.7360196  0.26398036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.13416334051226]
Predicted rank: [0], ambiguousness: [[0.6796129  0.32038715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.18945473117475]
Predicted rank: [0], ambiguousness: [[0.74521744 0.25478253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.2142433010655]
Predicted rank: [0], ambiguousness: [[0.8417379  0.15826206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.15720702184223]
Predicted rank: [0], ambiguousness: [[0.68193597 0.31806403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.30212231976762]
Predicted rank: [0], ambiguousness: [[0.82822025 0.17177977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.74303084186825]
Predicted rank: [0], ambiguousness: [[0.8081695  0.19183053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.45239260081524]
Predicted rank: [0], ambiguousness: [[0.8504766  0.14952336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.90723077067591]
Predicted rank: [0], ambiguousness: [[0.81912535 0.18087466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.96163678332778]
Predicted rank: [0], ambiguousness: [[0.8722086  0.12779139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.98532202825444]
Predicted rank: [0], ambiguousness: [[0.9081053  0.09189469]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.57402140989592]
Predicted rank: [0], ambiguousness: [[0.72461045 0.27538958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.02549626104482]
Predicted rank: [0], ambiguousness: [[0.7327465  0.26725355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.11435402727625]
Predicted rank: [0], ambiguousness: [[0.8297962 0.1702038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.14159599851374]
Predicted rank: [0], ambiguousness: [[0.9106518 0.0893482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.15865960312632]
Predicted rank: [0], ambiguousness: [[0.73776907 0.26223093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.21038726280804]
Predicted rank: [0], ambiguousness: [[0.8662809  0.13371907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.22544938262656]
Predicted rank: [0], ambiguousness: [[0.72542137 0.27457863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.95835229146081]
Predicted rank: [0], ambiguousness: [[0.66627395 0.33372605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.51029554738736]
Predicted rank: [0], ambiguousness: [[0.72709525 0.27290472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.64300807093568]
Predicted rank: [0], ambiguousness: [[0.67349505 0.32650495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.73017129756026]
Predicted rank: [0], ambiguousness: [[0.6966603  0.30333975]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.17299082659548]
Predicted rank: [0], ambiguousness: [[0.58254635 0.41745368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.4798296840516]
Predicted rank: [0], ambiguousness: [[0.72146493 0.27853507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.80026318241318]
Predicted rank: [0], ambiguousness: [[0.7876079 0.2123921]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.92154725008314]
Predicted rank: [0], ambiguousness: [[0.7911115  0.20888846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.30578917840162]
Predicted rank: [0], ambiguousness: [[0.6650394  0.33496058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.30717232015166]
Predicted rank: [0], ambiguousness: [[0.72124076 0.27875927]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.4583197998561]
Predicted rank: [0], ambiguousness: [[0.7529613  0.24703869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.86879842251369]
Predicted rank: [0], ambiguousness: [[0.7204915  0.27950847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.57471833207921]
Predicted rank: [0], ambiguousness: [[0.615093 0.384907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.99445875442282]
Predicted rank: [0], ambiguousness: [[0.6548506 0.3451494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.05220837670254]
Predicted rank: [0], ambiguousness: [[0.6425134  0.35748658]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.07784108936454]
Predicted rank: [0], ambiguousness: [[0.80259264 0.1974074 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.58037822220828]
Predicted rank: [0], ambiguousness: [[0.618268 0.381732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.78884420200852]
Predicted rank: [0], ambiguousness: [[0.7281662 0.2718338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.1388807998961]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.0408547302393]
Predicted rank: [0], ambiguousness: [[0.78009087 0.21990913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.41618933324308]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.49888456675646]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.53295889164158]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.41126566565046]
Predicted rank: [0], ambiguousness: [[0.66581535 0.33418462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.79739061540052]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.92298600677515]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.95912786672358]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.00550037717923]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.0710062146527]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.09820405455719]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.08666908273821]
Predicted rank: [0], ambiguousness: [[0.6246098  0.37539014]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.49445523290889]
Predicted rank: [0], ambiguousness: [[0.6615423 0.3384577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.62210638857772]
Predicted rank: [0], ambiguousness: [[0.7827755 0.2172245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.65865541377065]
Predicted rank: [0], ambiguousness: [[0.8956797  0.10432032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.75548401151711]
Predicted rank: [0], ambiguousness: [[0.8114708  0.18852918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.81980418389426]
Predicted rank: [0], ambiguousness: [[0.9150478  0.08495216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.84785327771708]
Predicted rank: [0], ambiguousness: [[0.8302204 0.1697796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.86061052538939]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.93366118350507]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.9967522725193]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.02943163681718]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Running local search 5
Switching 5 patient(s). Size of neighborhood: 15504
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.94931148892837]
Predicted rank: [0], ambiguousness: [[0.69269645 0.30730358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.84344950047821]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.17106516613984]
Predicted rank: [0], ambiguousness: [[0.6907647  0.30923527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.46161817875807]
Predicted rank: [0], ambiguousness: [[0.8069749 0.1930251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.70846001126154]
Predicted rank: [0], ambiguousness: [[0.8031408  0.19685918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.83187558340882]
Predicted rank: [0], ambiguousness: [[0.7263153  0.27368468]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.92705156201237]
Predicted rank: [0], ambiguousness: [[0.78674215 0.21325786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.24805832556711]
Predicted rank: [0], ambiguousness: [[0.56560314 0.43439686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.12315607387035]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.48052435760349]
Predicted rank: [0], ambiguousness: [[0.8158435  0.18415648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.72706536050245]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.85044170776001]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.94557521692514]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.26685732972646]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.97073350452082]
Predicted rank: [0], ambiguousness: [[0.69272846 0.30727154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.25802126781896]
Predicted rank: [0], ambiguousness: [[0.7670375  0.23296247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.93578543212624]
Predicted rank: [0], ambiguousness: [[0.79440856 0.20559144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.1289795464589]
Predicted rank: [0], ambiguousness: [[0.71538293 0.28461707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.25338594146734]
Predicted rank: [0], ambiguousness: [[0.777484   0.22251602]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.486992605875]
Predicted rank: [0], ambiguousness: [[0.5522089  0.44779107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.15613865950488]
Predicted rank: [0], ambiguousness: [[0.82290965 0.17709036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.40388261022261]
Predicted rank: [0], ambiguousness: [[0.8450013  0.15499873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.5213824401925]
Predicted rank: [0], ambiguousness: [[0.89138454 0.10861544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.80404525104218]
Predicted rank: [0], ambiguousness: [[0.7210387  0.27896127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.6075201704059]
Predicted rank: [0], ambiguousness: [[0.7818701 0.2181299]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.76404244850838]
Predicted rank: [0], ambiguousness: [[0.832014   0.16798596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.05177451602009]
Predicted rank: [0], ambiguousness: [[0.7127011  0.28729892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.868221043933]
Predicted rank: [0], ambiguousness: [[0.7350322  0.26496783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.16300365231261]
Predicted rank: [0], ambiguousness: [[0.6334751  0.36652488]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.2210103556167]
Predicted rank: [0], ambiguousness: [[0.6532736  0.34672645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.24813869181301]
Predicted rank: [0], ambiguousness: [[0.7872082  0.21279183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.54598635928154]
Predicted rank: [0], ambiguousness: [[0.70031285 0.29968718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.8732940361858]
Predicted rank: [0], ambiguousness: [[0.7869969  0.21300311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.50584813338804]
Predicted rank: [0], ambiguousness: [[0.8214211 0.1785789]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.68964335140538]
Predicted rank: [0], ambiguousness: [[0.7222538  0.27774617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.80967415572553]
Predicted rank: [0], ambiguousness: [[0.82054245 0.17945752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.05921947560361]
Predicted rank: [0], ambiguousness: [[0.62008756 0.37991244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.61584741278426]
Predicted rank: [0], ambiguousness: [[0.84689915 0.15310085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.85370951931915]
Predicted rank: [0], ambiguousness: [[0.84708303 0.15291695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.96808639942812]
Predicted rank: [0], ambiguousness: [[0.9101024  0.08989757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.26182736767723]
Predicted rank: [0], ambiguousness: [[0.76330775 0.23669225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.04594835597854]
Predicted rank: [0], ambiguousness: [[0.78761244 0.21238755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.19844701018398]
Predicted rank: [0], ambiguousness: [[0.8663347  0.13366535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.49671006754062]
Predicted rank: [0], ambiguousness: [[0.7665369  0.23346311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.29863768976426]
Predicted rank: [0], ambiguousness: [[0.78667676 0.2133232 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.60358439817692]
Predicted rank: [0], ambiguousness: [[0.66533744 0.33466253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.65981438001137]
Predicted rank: [0], ambiguousness: [[0.73271567 0.26728433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.68615999489225]
Predicted rank: [0], ambiguousness: [[0.8323195  0.16768053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.66775806943082]
Predicted rank: [0], ambiguousness: [[0.69256985 0.30743012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.4746369473215]
Predicted rank: [0], ambiguousness: [[0.7796183  0.22038168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.29592376845923]
Predicted rank: [0], ambiguousness: [[0.8011483  0.19885173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.49124758859816]
Predicted rank: [0], ambiguousness: [[0.7238126 0.2761874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.61537572388589]
Predicted rank: [0], ambiguousness: [[0.76982284 0.23017716]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.85493698909288]
Predicted rank: [0], ambiguousness: [[0.54565763 0.45434234]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.34345040641374]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.7424628775985]
Predicted rank: [0], ambiguousness: [[0.81715274 0.18284729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.90341819621501]
Predicted rank: [0], ambiguousness: [[0.87059337 0.12940662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.08211422863553]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.31390695895452]
Predicted rank: [0], ambiguousness: [[0.77942705 0.22057295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.52017727584462]
Predicted rank: [0], ambiguousness: [[0.83001053 0.16998947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.72715810350724]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.6799224847475]
Predicted rank: [0], ambiguousness: [[0.7322442 0.2677558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.89971197678436]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.97940348347682]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.01484631711784]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.37848996782441]
Predicted rank: [0], ambiguousness: [[0.74690497 0.253095  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.58270697922033]
Predicted rank: [0], ambiguousness: [[0.842463   0.15753697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.82606392880646]
Predicted rank: [0], ambiguousness: [[0.7455022  0.25449783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.80068518218557]
Predicted rank: [0], ambiguousness: [[0.8534801  0.14651993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.06468870045825]
Predicted rank: [0], ambiguousness: [[0.792581 0.207419]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.14235691364001]
Predicted rank: [0], ambiguousness: [[0.82953715 0.17046286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.17593664503562]
Predicted rank: [0], ambiguousness: [[0.8804341  0.11956592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.9846411438204]
Predicted rank: [0], ambiguousness: [[0.76345885 0.23654114]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.24484979344638]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.37066705846351]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.40903928128836]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.43738327261642]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.5095009056363]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.53244862434462]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.92516621440569]
Predicted rank: [0], ambiguousness: [[0.65635777 0.34364226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.78100674831265]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.11515300417742]
Predicted rank: [0], ambiguousness: [[0.65635777 0.34364226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.40701851305846]
Predicted rank: [0], ambiguousness: [[0.78702146 0.21297854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.65392186876224]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.77735944442222]
Predicted rank: [0], ambiguousness: [[0.69411224 0.30588776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.87254561340914]
Predicted rank: [0], ambiguousness: [[0.7592928  0.24070722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.1935134750486]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.8879513951331]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.29830841110788]
Predicted rank: [0], ambiguousness: [[0.78779614 0.21220389]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.54692469906229]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.6710360941309]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.76652050903382]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.08642293425788]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.78212501359384]
Predicted rank: [0], ambiguousness: [[0.65868944 0.34131056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.0702992396106]
Predicted rank: [0], ambiguousness: [[0.74445385 0.25554615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.7590487907606]
Predicted rank: [0], ambiguousness: [[0.77563196 0.22436805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.9541192888021]
Predicted rank: [0], ambiguousness: [[0.6921855 0.3078145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.0793417763627]
Predicted rank: [0], ambiguousness: [[0.75763327 0.24236675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.31020938434534]
Predicted rank: [0], ambiguousness: [[0.58145654 0.41854346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.00919864875318]
Predicted rank: [0], ambiguousness: [[0.8061007  0.19389929]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.25839969783026]
Predicted rank: [0], ambiguousness: [[0.8334316  0.16656838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.37632007321167]
Predicted rank: [0], ambiguousness: [[0.88012826 0.11987173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.65758332610079]
Predicted rank: [0], ambiguousness: [[0.7304568  0.26954314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.46369500609345]
Predicted rank: [0], ambiguousness: [[0.762291 0.237709]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.62075837705015]
Predicted rank: [0], ambiguousness: [[0.8158759  0.18412408]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.90717244209425]
Predicted rank: [0], ambiguousness: [[0.7364687  0.26353136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.72550944383659]
Predicted rank: [0], ambiguousness: [[0.71279323 0.28720674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.0190277669517]
Predicted rank: [0], ambiguousness: [[0.66067636 0.3393236 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.07727432204827]
Predicted rank: [0], ambiguousness: [[0.6797483  0.32025167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.10450550148124]
Predicted rank: [0], ambiguousness: [[0.80714643 0.1928536 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.65876553663672]
Predicted rank: [0], ambiguousness: [[0.6330616 0.3669384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.99532470268053]
Predicted rank: [0], ambiguousness: [[0.75532407 0.24467592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.70692430632775]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.90466246146389]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.03092915618305]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.25883998374609]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.02824279196126]
Predicted rank: [0], ambiguousness: [[0.81770086 0.18229915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.27740539381512]
Predicted rank: [0], ambiguousness: [[0.84530103 0.15469897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.39526793222906]
Predicted rank: [0], ambiguousness: [[0.8953201  0.10467987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.67683772071837]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.48239554082701]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.63940318286618]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.92610649907013]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.74412420284841]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.03793045474401]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.0961519270264]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.12336733565175]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.91814887578569]
Predicted rank: [0], ambiguousness: [[0.65943503 0.34056497]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.60624186397251]
Predicted rank: [0], ambiguousness: [[0.74275637 0.25724366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.5361205124668]
Predicted rank: [0], ambiguousness: [[0.77723056 0.22276944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.746159822611]
Predicted rank: [0], ambiguousness: [[0.6941442 0.3058558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.8767087686982]
Predicted rank: [0], ambiguousness: [[0.74334437 0.25665563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.09466569865035]
Predicted rank: [0], ambiguousness: [[0.5562542 0.4437458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.550251184031]
Predicted rank: [0], ambiguousness: [[0.76603496 0.23396507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.97992409861135]
Predicted rank: [0], ambiguousness: [[0.7975952  0.20240478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.14962801657981]
Predicted rank: [0], ambiguousness: [[0.8525612  0.14743884]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.30349522616919]
Predicted rank: [0], ambiguousness: [[0.6809472  0.31905285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.61279885438924]
Predicted rank: [0], ambiguousness: [[0.75230557 0.24769443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.82928126335686]
Predicted rank: [0], ambiguousness: [[0.8075732  0.19242683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.01514673209613]
Predicted rank: [0], ambiguousness: [[0.7257887 0.2742113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.99997052314308]
Predicted rank: [0], ambiguousness: [[0.7015427  0.29845732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.19972479640535]
Predicted rank: [0], ambiguousness: [[0.64839137 0.35160866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.2838904438876]
Predicted rank: [0], ambiguousness: [[0.66780657 0.33219343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.32116293328633]
Predicted rank: [0], ambiguousness: [[0.7985472  0.20145278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.8434266329444]
Predicted rank: [0], ambiguousness: [[0.7172354 0.2827646]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.05439742205417]
Predicted rank: [0], ambiguousness: [[0.8213155 0.1786845]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.28430473081724]
Predicted rank: [0], ambiguousness: [[0.7609399  0.23906012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.28259502085061]
Predicted rank: [0], ambiguousness: [[0.8370333  0.16296673]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.53423893079037]
Predicted rank: [0], ambiguousness: [[0.8003412  0.19965881]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.61470286633845]
Predicted rank: [0], ambiguousness: [[0.832672   0.16732803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.64941012380231]
Predicted rank: [0], ambiguousness: [[0.8865302  0.11346977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.47854581257778]
Predicted rank: [0], ambiguousness: [[0.7350415  0.26495853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.72675848583819]
Predicted rank: [0], ambiguousness: [[0.7044511  0.29554895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.85666272432334]
Predicted rank: [0], ambiguousness: [[0.7701571  0.22984289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.89621910743942]
Predicted rank: [0], ambiguousness: [[0.8836689 0.1163311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.92723959347236]
Predicted rank: [0], ambiguousness: [[0.65558493 0.34441507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.00126908309412]
Predicted rank: [0], ambiguousness: [[0.84745693 0.15254304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.02550233189419]
Predicted rank: [0], ambiguousness: [[0.6779524  0.32204756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.48865374445387]
Predicted rank: [0], ambiguousness: [[0.66044223 0.3395578 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.25770935278881]
Predicted rank: [0], ambiguousness: [[0.7417722 0.2582278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.12919432234168]
Predicted rank: [0], ambiguousness: [[0.7833814  0.21661861]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.32877274786496]
Predicted rank: [0], ambiguousness: [[0.67153704 0.32846296]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.45456637596052]
Predicted rank: [0], ambiguousness: [[0.75013    0.24987002]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.68945822686693]
Predicted rank: [0], ambiguousness: [[0.5909459 0.4090541]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.19931909463406]
Predicted rank: [0], ambiguousness: [[0.79581726 0.20418274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.60553889834418]
Predicted rank: [0], ambiguousness: [[0.80016315 0.19983685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.76829961889396]
Predicted rank: [0], ambiguousness: [[0.87704664 0.12295333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.94260730057195]
Predicted rank: [0], ambiguousness: [[0.72699094 0.2730091 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.19421729514428]
Predicted rank: [0], ambiguousness: [[0.75858593 0.2414141 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.40238229836666]
Predicted rank: [0], ambiguousness: [[0.84596276 0.15403727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.60607148381715]
Predicted rank: [0], ambiguousness: [[0.7779362  0.22206375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.56429605109676]
Predicted rank: [0], ambiguousness: [[0.7575618  0.24243823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.78101516852661]
Predicted rank: [0], ambiguousness: [[0.6796129  0.32038715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.8615313573808]
Predicted rank: [0], ambiguousness: [[0.74521744 0.25478253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.89729510665072]
Predicted rank: [0], ambiguousness: [[0.8417379  0.15826206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.31172142479414]
Predicted rank: [0], ambiguousness: [[0.72407883 0.27592117]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.51634960528719]
Predicted rank: [0], ambiguousness: [[0.8574474  0.14255264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.75905301099016]
Predicted rank: [0], ambiguousness: [[0.8081695  0.19183053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.73501592684198]
Predicted rank: [0], ambiguousness: [[0.8655278  0.13447218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.99844036581365]
Predicted rank: [0], ambiguousness: [[0.81912535 0.18087466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.07626828561372]
Predicted rank: [0], ambiguousness: [[0.8722086  0.12779139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.10990833325593]
Predicted rank: [0], ambiguousness: [[0.9081053  0.09189469]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.91963465819626]
Predicted rank: [0], ambiguousness: [[0.7749502  0.22504978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.17928317950515]
Predicted rank: [0], ambiguousness: [[0.7327465  0.26725355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.30534149713131]
Predicted rank: [0], ambiguousness: [[0.8297962 0.1702038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.34377736945663]
Predicted rank: [0], ambiguousness: [[0.9106518 0.0893482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.37231591779371]
Predicted rank: [0], ambiguousness: [[0.73776907 0.26223093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.4445323362993]
Predicted rank: [0], ambiguousness: [[0.8662809  0.13371907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.46755907359241]
Predicted rank: [0], ambiguousness: [[0.72542137 0.27457863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.40698002956931]
Predicted rank: [0], ambiguousness: [[0.7345457 0.2654543]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.25694197755882]
Predicted rank: [0], ambiguousness: [[0.7771016  0.22289844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.45272958679085]
Predicted rank: [0], ambiguousness: [[0.69398606 0.30601394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.57705020581636]
Predicted rank: [0], ambiguousness: [[0.7591841  0.24081585]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.81620022917068]
Predicted rank: [0], ambiguousness: [[0.58254635 0.41745368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.70822621013187]
Predicted rank: [0], ambiguousness: [[0.7734395  0.22656047]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.18890025242379]
Predicted rank: [0], ambiguousness: [[0.80893683 0.19106314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.36462720404424]
Predicted rank: [0], ambiguousness: [[0.8508247  0.14917527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.51394392624664]
Predicted rank: [0], ambiguousness: [[0.6650394  0.33496058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.97273526659656]
Predicted rank: [0], ambiguousness: [[0.7600085 0.2399915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.19002805210559]
Predicted rank: [0], ambiguousness: [[0.8006824 0.1993176]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.38172737217246]
Predicted rank: [0], ambiguousness: [[0.7204915  0.27950847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.36304499564866]
Predicted rank: [0], ambiguousness: [[0.6966708  0.30332923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.56892472152374]
Predicted rank: [0], ambiguousness: [[0.6548506 0.3451494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.65330673825937]
Predicted rank: [0], ambiguousness: [[0.6425134  0.35748658]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.69039214355772]
Predicted rank: [0], ambiguousness: [[0.80259264 0.1974074 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.91243538146665]
Predicted rank: [0], ambiguousness: [[0.6752534  0.32474664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.21463967266895]
Predicted rank: [0], ambiguousness: [[0.7780362  0.22196382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.31561157054178]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.58963372938993]
Predicted rank: [0], ambiguousness: [[0.8080783  0.19192173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.7290344489215]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.8501983958206]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.89972911379999]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.15754026622457]
Predicted rank: [0], ambiguousness: [[0.73225355 0.26774648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.31549230373061]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.49771840815131]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.54972061230299]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.62286531932236]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.71615887174929]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.7576242457602]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.22649217448318]
Predicted rank: [0], ambiguousness: [[0.69549346 0.30450657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.4217199319331]
Predicted rank: [0], ambiguousness: [[0.6615423 0.3384577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.6042334861279]
Predicted rank: [0], ambiguousness: [[0.7827755 0.2172245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.65613400628492]
Predicted rank: [0], ambiguousness: [[0.8956797  0.10432032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.8011764490289]
Predicted rank: [0], ambiguousness: [[0.8114708  0.18852918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.89158891212901]
Predicted rank: [0], ambiguousness: [[0.9150478  0.08495216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.93329290465687]
Predicted rank: [0], ambiguousness: [[0.8302204 0.1697796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.96416077360422]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.06644674339726]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.1573081031562]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.20846403018618]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.22429755720746]
Predicted rank: [0], ambiguousness: [[0.57767916 0.42232084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.14293912091168]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.05789747566044]
Predicted rank: [0], ambiguousness: [[0.57767916 0.42232084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.8603023922079]
Predicted rank: [0], ambiguousness: [[0.73795855 0.26204145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.02414156484977]
Predicted rank: [0], ambiguousness: [[0.7238111 0.2761889]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.10902271052956]
Predicted rank: [0], ambiguousness: [[0.6698587  0.33014128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.17689141104663]
Predicted rank: [0], ambiguousness: [[0.69316435 0.30683562]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.67357506467]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.92954202925691]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.79478076089403]
Predicted rank: [0], ambiguousness: [[0.7388525 0.2611475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.95954410727084]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.04478681821038]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.11281500310369]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.6089375164145]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.84459563287791]
Predicted rank: [0], ambiguousness: [[0.56677246 0.43322754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.35518103482619]
Predicted rank: [0], ambiguousness: [[0.68945414 0.31054586]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.79780795513997]
Predicted rank: [0], ambiguousness: [[0.7219964  0.27800354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.92848443191153]
Predicted rank: [0], ambiguousness: [[0.6678523  0.33214772]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.01550285106826]
Predicted rank: [0], ambiguousness: [[0.69123435 0.30876568]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.455669619996]
Predicted rank: [0], ambiguousness: [[0.56560314 0.43439686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.56749846213675]
Predicted rank: [0], ambiguousness: [[0.7574713  0.24252868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.73759579444823]
Predicted rank: [0], ambiguousness: [[0.80968624 0.19031377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.8210514928139]
Predicted rank: [0], ambiguousness: [[0.8469494  0.15305059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.29097489146417]
Predicted rank: [0], ambiguousness: [[0.73183537 0.26816466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.87158815411124]
Predicted rank: [0], ambiguousness: [[0.71061194 0.2893881 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.98296334389941]
Predicted rank: [0], ambiguousness: [[0.7689955  0.23100446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.45567179145178]
Predicted rank: [0], ambiguousness: [[0.7236967  0.27630332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.05422798582458]
Predicted rank: [0], ambiguousness: [[0.67484736 0.32515264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.53158270021353]
Predicted rank: [0], ambiguousness: [[0.6459968 0.3540032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.57203885759883]
Predicted rank: [0], ambiguousness: [[0.6654761  0.33452395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.5911155886199]
Predicted rank: [0], ambiguousness: [[0.7961678 0.2038322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.76074279098486]
Predicted rank: [0], ambiguousness: [[0.5390725  0.46092752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.29831355047844]
Predicted rank: [0], ambiguousness: [[0.7017266  0.29827338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.75427442009696]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.8865584362588]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.97421034948442]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.41257827715674]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.56527016583824]
Predicted rank: [0], ambiguousness: [[0.7711548 0.2288452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.73546905948012]
Predicted rank: [0], ambiguousness: [[0.82288814 0.17711188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.818928335678]
Predicted rank: [0], ambiguousness: [[0.86570454 0.13429545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.28890158584622]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.86943459117781]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.98082458407704]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.45358033679712]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.05212091399973]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.52952663551213]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.56998908272635]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.58906574236858]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.90198109229145]
Predicted rank: [0], ambiguousness: [[0.5810114  0.41898862]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.04489174715488]
Predicted rank: [0], ambiguousness: [[0.658791 0.341209]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.63571042393505]
Predicted rank: [0], ambiguousness: [[0.7127305  0.28726947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.77576712630383]
Predicted rank: [0], ambiguousness: [[0.66989195 0.33010802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.86612927772546]
Predicted rank: [0], ambiguousness: [[0.6625458 0.3374542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.29821160113616]
Predicted rank: [0], ambiguousness: [[0.54020107 0.4597989 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.96491703352976]
Predicted rank: [0], ambiguousness: [[0.7109602 0.2890398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.25002493380558]
Predicted rank: [0], ambiguousness: [[0.77015007 0.22984992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.36658622800277]
Predicted rank: [0], ambiguousness: [[0.8133701 0.1866299]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.75627293709452]
Predicted rank: [0], ambiguousness: [[0.6824688  0.31753126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.65538602287036]
Predicted rank: [0], ambiguousness: [[0.699312   0.30068806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.80491343253651]
Predicted rank: [0], ambiguousness: [[0.7592028 0.2407972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.2140604716887]
Predicted rank: [0], ambiguousness: [[0.7127011  0.28729892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.91864583315078]
Predicted rank: [0], ambiguousness: [[0.66281354 0.3371865 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.3367592956561]
Predicted rank: [0], ambiguousness: [[0.6334751  0.36652488]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.393888934409]
Predicted rank: [0], ambiguousness: [[0.6532736  0.34672645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.41944125409441]
Predicted rank: [0], ambiguousness: [[0.7872082  0.21279183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.41503280948069]
Predicted rank: [0], ambiguousness: [[0.66012836 0.33987167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.5632004197843]
Predicted rank: [0], ambiguousness: [[0.7754389 0.2245611]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.99763965464061]
Predicted rank: [0], ambiguousness: [[0.74894965 0.25105035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.71836636515114]
Predicted rank: [0], ambiguousness: [[0.815034   0.18496603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.16725021279632]
Predicted rank: [0], ambiguousness: [[0.79556555 0.20443445]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.22301246484993]
Predicted rank: [0], ambiguousness: [[0.8321026  0.16789742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.24724878010204]
Predicted rank: [0], ambiguousness: [[0.88680893 0.11319109]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.84584687425786]
Predicted rank: [0], ambiguousness: [[0.66518843 0.3348116 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.29154228183079]
Predicted rank: [0], ambiguousness: [[0.69077885 0.30922115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.38237384556804]
Predicted rank: [0], ambiguousness: [[0.75848246 0.24151756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.41019409507741]
Predicted rank: [0], ambiguousness: [[0.8763794  0.12362064]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.4285351577375]
Predicted rank: [0], ambiguousness: [[0.64080477 0.35919523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.48119437826433]
Predicted rank: [0], ambiguousness: [[0.83831346 0.16168655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.49688177350475]
Predicted rank: [0], ambiguousness: [[0.6636397  0.33636028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.19047297002966]
Predicted rank: [0], ambiguousness: [[0.5704473  0.42955264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.37298924051369]
Predicted rank: [0], ambiguousness: [[0.6576337  0.34236628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.93656455651481]
Predicted rank: [0], ambiguousness: [[0.72002065 0.27997932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.07145892685408]
Predicted rank: [0], ambiguousness: [[0.64640534 0.35359463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.15946658613598]
Predicted rank: [0], ambiguousness: [[0.6705208 0.3294792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.59987911275721]
Predicted rank: [0], ambiguousness: [[0.57518935 0.42481062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.29601580944603]
Predicted rank: [0], ambiguousness: [[0.7454233  0.25457668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.56942918614828]
Predicted rank: [0], ambiguousness: [[0.77296704 0.22703296]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.68251531028649]
Predicted rank: [0], ambiguousness: [[0.8431669  0.15683313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.08232346456103]
Predicted rank: [0], ambiguousness: [[0.72838044 0.27161953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.95293801231225]
Predicted rank: [0], ambiguousness: [[0.7064116  0.29358843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.09828785789077]
Predicted rank: [0], ambiguousness: [[0.80491114 0.19508885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.51629331787672]
Predicted rank: [0], ambiguousness: [[0.7665369  0.23346311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.20760547570717]
Predicted rank: [0], ambiguousness: [[0.72323406 0.2767659 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.63414961229205]
Predicted rank: [0], ambiguousness: [[0.66533744 0.33466253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.68944100295457]
Predicted rank: [0], ambiguousness: [[0.73271567 0.26728433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.71422957284528]
Predicted rank: [0], ambiguousness: [[0.8323195  0.16768053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.65719329362202]
Predicted rank: [0], ambiguousness: [[0.6677135  0.33228648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.80210859154741]
Predicted rank: [0], ambiguousness: [[0.8188009 0.1811991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.24301711364805]
Predicted rank: [0], ambiguousness: [[0.797919   0.20208104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.95237887259503]
Predicted rank: [0], ambiguousness: [[0.84667045 0.15332954]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.4072170424557]
Predicted rank: [0], ambiguousness: [[0.81469494 0.18530504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.46162305510757]
Predicted rank: [0], ambiguousness: [[0.87175304 0.12824698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.48530830003425]
Predicted rank: [0], ambiguousness: [[0.90833646 0.09166352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.07400768167572]
Predicted rank: [0], ambiguousness: [[0.71148884 0.28851113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.52548253282461]
Predicted rank: [0], ambiguousness: [[0.7198627 0.2801373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.61434029905605]
Predicted rank: [0], ambiguousness: [[0.8204446  0.17955542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.64158227029353]
Predicted rank: [0], ambiguousness: [[0.90487105 0.09512895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.65864587490614]
Predicted rank: [0], ambiguousness: [[0.72503656 0.27496344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.71037353458786]
Predicted rank: [0], ambiguousness: [[0.8580768 0.1419232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.72543565440637]
Predicted rank: [0], ambiguousness: [[0.7123231  0.28767687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.45833856324063]
Predicted rank: [0], ambiguousness: [[0.6678314 0.3321686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.01028181916716]
Predicted rank: [0], ambiguousness: [[0.7140454 0.2859546]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.14299434271547]
Predicted rank: [0], ambiguousness: [[0.65908384 0.34091613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.23015756934007]
Predicted rank: [0], ambiguousness: [[0.68279    0.31721002]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.67297709837528]
Predicted rank: [0], ambiguousness: [[0.56670344 0.43329653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.97981595583138]
Predicted rank: [0], ambiguousness: [[0.70825386 0.29174617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.30024945419297]
Predicted rank: [0], ambiguousness: [[0.7826104 0.2173896]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.42153352186293]
Predicted rank: [0], ambiguousness: [[0.7904363  0.20956369]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.80577545018141]
Predicted rank: [0], ambiguousness: [[0.66659975 0.33340025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.80715859193145]
Predicted rank: [0], ambiguousness: [[0.7080233 0.2919767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.95830607163592]
Predicted rank: [0], ambiguousness: [[0.7407073  0.25929272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.3687846942935]
Predicted rank: [0], ambiguousness: [[0.707253 0.292747]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.07470460385902]
Predicted rank: [0], ambiguousness: [[0.59963644 0.4003636 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.49444502620261]
Predicted rank: [0], ambiguousness: [[0.64005625 0.35994372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.55219464848234]
Predicted rank: [0], ambiguousness: [[0.6274911 0.3725089]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.57782736114436]
Predicted rank: [0], ambiguousness: [[0.7914218  0.20857821]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.0803644939881]
Predicted rank: [0], ambiguousness: [[0.6028566  0.39714342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.28883047378832]
Predicted rank: [0], ambiguousness: [[0.7151475 0.2848525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.6388670716759]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.54084100201909]
Predicted rank: [0], ambiguousness: [[0.774967   0.22503297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.91617560502289]
Predicted rank: [0], ambiguousness: [[0.7606187  0.23938134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.99887083853626]
Predicted rank: [0], ambiguousness: [[0.8018458 0.1981542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.03294516342137]
Predicted rank: [0], ambiguousness: [[0.85961163 0.1403884 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.91125193743025]
Predicted rank: [0], ambiguousness: [[0.65124077 0.34875923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.29737688718032]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.42297227855494]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.45911413850338]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.50548664895904]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.57099248643249]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.59819032633698]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.586655354518]
Predicted rank: [0], ambiguousness: [[0.6092927 0.3907073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.9944415046887]
Predicted rank: [0], ambiguousness: [[0.64688015 0.35311985]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.12209266035752]
Predicted rank: [0], ambiguousness: [[0.7715516  0.22844838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.15864168555044]
Predicted rank: [0], ambiguousness: [[0.8890483 0.1109517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.25547028329692]
Predicted rank: [0], ambiguousness: [[0.80689716 0.19310285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.31979045567405]
Predicted rank: [0], ambiguousness: [[0.9123783  0.08762169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.34783954949688]
Predicted rank: [0], ambiguousness: [[0.8296444  0.17035563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.36059679716921]
Predicted rank: [0], ambiguousness: [[0.6520335 0.3479665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.43364745528487]
Predicted rank: [0], ambiguousness: [[0.86298853 0.13701145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.49673854429909]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.52941790859697]
Predicted rank: [0], ambiguousness: [[0.6322421  0.36775792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.22117339457576]
Predicted rank: [0], ambiguousness: [[0.5822266  0.41777343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.13366760948223]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.0487738123278]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.85117872887525]
Predicted rank: [0], ambiguousness: [[0.7366002  0.26339978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.01501790151711]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.09989904719691]
Predicted rank: [0], ambiguousness: [[0.6840328  0.31596723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.16776774771397]
Predicted rank: [0], ambiguousness: [[0.70677584 0.29322416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.66445140133736]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.90036109328172]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.76820823228462]
Predicted rank: [0], ambiguousness: [[0.73749715 0.26250285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.93301995773808]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.01828085603695]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.08631725455226]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.58240994810265]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.82053620587826]
Predicted rank: [0], ambiguousness: [[0.58481586 0.4151841 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.33123554104397]
Predicted rank: [0], ambiguousness: [[0.6992845 0.3007155]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.77406307952408]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.90477223251752]
Predicted rank: [0], ambiguousness: [[0.6840328  0.31596723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.99180449029446]
Predicted rank: [0], ambiguousness: [[0.70677584 0.29322416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.43192712929974]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.54432479356322]
Predicted rank: [0], ambiguousness: [[0.77078444 0.22921558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.71444428708742]
Predicted rank: [0], ambiguousness: [[0.8221426  0.17785743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.79790600970144]
Predicted rank: [0], ambiguousness: [[0.85424495 0.14575507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.26781053828347]
Predicted rank: [0], ambiguousness: [[0.74082834 0.25917166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.84846065507364]
Predicted rank: [0], ambiguousness: [[0.7255653  0.27443466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.9598436707658]
Predicted rank: [0], ambiguousness: [[0.7818582  0.21814178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.43253440201345]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.03111690209695]
Predicted rank: [0], ambiguousness: [[0.69084483 0.30915517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.50845470638552]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.54891434828414]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.56799253872855]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.63069503647944]
Predicted rank: [0], ambiguousness: [[0.5551325 0.4448675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.17583387570627]
Predicted rank: [0], ambiguousness: [[0.7002568 0.2997432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.64093094180097]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.77460275352603]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.86284126073339]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.29933668033368]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.47757518342286]
Predicted rank: [0], ambiguousness: [[0.7823927  0.21760733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.64858461246087]
Predicted rank: [0], ambiguousness: [[0.8271642  0.17283584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.73227279573528]
Predicted rank: [0], ambiguousness: [[0.86617833 0.13382165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.20150744111154]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.78344976532986]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.89513605803289]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.3671963041415]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.96674974249595]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.44348964532013]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.48408381213386]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.50321665848729]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.81119340541862]
Predicted rank: [0], ambiguousness: [[0.60970736 0.39029267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.94409909001155]
Predicted rank: [0], ambiguousness: [[0.6595081  0.34049192]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.544709822695]
Predicted rank: [0], ambiguousness: [[0.72784334 0.27215666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.68594724646269]
Predicted rank: [0], ambiguousness: [[0.6862664  0.31373355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.7767995345048]
Predicted rank: [0], ambiguousness: [[0.67911017 0.32088986]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.20735529472009]
Predicted rank: [0], ambiguousness: [[0.5587715 0.4412285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.8729595434535]
Predicted rank: [0], ambiguousness: [[0.7348182  0.26518178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.1604667670536]
Predicted rank: [0], ambiguousness: [[0.78467405 0.21532595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.27767778266946]
Predicted rank: [0], ambiguousness: [[0.82207566 0.17792432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.66565011568181]
Predicted rank: [0], ambiguousness: [[0.692634   0.30736604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.57088263952019]
Predicted rank: [0], ambiguousness: [[0.72375786 0.27624214]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.72114762343836]
Predicted rank: [0], ambiguousness: [[0.78030926 0.21969074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.12888493392191]
Predicted rank: [0], ambiguousness: [[0.7364687  0.26353136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.83569923533668]
Predicted rank: [0], ambiguousness: [[0.6889067  0.31109327]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.25248395930625]
Predicted rank: [0], ambiguousness: [[0.66067636 0.3393236 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.30993733067146]
Predicted rank: [0], ambiguousness: [[0.6797483  0.32025167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.33561996667966]
Predicted rank: [0], ambiguousness: [[0.80714643 0.1928536 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.34481137883701]
Predicted rank: [0], ambiguousness: [[0.68633103 0.313669  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.49338980914966]
Predicted rank: [0], ambiguousness: [[0.7955056  0.20449442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.92708079011874]
Predicted rank: [0], ambiguousness: [[0.77068335 0.22931664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.64921205918716]
Predicted rank: [0], ambiguousness: [[0.8273576  0.17264241]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.09741713938345]
Predicted rank: [0], ambiguousness: [[0.8088821  0.19111788]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.15334743359693]
Predicted rank: [0], ambiguousness: [[0.8401062  0.15989383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.17765027732756]
Predicted rank: [0], ambiguousness: [[0.8918823  0.10811773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.7774615959323]
Predicted rank: [0], ambiguousness: [[0.69118345 0.30881655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.22250305257913]
Predicted rank: [0], ambiguousness: [[0.71563643 0.28436357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.3135778144784]
Predicted rank: [0], ambiguousness: [[0.77963376 0.22036625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.34146728231379]
Predicted rank: [0], ambiguousness: [[0.88913906 0.11086097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.35998672672031]
Predicted rank: [0], ambiguousness: [[0.66774744 0.33225256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.41275541924225]
Predicted rank: [0], ambiguousness: [[0.85434914 0.14565083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.4285213901392]
Predicted rank: [0], ambiguousness: [[0.68969893 0.31030107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.70922761773556]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.81135437528974]
Predicted rank: [0], ambiguousness: [[0.63390756 0.36609244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.45559825497405]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.60021044075492]
Predicted rank: [0], ambiguousness: [[0.6616456 0.3383544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.69235078905295]
Predicted rank: [0], ambiguousness: [[0.6542107  0.34578934]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.11951997722264]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.80888825349639]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.10174724301473]
Predicted rank: [0], ambiguousness: [[0.7991807  0.20081931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.22025241188678]
Predicted rank: [0], ambiguousness: [[0.84331506 0.15668495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.60528759002472]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.52563668618248]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.67720882431905]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.08285844871074]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.79328961873094]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.20814251207668]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.26616391342728]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.2920641864051]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.34254076098671]
Predicted rank: [0], ambiguousness: [[0.7087046  0.29129538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.49116195270997]
Predicted rank: [0], ambiguousness: [[0.8218716 0.1781284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.92489162591957]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.64708954059307]
Predicted rank: [0], ambiguousness: [[0.8500998  0.14990018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.09534500381301]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.15128382355647]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.17558699614757]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.77530900929892]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.22039686061751]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.31149420983934]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.33938495381621]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.35794176113464]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.41070993057205]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.42648509594918]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.99032007095803]
Predicted rank: [0], ambiguousness: [[0.6799159  0.32008412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.60346002788913]
Predicted rank: [0], ambiguousness: [[0.7392241  0.26077592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.74386872219463]
Predicted rank: [0], ambiguousness: [[0.6869805  0.31301954]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.83437637003169]
Predicted rank: [0], ambiguousness: [[0.70960146 0.29039854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.26615334047526]
Predicted rank: [0], ambiguousness: [[0.5869782 0.4130218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.49020148344923]
Predicted rank: [0], ambiguousness: [[0.7258173  0.27418265]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.8358787182969]
Predicted rank: [0], ambiguousness: [[0.78316593 0.2168341 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.96338111794873]
Predicted rank: [0], ambiguousness: [[0.786723   0.21327701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.33170345591216]
Predicted rank: [0], ambiguousness: [[0.6492461  0.35075393]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.39937536376675]
Predicted rank: [0], ambiguousness: [[0.72559536 0.27440467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.55705382110895]
Predicted rank: [0], ambiguousness: [[0.7569874  0.24301262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.95510785874689]
Predicted rank: [0], ambiguousness: [[0.71604204 0.28395796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.68063428756568]
Predicted rank: [0], ambiguousness: [[0.62023264 0.37976736]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.08865869544812]
Predicted rank: [0], ambiguousness: [[0.64986396 0.35013604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.1492601569702]
Predicted rank: [0], ambiguousness: [[0.63744724 0.36255276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.17603006984831]
Predicted rank: [0], ambiguousness: [[0.8060181  0.19398186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.65197843340712]
Predicted rank: [0], ambiguousness: [[0.63279074 0.36720926]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.86993379244748]
Predicted rank: [0], ambiguousness: [[0.7402644 0.2597356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.20477325698526]
Predicted rank: [0], ambiguousness: [[0.7257887 0.2742113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.13735787393709]
Predicted rank: [0], ambiguousness: [[0.79054284 0.20945717]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.4991855402057]
Predicted rank: [0], ambiguousness: [[0.7692265  0.23077351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.58595992693445]
Predicted rank: [0], ambiguousness: [[0.80537045 0.19462958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.62157906348448]
Predicted rank: [0], ambiguousness: [[0.86660856 0.13339145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.53990912062025]
Predicted rank: [0], ambiguousness: [[0.679467   0.32053298]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.91424425896369]
Predicted rank: [0], ambiguousness: [[0.7044511  0.29554895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.04515871025441]
Predicted rank: [0], ambiguousness: [[0.7701571  0.22984289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.0826926018645]
Predicted rank: [0], ambiguousness: [[0.8836689 0.1163311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.133080160243]
Predicted rank: [0], ambiguousness: [[0.65558493 0.34441507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.20077190511961]
Predicted rank: [0], ambiguousness: [[0.84745693 0.15254304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.22969840305271]
Predicted rank: [0], ambiguousness: [[0.6779524  0.32204756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.30259105359502]
Predicted rank: [0], ambiguousness: [[0.63903224 0.3609678 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.7028255038519]
Predicted rank: [0], ambiguousness: [[0.6656169  0.33438307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.83401675204821]
Predicted rank: [0], ambiguousness: [[0.785863 0.214137]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.87149488334822]
Predicted rank: [0], ambiguousness: [[0.90133274 0.09866725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.97285101599181]
Predicted rank: [0], ambiguousness: [[0.81424725 0.18575275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.03855265991598]
Predicted rank: [0], ambiguousness: [[0.91974545 0.08025458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.06768816525067]
Predicted rank: [0], ambiguousness: [[0.8387822  0.16121782]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.08431947239102]
Predicted rank: [0], ambiguousness: [[0.67063606 0.32936397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.15883810057665]
Predicted rank: [0], ambiguousness: [[0.87776166 0.12223835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.22371747095922]
Predicted rank: [0], ambiguousness: [[0.7898134  0.21018657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.25828727297767]
Predicted rank: [0], ambiguousness: [[0.6612061 0.3387939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.31136111604918]
Predicted rank: [0], ambiguousness: [[0.67458856 0.32541147]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.90066349757541]
Predicted rank: [0], ambiguousness: [[0.73080087 0.2691991 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.03597673049671]
Predicted rank: [0], ambiguousness: [[0.64622533 0.35377464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.12415726943703]
Predicted rank: [0], ambiguousness: [[0.70060897 0.29939103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.56420670206396]
Predicted rank: [0], ambiguousness: [[0.60210884 0.3978912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.8378063012818]
Predicted rank: [0], ambiguousness: [[0.7328999 0.2671001]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.16970738723901]
Predicted rank: [0], ambiguousness: [[0.7649102  0.23508975]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.29334506183639]
Predicted rank: [0], ambiguousness: [[0.7858585  0.21414146]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.67258257481691]
Predicted rank: [0], ambiguousness: [[0.67185885 0.32814115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.70636737544639]
Predicted rank: [0], ambiguousness: [[0.70432264 0.29567736]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.85953795811567]
Predicted rank: [0], ambiguousness: [[0.7635271  0.23647292]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.26692495859966]
Predicted rank: [0], ambiguousness: [[0.74399096 0.25600904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.97828616641554]
Predicted rank: [0], ambiguousness: [[0.6286472  0.37135282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.39517376935461]
Predicted rank: [0], ambiguousness: [[0.6502282 0.3497718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.45379597854713]
Predicted rank: [0], ambiguousness: [[0.66956204 0.33043796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.47975215570975]
Predicted rank: [0], ambiguousness: [[0.82919073 0.17080925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.99260540387337]
Predicted rank: [0], ambiguousness: [[0.64065397 0.35934606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.2033698430944]
Predicted rank: [0], ambiguousness: [[0.78856647 0.21143351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.55026023062237]
Predicted rank: [0], ambiguousness: [[0.7779362  0.22206375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.4594680775677]
Predicted rank: [0], ambiguousness: [[0.8254712  0.17452876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.83211251970826]
Predicted rank: [0], ambiguousness: [[0.7901705  0.20982951]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.91578512571502]
Predicted rank: [0], ambiguousness: [[0.8501974  0.14980263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.95021394820574]
Predicted rank: [0], ambiguousness: [[0.891508   0.10849199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.84001385246549]
Predicted rank: [0], ambiguousness: [[0.72461045 0.27538958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.22405497894147]
Predicted rank: [0], ambiguousness: [[0.7327465  0.26725355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.35079052984915]
Predicted rank: [0], ambiguousness: [[0.8297962 0.1702038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.38721152589507]
Predicted rank: [0], ambiguousness: [[0.9106518 0.0893482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.4345445030105]
Predicted rank: [0], ambiguousness: [[0.73776907 0.26223093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.50047849442566]
Predicted rank: [0], ambiguousness: [[0.8662809  0.13371907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.52805143824159]
Predicted rank: [0], ambiguousness: [[0.72542137 0.27457863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.54668548069932]
Predicted rank: [0], ambiguousness: [[0.6872492  0.31275085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.9540502437149]
Predicted rank: [0], ambiguousness: [[0.6960259 0.3039741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.08195474762672]
Predicted rank: [0], ambiguousness: [[0.84226143 0.15773857]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.11856336289895]
Predicted rank: [0], ambiguousness: [[0.9245683  0.07543172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.21576148201231]
Predicted rank: [0], ambiguousness: [[0.8593055  0.14069447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.28016476086005]
Predicted rank: [0], ambiguousness: [[0.9292059  0.07079412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.30828795097932]
Predicted rank: [0], ambiguousness: [[0.860241 0.139759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.32128205628064]
Predicted rank: [0], ambiguousness: [[0.7375375  0.26246247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.39442286833551]
Predicted rank: [0], ambiguousness: [[0.8933168 0.1066832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.45763800577349]
Predicted rank: [0], ambiguousness: [[0.8250493  0.17495073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.49046429367985]
Predicted rank: [0], ambiguousness: [[0.7133175  0.28668252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.93066228155335]
Predicted rank: [0], ambiguousness: [[0.71504855 0.28495142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.25717138031354]
Predicted rank: [0], ambiguousness: [[0.7674449  0.23255509]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.37934067000761]
Predicted rank: [0], ambiguousness: [[0.8071036  0.19289644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.76206744720632]
Predicted rank: [0], ambiguousness: [[0.68071055 0.31928948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.78237968045454]
Predicted rank: [0], ambiguousness: [[0.71583736 0.28416264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.93379412174303]
Predicted rank: [0], ambiguousness: [[0.7735028  0.22649719]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.34397719318173]
Predicted rank: [0], ambiguousness: [[0.7373371 0.2626629]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.05046107565165]
Predicted rank: [0], ambiguousness: [[0.68042815 0.31957185]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.46993459376243]
Predicted rank: [0], ambiguousness: [[0.6616799  0.33832008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.52779751230013]
Predicted rank: [0], ambiguousness: [[0.6807227 0.3192773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.55346824631263]
Predicted rank: [0], ambiguousness: [[0.8009593  0.19904073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.64894560246455]
Predicted rank: [0], ambiguousness: [[0.64244395 0.35755605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.88181200273496]
Predicted rank: [0], ambiguousness: [[0.72084904 0.27915093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.20648622561272]
Predicted rank: [0], ambiguousness: [[0.7204915  0.27950847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.18478183177274]
Predicted rank: [0], ambiguousness: [[0.73310983 0.2668902 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.54048235592917]
Predicted rank: [0], ambiguousness: [[0.7794404  0.22055957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.63221187992337]
Predicted rank: [0], ambiguousness: [[0.77943516 0.22056487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.66931813520938]
Predicted rank: [0], ambiguousness: [[0.86422133 0.1357787 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.69132354155325]
Predicted rank: [0], ambiguousness: [[0.6754127 0.3245873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.06680444493796]
Predicted rank: [0], ambiguousness: [[0.7103405  0.28965947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.19984262728373]
Predicted rank: [0], ambiguousness: [[0.7497365 0.2502635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.23759341654818]
Predicted rank: [0], ambiguousness: [[0.88624847 0.11375152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.29082767804329]
Predicted rank: [0], ambiguousness: [[0.5886646 0.4113354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.35872137353846]
Predicted rank: [0], ambiguousness: [[0.8575447  0.14245526]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.38836296409718]
Predicted rank: [0], ambiguousness: [[0.6572656 0.3427344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 103.93542684217846]
Predicted rank: [0], ambiguousness: [[0.58046484 0.41953516]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.24019551446617]
Predicted rank: [0], ambiguousness: [[0.61909187 0.38090816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.43531154185285]
Predicted rank: [0], ambiguousness: [[0.73597544 0.26402456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.4886222943376]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.67554779698267]
Predicted rank: [0], ambiguousness: [[0.7816173 0.2183827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.76474960631371]
Predicted rank: [0], ambiguousness: [[0.8995657  0.10043427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.81622320078547]
Predicted rank: [0], ambiguousness: [[0.80261374 0.1973863 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.04972836753228]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.14551726525127]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.24220261764759]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.31226513936036]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.75088706859088]
Predicted rank: [0], ambiguousness: [[0.6254283  0.37457168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.8469380831092]
Predicted rank: [0], ambiguousness: [[0.8493152  0.15068479]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.94635901946862]
Predicted rank: [0], ambiguousness: [[0.80942464 0.19057536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.07034896471126]
Predicted rank: [0], ambiguousness: [[0.801675 0.198325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.16709995641122]
Predicted rank: [0], ambiguousness: [[0.6496073  0.35039267]]
Running local search 6
Switching 6 patient(s). Size of neighborhood: 38760
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.42510346474941]
Predicted rank: [0], ambiguousness: [[0.69269645 0.30730358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.28094399865634]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.61509025452112]
Predicted rank: [0], ambiguousness: [[0.69269645 0.30730358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.90695576340217]
Predicted rank: [0], ambiguousness: [[0.8151472  0.18485278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.15385911910593]
Predicted rank: [0], ambiguousness: [[0.8045691  0.19543085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.27729669476592]
Predicted rank: [0], ambiguousness: [[0.72811234 0.27188763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.37248286375286]
Predicted rank: [0], ambiguousness: [[0.7882581  0.21174191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.69345072539232]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.38788864547682]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.7982456614516]
Predicted rank: [0], ambiguousness: [[0.8158435  0.18415648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.04686194940601]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.17097334447462]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.26645775937753]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.5863601846016]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.28206226393755]
Predicted rank: [0], ambiguousness: [[0.6948962 0.3051038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.57023648995431]
Predicted rank: [0], ambiguousness: [[0.7766054  0.22339459]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.25898604110432]
Predicted rank: [0], ambiguousness: [[0.8031408  0.19685918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.45405653914581]
Predicted rank: [0], ambiguousness: [[0.7263153  0.27368468]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.57927902670639]
Predicted rank: [0], ambiguousness: [[0.78674215 0.21325786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.81014663468903]
Predicted rank: [0], ambiguousness: [[0.56560314 0.43439686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.50913589909689]
Predicted rank: [0], ambiguousness: [[0.8306894  0.16931063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.75833694817396]
Predicted rank: [0], ambiguousness: [[0.85198504 0.14801495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.87625732355536]
Predicted rank: [0], ambiguousness: [[0.8965343  0.10346565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.1575205764445]
Predicted rank: [0], ambiguousness: [[0.73183537 0.26816466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.96363225643717]
Predicted rank: [0], ambiguousness: [[0.79099476 0.2090052 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.12069562739386]
Predicted rank: [0], ambiguousness: [[0.8394718  0.16052817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.40710969243797]
Predicted rank: [0], ambiguousness: [[0.7236967  0.27630332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.22544669418029]
Predicted rank: [0], ambiguousness: [[0.7454784  0.25452164]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.51896501729539]
Predicted rank: [0], ambiguousness: [[0.6459968 0.3540032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.57721157239197]
Predicted rank: [0], ambiguousness: [[0.6654761  0.33452395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.60444275182495]
Predicted rank: [0], ambiguousness: [[0.7961678 0.2038322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.15870278698043]
Predicted rank: [0], ambiguousness: [[0.67062753 0.32937247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.49526195302425]
Predicted rank: [0], ambiguousness: [[0.7865002  0.21349978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.20686155667147]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.40459971180758]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.53086640652677]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.75877723408979]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.52818004230497]
Predicted rank: [0], ambiguousness: [[0.84110844 0.15889159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.77734264415884]
Predicted rank: [0], ambiguousness: [[0.8627501 0.1372499]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.89520518257277]
Predicted rank: [0], ambiguousness: [[0.90985996 0.09014004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.17677497106209]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.98233279117072]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.1393404332099]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.42604374941385]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.24406145319213]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.5378677050877]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.59608917737012]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.62330458599546]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.4180861261294]
Predicted rank: [0], ambiguousness: [[0.6955993 0.3044007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.10617911431623]
Predicted rank: [0], ambiguousness: [[0.77505696 0.22494303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.03605776281049]
Predicted rank: [0], ambiguousness: [[0.8045927  0.19540724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.24609707295471]
Predicted rank: [0], ambiguousness: [[0.72814214 0.27185786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.37664601904189]
Predicted rank: [0], ambiguousness: [[0.77365667 0.22634333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.59460294899407]
Predicted rank: [0], ambiguousness: [[0.54020107 0.4597989 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.05018843437472]
Predicted rank: [0], ambiguousness: [[0.79440856 0.20559144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.47986134895507]
Predicted rank: [0], ambiguousness: [[0.8192748  0.18072523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.64956526692353]
Predicted rank: [0], ambiguousness: [[0.87219226 0.12780774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.8034324765129]
Predicted rank: [0], ambiguousness: [[0.6824688  0.31753126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.11273610473296]
Predicted rank: [0], ambiguousness: [[0.7818701 0.2181299]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.32921851370057]
Predicted rank: [0], ambiguousness: [[0.832014   0.16798596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.51508398243983]
Predicted rank: [0], ambiguousness: [[0.7127011  0.28729892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.4999077734868]
Predicted rank: [0], ambiguousness: [[0.7350322  0.26496783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.69966204674905]
Predicted rank: [0], ambiguousness: [[0.6334751  0.36652488]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.78382769423132]
Predicted rank: [0], ambiguousness: [[0.6532736  0.34672645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.82110018363005]
Predicted rank: [0], ambiguousness: [[0.7872082  0.21279183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.3433638832881]
Predicted rank: [0], ambiguousness: [[0.74959254 0.25040746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.55433467239787]
Predicted rank: [0], ambiguousness: [[0.8443473  0.15565269]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.78424198116096]
Predicted rank: [0], ambiguousness: [[0.74894965 0.25105035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.78253227119433]
Predicted rank: [0], ambiguousness: [[0.8552552  0.14474481]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.03417618113409]
Predicted rank: [0], ambiguousness: [[0.79556555 0.20443445]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.11464011668215]
Predicted rank: [0], ambiguousness: [[0.8321026  0.16789742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.14934737414602]
Predicted rank: [0], ambiguousness: [[0.88680893 0.11319109]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.9784830629215]
Predicted rank: [0], ambiguousness: [[0.7660257  0.23397426]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.22669573618188]
Predicted rank: [0], ambiguousness: [[0.69077885 0.30922115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.35659997466703]
Predicted rank: [0], ambiguousness: [[0.75848246 0.24151756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.39615635778314]
Predicted rank: [0], ambiguousness: [[0.8763794  0.12362064]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.42717684381607]
Predicted rank: [0], ambiguousness: [[0.64080477 0.35919523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.50120633343782]
Predicted rank: [0], ambiguousness: [[0.83831346 0.16168655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.5254395822379]
Predicted rank: [0], ambiguousness: [[0.6636397  0.33636028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.98859099479759]
Predicted rank: [0], ambiguousness: [[0.6965487  0.30345133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.75764660313251]
Predicted rank: [0], ambiguousness: [[0.77415884 0.22584116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.6291315726854]
Predicted rank: [0], ambiguousness: [[0.8101727  0.18982735]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.82870999820867]
Predicted rank: [0], ambiguousness: [[0.7069872 0.2930128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.95450362630424]
Predicted rank: [0], ambiguousness: [[0.77987826 0.22012177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.18939547721064]
Predicted rank: [0], ambiguousness: [[0.57518935 0.42481062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.69925634497777]
Predicted rank: [0], ambiguousness: [[0.8214211 0.1785789]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.10547614868788]
Predicted rank: [0], ambiguousness: [[0.82162917 0.17837083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.26823686923767]
Predicted rank: [0], ambiguousness: [[0.8938236  0.10617638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.44254455091566]
Predicted rank: [0], ambiguousness: [[0.72838044 0.27161953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.69415454548799]
Predicted rank: [0], ambiguousness: [[0.78761244 0.21238755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.90231954871035]
Predicted rank: [0], ambiguousness: [[0.8663347  0.13366535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.10600873416085]
Predicted rank: [0], ambiguousness: [[0.7665369  0.23346311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.06423330144048]
Predicted rank: [0], ambiguousness: [[0.78667676 0.2133232 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.2809524188703]
Predicted rank: [0], ambiguousness: [[0.66533744 0.33466253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.3614686077245]
Predicted rank: [0], ambiguousness: [[0.73271567 0.26728433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.39723235699442]
Predicted rank: [0], ambiguousness: [[0.8323195  0.16768053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.81165867513785]
Predicted rank: [0], ambiguousness: [[0.75591934 0.24408063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.01628685563091]
Predicted rank: [0], ambiguousness: [[0.87652206 0.12347791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.25899026133385]
Predicted rank: [0], ambiguousness: [[0.797919   0.20208104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.23495317718567]
Predicted rank: [0], ambiguousness: [[0.88101655 0.11898343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.49837761615736]
Predicted rank: [0], ambiguousness: [[0.81469494 0.18530504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.57620553595743]
Predicted rank: [0], ambiguousness: [[0.87175304 0.12824698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.60984558359965]
Predicted rank: [0], ambiguousness: [[0.90833646 0.09166352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.41957190853998]
Predicted rank: [0], ambiguousness: [[0.8025214  0.19747858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.67922042984885]
Predicted rank: [0], ambiguousness: [[0.7198627 0.2801373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.80527874747503]
Predicted rank: [0], ambiguousness: [[0.8204446  0.17955542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.84371461980032]
Predicted rank: [0], ambiguousness: [[0.90487105 0.09512895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.87225316813743]
Predicted rank: [0], ambiguousness: [[0.72503656 0.27496344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.94446958664301]
Predicted rank: [0], ambiguousness: [[0.8580768 0.1419232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.96749632393613]
Predicted rank: [0], ambiguousness: [[0.7123231  0.28767687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.90691727991302]
Predicted rank: [0], ambiguousness: [[0.76755464 0.23244539]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.75687922790253]
Predicted rank: [0], ambiguousness: [[0.8044757  0.19552428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.95266683713456]
Predicted rank: [0], ambiguousness: [[0.7279947 0.2720053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.07698745616008]
Predicted rank: [0], ambiguousness: [[0.7881589 0.2118411]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.3161374795144]
Predicted rank: [0], ambiguousness: [[0.56670344 0.43329653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.20816346047559]
Predicted rank: [0], ambiguousness: [[0.8011483  0.19885173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.68883750276751]
Predicted rank: [0], ambiguousness: [[0.829661   0.17033897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.86456445438796]
Predicted rank: [0], ambiguousness: [[0.87065196 0.12934805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.01388117659036]
Predicted rank: [0], ambiguousness: [[0.66659975 0.33340025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.47267251694026]
Predicted rank: [0], ambiguousness: [[0.78891164 0.21108837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.68996530244931]
Predicted rank: [0], ambiguousness: [[0.8258097  0.17419027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.88166462251618]
Predicted rank: [0], ambiguousness: [[0.707253 0.292747]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.86298224599237]
Predicted rank: [0], ambiguousness: [[0.73049694 0.26950306]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.06886197186745]
Predicted rank: [0], ambiguousness: [[0.64005625 0.35994372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.15324398860307]
Predicted rank: [0], ambiguousness: [[0.6274911 0.3725089]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.19032939390142]
Predicted rank: [0], ambiguousness: [[0.7914218  0.20857821]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.41237263181036]
Predicted rank: [0], ambiguousness: [[0.7104753  0.28952464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.71457692301266]
Predicted rank: [0], ambiguousness: [[0.80532426 0.19467574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.81554882088548]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.08957097973362]
Predicted rank: [0], ambiguousness: [[0.82887584 0.17112415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.2289716992652]
Predicted rank: [0], ambiguousness: [[0.7606187  0.23938134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.35013564616432]
Predicted rank: [0], ambiguousness: [[0.8018458 0.1981542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.39966636414371]
Predicted rank: [0], ambiguousness: [[0.85961163 0.1403884 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.65747751656828]
Predicted rank: [0], ambiguousness: [[0.76345885 0.23654114]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.81542955407431]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.997655658495]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.0496578626467]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.12280256966606]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.21609612209299]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.2575614961039]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.72642942482688]
Predicted rank: [0], ambiguousness: [[0.7293999 0.2706001]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.92165718227682]
Predicted rank: [0], ambiguousness: [[0.64688015 0.35311985]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.10417073647159]
Predicted rank: [0], ambiguousness: [[0.7715516  0.22844838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.15607125662862]
Predicted rank: [0], ambiguousness: [[0.8890483 0.1109517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.30111369937262]
Predicted rank: [0], ambiguousness: [[0.80689716 0.19310285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.39152616247273]
Predicted rank: [0], ambiguousness: [[0.9123783  0.08762169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.43323015500057]
Predicted rank: [0], ambiguousness: [[0.8296444  0.17035563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.46409802394793]
Predicted rank: [0], ambiguousness: [[0.6520335 0.3479665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.56638399374097]
Predicted rank: [0], ambiguousness: [[0.86298853 0.13701145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.6572453534999]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.70840128052988]
Predicted rank: [0], ambiguousness: [[0.6322421  0.36775792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.41585705251565]
Predicted rank: [0], ambiguousness: [[0.63869494 0.36130506]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.25641583221781]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.59094497999844]
Predicted rank: [0], ambiguousness: [[0.65635777 0.34364226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.8828104888795]
Predicted rank: [0], ambiguousness: [[0.78702146 0.21297854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.12971384458325]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.25315142024326]
Predicted rank: [0], ambiguousness: [[0.69411224 0.30588776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.34833758923018]
Predicted rank: [0], ambiguousness: [[0.7592928  0.24070722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.66930545086964]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.31895720921935]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.73561202566779]
Predicted rank: [0], ambiguousness: [[0.78779614 0.21220389]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.98434441685248]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.10849964766598]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.20400393077026]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.52383309233178]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.2252777474784]
Predicted rank: [0], ambiguousness: [[0.6607231 0.3392769]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.51371460263435]
Predicted rank: [0], ambiguousness: [[0.75446784 0.24553218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.20294491696458]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.39809376828654]
Predicted rank: [0], ambiguousness: [[0.69411224 0.30588776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.52334956829058]
Predicted rank: [0], ambiguousness: [[0.7592928  0.24070722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.75410921245134]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.45446117451374]
Predicted rank: [0], ambiguousness: [[0.8075127  0.19248728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.70371541139953]
Predicted rank: [0], ambiguousness: [[0.8407049  0.15929508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.82165028103545]
Predicted rank: [0], ambiguousness: [[0.88564235 0.11435766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.10286738477143]
Predicted rank: [0], ambiguousness: [[0.74082834 0.25917166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.90906805518591]
Predicted rank: [0], ambiguousness: [[0.7639286 0.2360714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.06615026521558]
Predicted rank: [0], ambiguousness: [[0.81723285 0.18276715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.35252099542933]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.17092192719454]
Predicted rank: [0], ambiguousness: [[0.7146442  0.28535578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.46439886501902]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.5226537841814]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.54988845358825]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.88284099477073]
Predicted rank: [0], ambiguousness: [[0.6330616 0.3669384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.23534081554564]
Predicted rank: [0], ambiguousness: [[0.75532407 0.24467592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.96671707988142]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.16745854533443]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.29499931808886]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.5187780773411]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.3434599949531]
Predicted rank: [0], ambiguousness: [[0.81770086 0.18229915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.59437396945829]
Predicted rank: [0], ambiguousness: [[0.84530103 0.15469897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.71273210658707]
Predicted rank: [0], ambiguousness: [[0.8953201  0.10467987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.99267703945168]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.8012982087118]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.95894772855371]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.2441208057449]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.06435369963961]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.35669429142655]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.41520023425738]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.44253650272572]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.2259146407673]
Predicted rank: [0], ambiguousness: [[0.67152977 0.32847026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.8922779943637]
Predicted rank: [0], ambiguousness: [[0.7447012 0.2552988]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.84329719798833]
Predicted rank: [0], ambiguousness: [[0.77899235 0.22100765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.05588511024894]
Predicted rank: [0], ambiguousness: [[0.69630635 0.30369368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.18749598805206]
Predicted rank: [0], ambiguousness: [[0.74528635 0.25471368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.40209265377352]
Predicted rank: [0], ambiguousness: [[0.5587715 0.4412285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.85522328835592]
Predicted rank: [0], ambiguousness: [[0.77563196 0.22436805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.29007887980995]
Predicted rank: [0], ambiguousness: [[0.8062252  0.19377485]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.4611888957504]
Predicted rank: [0], ambiguousness: [[0.85926104 0.14073895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.61128343764929]
Predicted rank: [0], ambiguousness: [[0.692634   0.30736604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.93385290923939]
Predicted rank: [0], ambiguousness: [[0.762291 0.237709]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.15193222903207]
Predicted rank: [0], ambiguousness: [[0.8158759  0.18412408]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.334695638847]
Predicted rank: [0], ambiguousness: [[0.7364687  0.26353136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.32438792822848]
Predicted rank: [0], ambiguousness: [[0.71279323 0.28720674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.52121657511066]
Predicted rank: [0], ambiguousness: [[0.66067636 0.3393236 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.60608158119206]
Predicted rank: [0], ambiguousness: [[0.6797483  0.32025167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.64363476600073]
Predicted rank: [0], ambiguousness: [[0.80714643 0.1928536 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.19523741120298]
Predicted rank: [0], ambiguousness: [[0.72812366 0.27187634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.40709668619976]
Predicted rank: [0], ambiguousness: [[0.8291507  0.17084931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.63535954237335]
Predicted rank: [0], ambiguousness: [[0.77068335 0.22931664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.63670981487999]
Predicted rank: [0], ambiguousness: [[0.8443099  0.15569006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.88686121134356]
Predicted rank: [0], ambiguousness: [[0.8088821  0.19111788]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.96768763597423]
Predicted rank: [0], ambiguousness: [[0.8401062  0.15989383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.0025379867235]
Predicted rank: [0], ambiguousness: [[0.8918823  0.10811773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.83431175276814]
Predicted rank: [0], ambiguousness: [[0.7454874 0.2545126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.08108618597092]
Predicted rank: [0], ambiguousness: [[0.71563643 0.28436357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.21151625067732]
Predicted rank: [0], ambiguousness: [[0.77963376 0.22036625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.25122159626468]
Predicted rank: [0], ambiguousness: [[0.88913906 0.11086097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.28262602296364]
Predicted rank: [0], ambiguousness: [[0.66774744 0.33225256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.35689215920135]
Predicted rank: [0], ambiguousness: [[0.85434914 0.14565083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.38129376483644]
Predicted rank: [0], ambiguousness: [[0.68969893 0.31030107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.07059903528555]
Predicted rank: [0], ambiguousness: [[0.6386349  0.36136505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.68288289514658]
Predicted rank: [0], ambiguousness: [[0.72281396 0.27718604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.71088968075307]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.92929391874435]
Predicted rank: [0], ambiguousness: [[0.6720969 0.3279031]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.06312097731373]
Predicted rank: [0], ambiguousness: [[0.7234306  0.27656943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.27187221170696]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.7680812423867]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.21200374568829]
Predicted rank: [0], ambiguousness: [[0.81961364 0.18038636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.38528663548443]
Predicted rank: [0], ambiguousness: [[0.8767271 0.1232729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.5304431748024]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.87889861286006]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.09914571814375]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.2784642558913]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.27414102775221]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.4677876514979]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.55359220293347]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.59150261249026]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.21438587483458]
Predicted rank: [0], ambiguousness: [[0.7486081  0.25139186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.42618724375563]
Predicted rank: [0], ambiguousness: [[0.8519859  0.14801411]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.6547733389084]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.65577515001848]
Predicted rank: [0], ambiguousness: [[0.86518294 0.13481708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.90624828767626]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.98703491914252]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.02186406298368]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.8530669998955]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.1001473206122]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.23053841248634]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.27022339667965]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.30163704579843]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.37586612109567]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.40025894870968]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.01450498851555]
Predicted rank: [0], ambiguousness: [[0.7373183 0.2626817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.98252812418343]
Predicted rank: [0], ambiguousness: [[0.77956307 0.2204369 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.19316385943762]
Predicted rank: [0], ambiguousness: [[0.69700754 0.30299243]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.32396073646652]
Predicted rank: [0], ambiguousness: [[0.76178294 0.23821706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.54138837223604]
Predicted rank: [0], ambiguousness: [[0.5869782 0.4130218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.27345687282994]
Predicted rank: [0], ambiguousness: [[0.77723056 0.22276944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.80291655804602]
Predicted rank: [0], ambiguousness: [[0.80483043 0.19516958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.99068200887251]
Predicted rank: [0], ambiguousness: [[0.84744877 0.15255123]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.1086609990133]
Predicted rank: [0], ambiguousness: [[0.6492461  0.35075393]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.69590757197952]
Predicted rank: [0], ambiguousness: [[0.7639557  0.23604429]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.92584836628954]
Predicted rank: [0], ambiguousness: [[0.804133   0.19586699]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.09309598856507]
Predicted rank: [0], ambiguousness: [[0.71604204 0.28395796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.11271720134265]
Predicted rank: [0], ambiguousness: [[0.7012502 0.2987498]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.29552610901109]
Predicted rank: [0], ambiguousness: [[0.64986396 0.35013604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.38541907569538]
Predicted rank: [0], ambiguousness: [[0.63744724 0.36255276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.4246953629563]
Predicted rank: [0], ambiguousness: [[0.8060181  0.19398186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.59498226802604]
Predicted rank: [0], ambiguousness: [[0.6783741 0.3216259]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.91556417449934]
Predicted rank: [0], ambiguousness: [[0.78049034 0.21950968]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 100.9866141218065]
Predicted rank: [0], ambiguousness: [[0.7257887 0.2742113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.32033460104594]
Predicted rank: [0], ambiguousness: [[0.81028116 0.18971881]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.43312335510097]
Predicted rank: [0], ambiguousness: [[0.7692265  0.23077351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.56217210373313]
Predicted rank: [0], ambiguousness: [[0.80537045 0.19462958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.61468327977438]
Predicted rank: [0], ambiguousness: [[0.86660856 0.13339145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.95024612318906]
Predicted rank: [0], ambiguousness: [[0.7350415  0.26495853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.08497049493263]
Predicted rank: [0], ambiguousness: [[0.7044511  0.29554895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.2774978406888]
Predicted rank: [0], ambiguousness: [[0.7701571  0.22984289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.3321854083948]
Predicted rank: [0], ambiguousness: [[0.8836689 0.1163311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.4130640406599]
Predicted rank: [0], ambiguousness: [[0.65558493 0.34441507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.51059195369939]
Predicted rank: [0], ambiguousness: [[0.84745693 0.15254304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.55537987014404]
Predicted rank: [0], ambiguousness: [[0.6779524  0.32204756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.18738681258219]
Predicted rank: [0], ambiguousness: [[0.69850653 0.30149347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.36775433933376]
Predicted rank: [0], ambiguousness: [[0.6656169  0.33438307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.5571159633457]
Predicted rank: [0], ambiguousness: [[0.785863 0.214137]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.6108069600416]
Predicted rank: [0], ambiguousness: [[0.90133274 0.09866725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.76458909014686]
Predicted rank: [0], ambiguousness: [[0.81424725 0.18575275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.85767421525489]
Predicted rank: [0], ambiguousness: [[0.91974545 0.08025458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.90146320906523]
Predicted rank: [0], ambiguousness: [[0.8387822  0.16121782]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.93976473871487]
Predicted rank: [0], ambiguousness: [[0.67063606 0.32936397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.04489136991884]
Predicted rank: [0], ambiguousness: [[0.87776166 0.12223835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.13920145312959]
Predicted rank: [0], ambiguousness: [[0.7898134  0.21018657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.19399008524292]
Predicted rank: [0], ambiguousness: [[0.6612061 0.3387939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.65596816928094]
Predicted rank: [0], ambiguousness: [[0.7418184  0.25818157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.57069012512487]
Predicted rank: [0], ambiguousness: [[0.78033334 0.21966667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.77096878532308]
Predicted rank: [0], ambiguousness: [[0.66758305 0.33241695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.89705301485841]
Predicted rank: [0], ambiguousness: [[0.76259637 0.23740363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.13132396540982]
Predicted rank: [0], ambiguousness: [[0.60210884 0.3978912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.9656200015892]
Predicted rank: [0], ambiguousness: [[0.7833814  0.21661861]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.4661467417269]
Predicted rank: [0], ambiguousness: [[0.7879048 0.2120952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.64595298523439]
Predicted rank: [0], ambiguousness: [[0.84678257 0.15321745]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.78644690535691]
Predicted rank: [0], ambiguousness: [[0.67185885 0.32814115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.30139446588448]
Predicted rank: [0], ambiguousness: [[0.74461013 0.25538987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.52219277199356]
Predicted rank: [0], ambiguousness: [[0.8097229  0.19027707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.7084467930256]
Predicted rank: [0], ambiguousness: [[0.74399096 0.25600904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.6992639864088]
Predicted rank: [0], ambiguousness: [[0.7087127  0.29128733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.90011568674356]
Predicted rank: [0], ambiguousness: [[0.6502282 0.3497718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.98600755776037]
Predicted rank: [0], ambiguousness: [[0.66956204 0.33043796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.02365129768899]
Predicted rank: [0], ambiguousness: [[0.82919073 0.17080925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.26310451086742]
Predicted rank: [0], ambiguousness: [[0.68574595 0.31425405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.56928442062673]
Predicted rank: [0], ambiguousness: [[0.8230994  0.17690063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.66472239334821]
Predicted rank: [0], ambiguousness: [[0.7779362  0.22206375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.9513351984219]
Predicted rank: [0], ambiguousness: [[0.8425736  0.15742643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.08600086625438]
Predicted rank: [0], ambiguousness: [[0.7901705  0.20982951]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.20885260546494]
Predicted rank: [0], ambiguousness: [[0.8501974  0.14980263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.25899472779658]
Predicted rank: [0], ambiguousness: [[0.891508   0.10849199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.53672404995623]
Predicted rank: [0], ambiguousness: [[0.7749502  0.22504978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.69101060372914]
Predicted rank: [0], ambiguousness: [[0.7327465  0.26725355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.87520768507368]
Predicted rank: [0], ambiguousness: [[0.8297962 0.1702038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.92769084762023]
Predicted rank: [0], ambiguousness: [[0.9106518 0.0893482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.00248717048561]
Predicted rank: [0], ambiguousness: [[0.73776907 0.26223093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.09652122125749]
Predicted rank: [0], ambiguousness: [[0.8662809  0.13371907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.1386309566377]
Predicted rank: [0], ambiguousness: [[0.72542137 0.27457863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.65944070062284]
Predicted rank: [0], ambiguousness: [[0.74198663 0.25801337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.85393350353735]
Predicted rank: [0], ambiguousness: [[0.6960259 0.3039741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.03688128882216]
Predicted rank: [0], ambiguousness: [[0.84226143 0.15773857]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.08888360941825]
Predicted rank: [0], ambiguousness: [[0.9245683  0.07543172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.23455759611917]
Predicted rank: [0], ambiguousness: [[0.8593055  0.14069447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.32511253377072]
Predicted rank: [0], ambiguousness: [[0.9292059  0.07079412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.36694271000496]
Predicted rank: [0], ambiguousness: [[0.860241 0.139759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.39821061038774]
Predicted rank: [0], ambiguousness: [[0.7375375  0.26246247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.5006512168145]
Predicted rank: [0], ambiguousness: [[0.8933168 0.1066832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.59172476254196]
Predicted rank: [0], ambiguousness: [[0.8250493  0.17495073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.6431310417415]
Predicted rank: [0], ambiguousness: [[0.7133175  0.28668252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.12847152319009]
Predicted rank: [0], ambiguousness: [[0.7665536  0.23344643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.6191788913822]
Predicted rank: [0], ambiguousness: [[0.7980624  0.20193762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.79636814427273]
Predicted rank: [0], ambiguousness: [[0.8529248  0.14707516]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.94313647065192]
Predicted rank: [0], ambiguousness: [[0.68071055 0.31928948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.43314486027258]
Predicted rank: [0], ambiguousness: [[0.76382136 0.2361786 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.65087706055803]
Predicted rank: [0], ambiguousness: [[0.8171441  0.18285592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.84208120222225]
Predicted rank: [0], ambiguousness: [[0.7373371 0.2626629]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.82433325120596]
Predicted rank: [0], ambiguousness: [[0.71452296 0.285477  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.02976531634306]
Predicted rank: [0], ambiguousness: [[0.6616799  0.33832008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.11433375612629]
Predicted rank: [0], ambiguousness: [[0.6807227 0.3192773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.15148166864034]
Predicted rank: [0], ambiguousness: [[0.8009593  0.19904073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.72851344711063]
Predicted rank: [0], ambiguousness: [[0.6874209 0.3125791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.06973552585052]
Predicted rank: [0], ambiguousness: [[0.7729024  0.22709759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.12942398550203]
Predicted rank: [0], ambiguousness: [[0.7204915  0.27950847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.5260063370904]
Predicted rank: [0], ambiguousness: [[0.8113312  0.18866879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.63341455932735]
Predicted rank: [0], ambiguousness: [[0.7794404  0.22055957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.76901359555578]
Predicted rank: [0], ambiguousness: [[0.77943516 0.22056487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.82338623004311]
Predicted rank: [0], ambiguousness: [[0.86422133 0.1357787 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.3106772769009]
Predicted rank: [0], ambiguousness: [[0.74206173 0.25793827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.45129398471744]
Predicted rank: [0], ambiguousness: [[0.7103405  0.28965947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.64543304732247]
Predicted rank: [0], ambiguousness: [[0.7497365 0.2502635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.70000283971711]
Predicted rank: [0], ambiguousness: [[0.88624847 0.11375152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.78406136925315]
Predicted rank: [0], ambiguousness: [[0.5886646 0.4113354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.88117908217033]
Predicted rank: [0], ambiguousness: [[0.8575447  0.14245526]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.92653780322868]
Predicted rank: [0], ambiguousness: [[0.6572656 0.3427344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.20743628446891]
Predicted rank: [0], ambiguousness: [[0.65508103 0.34491894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.2415806202768]
Predicted rank: [0], ambiguousness: [[0.61909187 0.38090816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.52782765047888]
Predicted rank: [0], ambiguousness: [[0.73597544 0.26402456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.60543562038211]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.8892633952173]
Predicted rank: [0], ambiguousness: [[0.7816173 0.2183827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.01793225117952]
Predicted rank: [0], ambiguousness: [[0.8995657  0.10043427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.09543582417018]
Predicted rank: [0], ambiguousness: [[0.80261374 0.1973863 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.46760045821263]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.60472523844167]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.74690980204281]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.85499219427504]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.58330144639504]
Predicted rank: [0], ambiguousness: [[0.6254283  0.37457168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.71903630537184]
Predicted rank: [0], ambiguousness: [[0.8493152  0.15068479]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.86279668428753]
Predicted rank: [0], ambiguousness: [[0.80942464 0.19057536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.04732044869658]
Predicted rank: [0], ambiguousness: [[0.801675 0.198325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.19907370377297]
Predicted rank: [0], ambiguousness: [[0.6496073  0.35039267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.72115941786079]
Predicted rank: [0], ambiguousness: [[0.5663806  0.43361938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.63365388126203]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.5487600841076]
Predicted rank: [0], ambiguousness: [[0.57767916 0.42232084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.35116500065504]
Predicted rank: [0], ambiguousness: [[0.73795855 0.26204145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.51500417329692]
Predicted rank: [0], ambiguousness: [[0.7238111 0.2761889]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.59988531897672]
Predicted rank: [0], ambiguousness: [[0.6698587  0.33014128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.66775401949377]
Predicted rank: [0], ambiguousness: [[0.69316435 0.30683562]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.16443767311716]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.4003473650615]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.26819450406443]
Predicted rank: [0], ambiguousness: [[0.7388525 0.2611475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.43300622951787]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.51826712781676]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.58630352633207]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.08239621988247]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.32052247765805]
Predicted rank: [0], ambiguousness: [[0.5689955  0.43100455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.83122181282377]
Predicted rank: [0], ambiguousness: [[0.700757   0.29924297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.27404935130389]
Predicted rank: [0], ambiguousness: [[0.7238111 0.2761889]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.4047585042973]
Predicted rank: [0], ambiguousness: [[0.6698587  0.33014128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.49179076207426]
Predicted rank: [0], ambiguousness: [[0.69316435 0.30683562]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.93191340107956]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.04431106534304]
Predicted rank: [0], ambiguousness: [[0.75913167 0.24086834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.2144305588672]
Predicted rank: [0], ambiguousness: [[0.81776965 0.18223032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.29789228148124]
Predicted rank: [0], ambiguousness: [[0.85373604 0.14626396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.76779681006327]
Predicted rank: [0], ambiguousness: [[0.7421725 0.2578275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.34844692685344]
Predicted rank: [0], ambiguousness: [[0.71247125 0.28752872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.45982994254561]
Predicted rank: [0], ambiguousness: [[0.77060086 0.22939913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.93252067379323]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.53110317387677]
Predicted rank: [0], ambiguousness: [[0.67683196 0.323168  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.00844097816532]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.04890062006395]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.06797881050836]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.13068130825923]
Predicted rank: [0], ambiguousness: [[0.5390725  0.46092752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.67582014748608]
Predicted rank: [0], ambiguousness: [[0.7017266  0.29827338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.14091721358076]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.27458902530584]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.3628275325132]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.79932295211347]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.97756145520265]
Predicted rank: [0], ambiguousness: [[0.7711548 0.2288452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.14857088424066]
Predicted rank: [0], ambiguousness: [[0.82288814 0.17711188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.23225906751509]
Predicted rank: [0], ambiguousness: [[0.86570454 0.13429545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.70149371289136]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.28343603710967]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.3951223298127]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.86718257592132]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.46673601427574]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.94347591709993]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.98407008391366]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.0032029302671]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.31117967719841]
Predicted rank: [0], ambiguousness: [[0.5941771  0.40582284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.44408536179137]
Predicted rank: [0], ambiguousness: [[0.6610811  0.33891892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.0446960944748]
Predicted rank: [0], ambiguousness: [[0.71481526 0.28518477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.18593351824248]
Predicted rank: [0], ambiguousness: [[0.67214453 0.32785544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.2767858062846]
Predicted rank: [0], ambiguousness: [[0.6648235  0.33517653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.7073415664999]
Predicted rank: [0], ambiguousness: [[0.5427346  0.45726535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.3729458152333]
Predicted rank: [0], ambiguousness: [[0.7219964  0.27800354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.6604530388334]
Predicted rank: [0], ambiguousness: [[0.77962685 0.22037315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.77766405444927]
Predicted rank: [0], ambiguousness: [[0.82147795 0.17852205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.16563638746162]
Predicted rank: [0], ambiguousness: [[0.6941248  0.30587515]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.07086891129998]
Predicted rank: [0], ambiguousness: [[0.71061194 0.2893881 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.22113389521814]
Predicted rank: [0], ambiguousness: [[0.7689955  0.23100446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.62887120570173]
Predicted rank: [0], ambiguousness: [[0.7236967  0.27630332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.33568550711647]
Predicted rank: [0], ambiguousness: [[0.67484736 0.32515264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.75247023108605]
Predicted rank: [0], ambiguousness: [[0.6459968 0.3540032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.80992360245126]
Predicted rank: [0], ambiguousness: [[0.6654761  0.33452395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.83560623845946]
Predicted rank: [0], ambiguousness: [[0.7961678 0.2038322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.84479765061681]
Predicted rank: [0], ambiguousness: [[0.67221063 0.32778937]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.99337608092947]
Predicted rank: [0], ambiguousness: [[0.7847586  0.21524139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.42706706189854]
Predicted rank: [0], ambiguousness: [[0.759027   0.24097301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.14919833096695]
Predicted rank: [0], ambiguousness: [[0.8230853  0.17691472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.59740341116324]
Predicted rank: [0], ambiguousness: [[0.8042608  0.19573921]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.65333370537675]
Predicted rank: [0], ambiguousness: [[0.8395572  0.16044283]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.67763654910735]
Predicted rank: [0], ambiguousness: [[0.8921494  0.10785063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.27744786771211]
Predicted rank: [0], ambiguousness: [[0.6771788 0.3228212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.72248932435892]
Predicted rank: [0], ambiguousness: [[0.702263 0.297737]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.81356408625822]
Predicted rank: [0], ambiguousness: [[0.7682955  0.23170446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.84145355409359]
Predicted rank: [0], ambiguousness: [[0.8821465  0.11785349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.8599729985001]
Predicted rank: [0], ambiguousness: [[0.65321314 0.34678683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.91274169102203]
Predicted rank: [0], ambiguousness: [[0.8455435  0.15445651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.92850766191901]
Predicted rank: [0], ambiguousness: [[0.6756585  0.32434148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.20921388951535]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.31134064706954]
Predicted rank: [0], ambiguousness: [[0.6355334 0.3644666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.95558452675385]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.10019671253472]
Predicted rank: [0], ambiguousness: [[0.64698553 0.35301447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.19233706083274]
Predicted rank: [0], ambiguousness: [[0.639404 0.360596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.61950624900243]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.3088745252762]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.60173351479452]
Predicted rank: [0], ambiguousness: [[0.7943844 0.2056156]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.72023868366657]
Predicted rank: [0], ambiguousness: [[0.842775   0.15722498]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.1052738618045]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.02562295796228]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.17719509609884]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.58284472049056]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.29327589051074]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.70812878385647]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.76615018520707]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.79205045818492]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.8425270327665]
Predicted rank: [0], ambiguousness: [[0.69514406 0.30485597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.99114822448978]
Predicted rank: [0], ambiguousness: [[0.81218314 0.18781687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.42487789769936]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.14707581237286]
Predicted rank: [0], ambiguousness: [[0.84628576 0.15371425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.59533127559281]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.65127009533629]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.67557326792738]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.27529528107873]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.7203831323973]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.81148048161914]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.83937122559601]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.85792803291446]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.91069620235187]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.92647136772896]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.49030634273782]
Predicted rank: [0], ambiguousness: [[0.6814401 0.3185599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.10344629966893]
Predicted rank: [0], ambiguousness: [[0.72653604 0.27346396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.24385499397445]
Predicted rank: [0], ambiguousness: [[0.6728754 0.3271246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.3343626418115]
Predicted rank: [0], ambiguousness: [[0.6960648  0.30393523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.76613961225506]
Predicted rank: [0], ambiguousness: [[0.57117975 0.42882028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.99018775522903]
Predicted rank: [0], ambiguousness: [[0.7127305  0.28726947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.3358649900767]
Predicted rank: [0], ambiguousness: [[0.77809334 0.22190666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.46336738972852]
Predicted rank: [0], ambiguousness: [[0.7860374  0.21396261]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.83168972769195]
Predicted rank: [0], ambiguousness: [[0.65084136 0.34915867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.89936163554657]
Predicted rank: [0], ambiguousness: [[0.71250206 0.28749794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.05704009288877]
Predicted rank: [0], ambiguousness: [[0.7448653  0.25513467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.45509413052667]
Predicted rank: [0], ambiguousness: [[0.70267975 0.29732025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.1806205593455]
Predicted rank: [0], ambiguousness: [[0.6048498  0.39515015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.58864496722792]
Predicted rank: [0], ambiguousness: [[0.6349751  0.36502495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.64924642874999]
Predicted rank: [0], ambiguousness: [[0.62233716 0.37766284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.6760163416281]
Predicted rank: [0], ambiguousness: [[0.7949916  0.20500836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.15196470518691]
Predicted rank: [0], ambiguousness: [[0.61760306 0.38239697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.36992006422727]
Predicted rank: [0], ambiguousness: [[0.7276083  0.27239168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.70475952876507]
Predicted rank: [0], ambiguousness: [[0.7127011  0.28729892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.6373441457169]
Predicted rank: [0], ambiguousness: [[0.78559566 0.21440437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.99917181198549]
Predicted rank: [0], ambiguousness: [[0.76392615 0.23607384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.08594619871425]
Predicted rank: [0], ambiguousness: [[0.80472994 0.19527009]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.12156533526428]
Predicted rank: [0], ambiguousness: [[0.86692876 0.13307123]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.03989539240006]
Predicted rank: [0], ambiguousness: [[0.66518843 0.3348116 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.4142305307435]
Predicted rank: [0], ambiguousness: [[0.69077885 0.30922115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.5451449820342]
Predicted rank: [0], ambiguousness: [[0.75848246 0.24151756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.58267887364431]
Predicted rank: [0], ambiguousness: [[0.8763794  0.12362064]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.6330664320228]
Predicted rank: [0], ambiguousness: [[0.64080477 0.35919523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.70075817689943]
Predicted rank: [0], ambiguousness: [[0.83831346 0.16168655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.7296846748325]
Predicted rank: [0], ambiguousness: [[0.6636397  0.33636028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.80257732537483]
Predicted rank: [0], ambiguousness: [[0.6239492  0.37605077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.20281177563169]
Predicted rank: [0], ambiguousness: [[0.65103817 0.34896183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.33400302382802]
Predicted rank: [0], ambiguousness: [[0.77475274 0.22524726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.37148115512801]
Predicted rank: [0], ambiguousness: [[0.8950186  0.10498141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.47283728777161]
Predicted rank: [0], ambiguousness: [[0.80972517 0.19027483]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.53853893169577]
Predicted rank: [0], ambiguousness: [[0.91721016 0.08278986]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.56767443703049]
Predicted rank: [0], ambiguousness: [[0.83822954 0.16177048]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.58430574417082]
Predicted rank: [0], ambiguousness: [[0.6561631 0.3438369]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.65882437235646]
Predicted rank: [0], ambiguousness: [[0.8701563 0.1298437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.72370374273902]
Predicted rank: [0], ambiguousness: [[0.7788505  0.22114952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.75827354475747]
Predicted rank: [0], ambiguousness: [[0.6465372  0.35346285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.81134738782899]
Predicted rank: [0], ambiguousness: [[0.676126 0.323874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.40064976935521]
Predicted rank: [0], ambiguousness: [[0.7178595  0.28214052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.53596300227652]
Predicted rank: [0], ambiguousness: [[0.63126945 0.36873052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.62414354121682]
Predicted rank: [0], ambiguousness: [[0.6868381 0.3131619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.06419297384375]
Predicted rank: [0], ambiguousness: [[0.58648133 0.41351867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.33779257306159]
Predicted rank: [0], ambiguousness: [[0.72002065 0.27997932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.6696936590188]
Predicted rank: [0], ambiguousness: [[0.75954175 0.24045826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.79333133361618]
Predicted rank: [0], ambiguousness: [[0.785171   0.21482903]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.1725688465967]
Predicted rank: [0], ambiguousness: [[0.673403 0.326597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.2063536472262]
Predicted rank: [0], ambiguousness: [[0.6906471 0.3093529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.35952422989547]
Predicted rank: [0], ambiguousness: [[0.7516242  0.24837579]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.76691123037946]
Predicted rank: [0], ambiguousness: [[0.7314506  0.26854938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.47827243819535]
Predicted rank: [0], ambiguousness: [[0.6133928  0.38660723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.89516004113443]
Predicted rank: [0], ambiguousness: [[0.63534606 0.36465392]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.95378225032694]
Predicted rank: [0], ambiguousness: [[0.65506613 0.34493384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.97973842748954]
Predicted rank: [0], ambiguousness: [[0.819186   0.18081403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.49259167565319]
Predicted rank: [0], ambiguousness: [[0.625599   0.37440097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.70335611487421]
Predicted rank: [0], ambiguousness: [[0.7775568  0.22244325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.05024650240216]
Predicted rank: [0], ambiguousness: [[0.7665369  0.23346311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.95945434934751]
Predicted rank: [0], ambiguousness: [[0.8211624  0.17883761]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.33209879148805]
Predicted rank: [0], ambiguousness: [[0.78521687 0.21478313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.41577139749484]
Predicted rank: [0], ambiguousness: [[0.84967685 0.15032315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.45020021998553]
Predicted rank: [0], ambiguousness: [[0.89177597 0.10822406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.3400001242453]
Predicted rank: [0], ambiguousness: [[0.71148884 0.28851113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.72404125072126]
Predicted rank: [0], ambiguousness: [[0.7198627 0.2801373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.85077680162895]
Predicted rank: [0], ambiguousness: [[0.8204446  0.17955542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.88719779767487]
Predicted rank: [0], ambiguousness: [[0.90487105 0.09512895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.93453077479029]
Predicted rank: [0], ambiguousness: [[0.72503656 0.27496344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.00046476620547]
Predicted rank: [0], ambiguousness: [[0.8580768 0.1419232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.0280377100214]
Predicted rank: [0], ambiguousness: [[0.7123231  0.28767687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.04667175247913]
Predicted rank: [0], ambiguousness: [[0.6731504  0.32684958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.45403651549469]
Predicted rank: [0], ambiguousness: [[0.6821399  0.31786013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.58194101940654]
Predicted rank: [0], ambiguousness: [[0.83345723 0.1665428 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.61854963467874]
Predicted rank: [0], ambiguousness: [[0.9196084  0.08039159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.7157477537921]
Predicted rank: [0], ambiguousness: [[0.85568595 0.14431404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.78015103263985]
Predicted rank: [0], ambiguousness: [[0.92694575 0.07305425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.80827422275912]
Predicted rank: [0], ambiguousness: [[0.85974956 0.14025041]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.82126832806046]
Predicted rank: [0], ambiguousness: [[0.72479796 0.275202  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.89440914011533]
Predicted rank: [0], ambiguousness: [[0.8865542  0.11344581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.9576242775533]
Predicted rank: [0], ambiguousness: [[0.8154948  0.18450521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.99045056545964]
Predicted rank: [0], ambiguousness: [[0.6998807  0.30011928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.43064855333314]
Predicted rank: [0], ambiguousness: [[0.701659   0.29834098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.75715765209333]
Predicted rank: [0], ambiguousness: [[0.7621163 0.2378837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.87932694178741]
Predicted rank: [0], ambiguousness: [[0.80646735 0.19353266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.26205371898612]
Predicted rank: [0], ambiguousness: [[0.68223274 0.3177673 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.28236595223433]
Predicted rank: [0], ambiguousness: [[0.70246947 0.29753056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.43378039352282]
Predicted rank: [0], ambiguousness: [[0.7619455 0.2380545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.84396346496155]
Predicted rank: [0], ambiguousness: [[0.7245915 0.2754085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.55044734743146]
Predicted rank: [0], ambiguousness: [[0.6661713  0.33382872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.96992086554224]
Predicted rank: [0], ambiguousness: [[0.6470205  0.35297948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.02778378407993]
Predicted rank: [0], ambiguousness: [[0.66647255 0.33352745]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.05345451809242]
Predicted rank: [0], ambiguousness: [[0.78972024 0.21027976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.14893187424435]
Predicted rank: [0], ambiguousness: [[0.6274204 0.3725796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.38179827451478]
Predicted rank: [0], ambiguousness: [[0.7076206  0.29237938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.70647249739253]
Predicted rank: [0], ambiguousness: [[0.707253 0.292747]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.68476810355253]
Predicted rank: [0], ambiguousness: [[0.72727406 0.27272594]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.04046862770898]
Predicted rank: [0], ambiguousness: [[0.7743058  0.22569416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.13219815170316]
Predicted rank: [0], ambiguousness: [[0.7787327  0.22126728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.16930440698917]
Predicted rank: [0], ambiguousness: [[0.86454636 0.13545364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.19130981333305]
Predicted rank: [0], ambiguousness: [[0.6610435  0.33895648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.56679071671776]
Predicted rank: [0], ambiguousness: [[0.69682354 0.30317646]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.69982889906353]
Predicted rank: [0], ambiguousness: [[0.73737824 0.26262176]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.737579688328]
Predicted rank: [0], ambiguousness: [[0.8790984  0.12090158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.79081394982308]
Predicted rank: [0], ambiguousness: [[0.5728837 0.4271163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.85870764531826]
Predicted rank: [0], ambiguousness: [[0.84889805 0.15110192]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.88834923587699]
Predicted rank: [0], ambiguousness: [[0.6425183 0.3574817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.43541311395825]
Predicted rank: [0], ambiguousness: [[0.564602 0.435398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.74018178624598]
Predicted rank: [0], ambiguousness: [[0.60369235 0.39630765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.93529781363267]
Predicted rank: [0], ambiguousness: [[0.7231885  0.27681145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.9886085661174]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.17553406876249]
Predicted rank: [0], ambiguousness: [[0.7765189  0.22348112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.26473587809352]
Predicted rank: [0], ambiguousness: [[0.89646477 0.10353522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.31620947256526]
Predicted rank: [0], ambiguousness: [[0.8019663  0.19803368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.5497146393121]
Predicted rank: [0], ambiguousness: [[0.6520335 0.3479665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.64550353703109]
Predicted rank: [0], ambiguousness: [[0.86298853 0.13701145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.74218888942738]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.81225141114015]
Predicted rank: [0], ambiguousness: [[0.6322421  0.36775792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.2508733403707]
Predicted rank: [0], ambiguousness: [[0.6101237 0.3898763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.346924354889]
Predicted rank: [0], ambiguousness: [[0.84026206 0.15973791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.4463452912484]
Predicted rank: [0], ambiguousness: [[0.7992245  0.20077547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.57033523649108]
Predicted rank: [0], ambiguousness: [[0.79692316 0.20307682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.66708622819101]
Predicted rank: [0], ambiguousness: [[0.63471365 0.36528635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.72029338561013]
Predicted rank: [0], ambiguousness: [[0.5798583  0.42014167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.63052971863033]
Predicted rank: [0], ambiguousness: [[0.59840876 0.40159124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.5456359214759]
Predicted rank: [0], ambiguousness: [[0.5822266  0.41777343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.34804083802337]
Predicted rank: [0], ambiguousness: [[0.7275481  0.27245188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.51188001066521]
Predicted rank: [0], ambiguousness: [[0.72752714 0.27247286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.59676115634502]
Predicted rank: [0], ambiguousness: [[0.6739737 0.3260263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.66462985686206]
Predicted rank: [0], ambiguousness: [[0.6971202 0.3028798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.16131351048546]
Predicted rank: [0], ambiguousness: [[0.5724025  0.42759752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.39100482575596]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.25892212071403]
Predicted rank: [0], ambiguousness: [[0.73749715 0.26250285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.42373436153147]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.50899547199286]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.57703196431373]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.07312433573163]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.31139881432539]
Predicted rank: [0], ambiguousness: [[0.58481586 0.4151841 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.82209814949113]
Predicted rank: [0], ambiguousness: [[0.6992845 0.3007155]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.26492568797124]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.39563484096468]
Predicted rank: [0], ambiguousness: [[0.6840328  0.31596723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.4826670987416]
Predicted rank: [0], ambiguousness: [[0.70677584 0.29322416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.9227897377469]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.03518740201038]
Predicted rank: [0], ambiguousness: [[0.77078444 0.22921558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.20530689553456]
Predicted rank: [0], ambiguousness: [[0.8221426  0.17785743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.2887686181486]
Predicted rank: [0], ambiguousness: [[0.85424495 0.14575507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.75867314673062]
Predicted rank: [0], ambiguousness: [[0.74082834 0.25917166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.3393232635208]
Predicted rank: [0], ambiguousness: [[0.7255653  0.27443466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.45070627921295]
Predicted rank: [0], ambiguousness: [[0.7818582  0.21814178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.92339701046059]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.52197951054411]
Predicted rank: [0], ambiguousness: [[0.69084483 0.30915517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.99931731483267]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.0397769567313]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.0588551471757]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.09885221911385]
Predicted rank: [0], ambiguousness: [[0.5551325 0.4448675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.6454793363173]
Predicted rank: [0], ambiguousness: [[0.7002568 0.2997432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.11153091847336]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.24532983552942]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.3336202838477]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.76995792148008]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.95092707618053]
Predicted rank: [0], ambiguousness: [[0.7823927  0.21760733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.12198085830913]
Predicted rank: [0], ambiguousness: [[0.8271642  0.17283584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.20568070140581]
Predicted rank: [0], ambiguousness: [[0.86617833 0.13382165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.67487988524286]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.25689073448552]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.36859243681576]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.84061932916873]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.44022319959257]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.91693136574312]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.9575323849873]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.97666804998863]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.28702872502011]
Predicted rank: [0], ambiguousness: [[0.6118609  0.38813913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.41949684611794]
Predicted rank: [0], ambiguousness: [[0.6713814 0.3286186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.0205583731991]
Predicted rank: [0], ambiguousness: [[0.7296341 0.2703659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.1618445548179]
Predicted rank: [0], ambiguousness: [[0.6882136  0.31178638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.25271657878767]
Predicted rank: [0], ambiguousness: [[0.68108106 0.31891894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.68321368839145]
Predicted rank: [0], ambiguousness: [[0.56100374 0.43899626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.34887233247085]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.63647190490119]
Predicted rank: [0], ambiguousness: [[0.79354894 0.20645104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.75370737210984]
Predicted rank: [0], ambiguousness: [[0.8297435  0.17025647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.14161733718537]
Predicted rank: [0], ambiguousness: [[0.70387083 0.29612917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.04708742037528]
Predicted rank: [0], ambiguousness: [[0.7255653  0.27443466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.19737980555038]
Predicted rank: [0], ambiguousness: [[0.7818582  0.21814178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.6050668878253]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.31196227415737]
Predicted rank: [0], ambiguousness: [[0.69084483 0.30915517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.72869983782934]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.78616522772866]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.81185263189113]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.82160659837399]
Predicted rank: [0], ambiguousness: [[0.6882779 0.3117221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.97019817965165]
Predicted rank: [0], ambiguousness: [[0.7969753  0.20302469]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.40386672380856]
Predicted rank: [0], ambiguousness: [[0.7722804 0.2277196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.12604205689021]
Predicted rank: [0], ambiguousness: [[0.8348435  0.16515645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.5742269936379]
Predicted rank: [0], ambiguousness: [[0.816992   0.18300802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.63016256867274]
Predicted rank: [0], ambiguousness: [[0.8471415  0.15285853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.65446745537875]
Predicted rank: [0], ambiguousness: [[0.89691895 0.10308104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.25431549238589]
Predicted rank: [0], ambiguousness: [[0.6931137 0.3068863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.69933756405237]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.79042003665555]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.81831163308047]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.83683708892663]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.8896091075611]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.90537760427394]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.07122008503893]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.15557201962639]
Predicted rank: [0], ambiguousness: [[0.63390756 0.36609244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.82201517882879]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.96882717633615]
Predicted rank: [0], ambiguousness: [[0.6616456 0.3383544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.06185228287876]
Predicted rank: [0], ambiguousness: [[0.6542107  0.34578934]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.48641705070712]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.18077222536115]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.47770699921477]
Predicted rank: [0], ambiguousness: [[0.7991807  0.20081931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.59727446946809]
Predicted rank: [0], ambiguousness: [[0.84331506 0.15668495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.97961876062337]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.91072520852907]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.06346042743624]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.46697870500927]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.18085167881395]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.5937038235175]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.65223430633105]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.67833703849968]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.75418029562331]
Predicted rank: [0], ambiguousness: [[0.7087046  0.29129538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.90329118848355]
Predicted rank: [0], ambiguousness: [[0.8218716 0.1781284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.3361499832777]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.06000747722359]
Predicted rank: [0], ambiguousness: [[0.8500998  0.14990018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.50747565288057]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.56361316678947]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.5879944382115]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.18912233840003]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.63345119570818]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.72483805620169]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.75281024334622]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.77158295986575]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.82447948618324]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.84034855144363]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.3867295615705]
Predicted rank: [0], ambiguousness: [[0.69162333 0.30837667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.01071550365828]
Predicted rank: [0], ambiguousness: [[0.7495613  0.25043872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.15231859673375]
Predicted rank: [0], ambiguousness: [[0.69854414 0.3014559 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.2433220970224]
Predicted rank: [0], ambiguousness: [[0.7206692 0.2793308]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.67356057001348]
Predicted rank: [0], ambiguousness: [[0.6000856 0.3999144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.88373838691359]
Predicted rank: [0], ambiguousness: [[0.72784334 0.27215666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.23365440036966]
Predicted rank: [0], ambiguousness: [[0.78489375 0.21510626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.36214051213628]
Predicted rank: [0], ambiguousness: [[0.78843015 0.21156986]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.72809865321287]
Predicted rank: [0], ambiguousness: [[0.65156627 0.34843373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.80705227439432]
Predicted rank: [0], ambiguousness: [[0.7276224  0.27237764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.96571681626986]
Predicted rank: [0], ambiguousness: [[0.7588596  0.24114043]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.36202640901273]
Predicted rank: [0], ambiguousness: [[0.71811223 0.28188777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.09041504553124]
Predicted rank: [0], ambiguousness: [[0.6226332  0.37736675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.49680642405087]
Predicted rank: [0], ambiguousness: [[0.6521823  0.34781772]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.55783749572399]
Predicted rank: [0], ambiguousness: [[0.6398022 0.3601978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.58477464166096]
Predicted rank: [0], ambiguousness: [[0.8076086  0.19239137]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.05818929805997]
Predicted rank: [0], ambiguousness: [[0.64532274 0.35467726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.27753511672864]
Predicted rank: [0], ambiguousness: [[0.7505743  0.24942572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.61027717118111]
Predicted rank: [0], ambiguousness: [[0.7364687  0.26353136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.54729762548763]
Predicted rank: [0], ambiguousness: [[0.7993978  0.20060219]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.90728572207803]
Predicted rank: [0], ambiguousness: [[0.77873045 0.22126955]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.99465462171139]
Predicted rank: [0], ambiguousness: [[0.8137463  0.18625371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.03049522704748]
Predicted rank: [0], ambiguousness: [[0.87276536 0.12723464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.95495944243103]
Predicted rank: [0], ambiguousness: [[0.69118345 0.30881655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.3277391702257]
Predicted rank: [0], ambiguousness: [[0.71563643 0.28436357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.45940586595987]
Predicted rank: [0], ambiguousness: [[0.77963376 0.22036625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.49713220631882]
Predicted rank: [0], ambiguousness: [[0.88913906 0.11086097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.54811883260112]
Predicted rank: [0], ambiguousness: [[0.66774744 0.33225256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.61610966214448]
Predicted rank: [0], ambiguousness: [[0.85434914 0.14565083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.64528248324433]
Predicted rank: [0], ambiguousness: [[0.68969893 0.31030107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.73212065480405]
Predicted rank: [0], ambiguousness: [[0.6514685  0.34853145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.13152460361724]
Predicted rank: [0], ambiguousness: [[0.67759943 0.3224006 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.26313772276777]
Predicted rank: [0], ambiguousness: [[0.79486454 0.20513546]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.30072341506757]
Predicted rank: [0], ambiguousness: [[0.9060606  0.09393943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.40265724625884]
Predicted rank: [0], ambiguousness: [[0.82232535 0.17767462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.46851522006259]
Predicted rank: [0], ambiguousness: [[0.92366564 0.07633434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.49777923424786]
Predicted rank: [0], ambiguousness: [[0.8459951  0.15400489]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.51491243157923]
Predicted rank: [0], ambiguousness: [[0.68252444 0.31747556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.58959573659797]
Predicted rank: [0], ambiguousness: [[0.88347286 0.11652712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.65468332637468]
Predicted rank: [0], ambiguousness: [[0.7986914 0.2013086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.68948943800648]
Predicted rank: [0], ambiguousness: [[0.67326903 0.32673094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.22175934003523]
Predicted rank: [0], ambiguousness: [[0.66244686 0.33755317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.90312550054358]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.04833473383457]
Predicted rank: [0], ambiguousness: [[0.65632725 0.34367278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.14072163209246]
Predicted rank: [0], ambiguousness: [[0.6801319  0.31986806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.56737312778375]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.72941141033587]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.09619160618132]
Predicted rank: [0], ambiguousness: [[0.76536655 0.23463346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.22803394312803]
Predicted rank: [0], ambiguousness: [[0.7691296  0.23087044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.58711522072156]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.71439236962354]
Predicted rank: [0], ambiguousness: [[0.70485115 0.29514882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.87581068331104]
Predicted rank: [0], ambiguousness: [[0.7377587 0.2622413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.26813986832457]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.00373281303231]
Predicted rank: [0], ambiguousness: [[0.5959587  0.40404132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.40647356103574]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.46868837189464]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.49605675873886]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.99040943891649]
Predicted rank: [0], ambiguousness: [[0.6692116  0.33078837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.21263833122823]
Predicted rank: [0], ambiguousness: [[0.7811396  0.21886042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.54162001611166]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.48765122297951]
Predicted rank: [0], ambiguousness: [[0.8250444  0.17495564]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.84446768972336]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.93306039629346]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.96933929085273]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.90899515052698]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.27944221181457]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.41248212557343]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.45053654261145]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.50271302909775]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.57120331208723]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.6008291474131]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.72984176070669]
Predicted rank: [0], ambiguousness: [[0.6777179  0.32228208]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.1292796145012]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.26094945215394]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.29854019094265]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.40059454102455]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.46645323855441]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.49572874315773]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.51280859634926]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.58749754694043]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.6526112148918]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.68745867750133]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.9262528187003]
Predicted rank: [0], ambiguousness: [[0.7275121  0.27248788]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.27974615693904]
Predicted rank: [0], ambiguousness: [[0.77832717 0.22167285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.40837873374005]
Predicted rank: [0], ambiguousness: [[0.8165735  0.18342648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.7747703072202]
Predicted rank: [0], ambiguousness: [[0.68466437 0.31533563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.86669843512283]
Predicted rank: [0], ambiguousness: [[0.7282795 0.2717205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.02470908825998]
Predicted rank: [0], ambiguousness: [[0.78418124 0.21581873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.42239565298026]
Predicted rank: [0], ambiguousness: [[0.7408567 0.2591433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.14862300188983]
Predicted rank: [0], ambiguousness: [[0.6937574  0.30624256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.55631554131874]
Predicted rank: [0], ambiguousness: [[0.6657537  0.33424628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.61705798545798]
Predicted rank: [0], ambiguousness: [[0.6846765 0.3153235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.64387522491437]
Predicted rank: [0], ambiguousness: [[0.8106601  0.18933988]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.64124143781827]
Predicted rank: [0], ambiguousness: [[0.64742774 0.35257226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 103.88806812956972]
Predicted rank: [0], ambiguousness: [[0.72520745 0.27479255]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.19290660443369]
Predicted rank: [0], ambiguousness: [[0.71604204 0.28395796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.21578139039535]
Predicted rank: [0], ambiguousness: [[0.72792184 0.27207816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.55438585059449]
Predicted rank: [0], ambiguousness: [[0.7671525  0.23284751]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.65185655173457]
Predicted rank: [0], ambiguousness: [[0.76714694 0.23285304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.69106449973665]
Predicted rank: [0], ambiguousness: [[0.861099   0.13890098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.7797167231445]
Predicted rank: [0], ambiguousness: [[0.68016577 0.31983426]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.14149063522171]
Predicted rank: [0], ambiguousness: [[0.7057954  0.29420456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.28120732301207]
Predicted rank: [0], ambiguousness: [[0.7455882  0.25441185]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.3206417982939]
Predicted rank: [0], ambiguousness: [[0.88842416 0.11157585]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.37912853581263]
Predicted rank: [0], ambiguousness: [[0.5833302 0.4166698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.44964162954807]
Predicted rank: [0], ambiguousness: [[0.8601828 0.1398172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.48145891604314]
Predicted rank: [0], ambiguousness: [[0.66215146 0.33784854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.00175106718717]
Predicted rank: [0], ambiguousness: [[0.5954848 0.4045152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.2895066741151]
Predicted rank: [0], ambiguousness: [[0.62338656 0.37661344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.49452707786332]
Predicted rank: [0], ambiguousness: [[0.73950684 0.26049316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.5503360668179]
Predicted rank: [0], ambiguousness: [[0.8836689 0.1163311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.75090360233662]
Predicted rank: [0], ambiguousness: [[0.7847168 0.2152832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.8437790423173]
Predicted rank: [0], ambiguousness: [[0.90503055 0.09496947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.89851873179816]
Predicted rank: [0], ambiguousness: [[0.8122528  0.18774718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.1595915456164]
Predicted rank: [0], ambiguousness: [[0.67063606 0.32936397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.2588186060448]
Predicted rank: [0], ambiguousness: [[0.87776166 0.12223835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.36021187492528]
Predicted rank: [0], ambiguousness: [[0.7898134  0.21018657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.43548518998807]
Predicted rank: [0], ambiguousness: [[0.6612061 0.3387939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.95470253828381]
Predicted rank: [0], ambiguousness: [[0.62969434 0.37030566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.05301308360953]
Predicted rank: [0], ambiguousness: [[0.8570798  0.14292018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.1555712612722]
Predicted rank: [0], ambiguousness: [[0.81880623 0.18119377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.28500578513626]
Predicted rank: [0], ambiguousness: [[0.8113492 0.1886508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.38806802819448]
Predicted rank: [0], ambiguousness: [[0.66358656 0.33641344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.26540591741526]
Predicted rank: [0], ambiguousness: [[0.73080087 0.2691991 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.60627503894443]
Predicted rank: [0], ambiguousness: [[0.7562622  0.24373783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.73122019115718]
Predicted rank: [0], ambiguousness: [[0.81289476 0.18710524]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.10821941546726]
Predicted rank: [0], ambiguousness: [[0.702021 0.297979]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.16996209226208]
Predicted rank: [0], ambiguousness: [[0.6904788 0.3095212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.32352736039479]
Predicted rank: [0], ambiguousness: [[0.77677166 0.2232283 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.7304773799443]
Predicted rank: [0], ambiguousness: [[0.7527249 0.2472751]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.44267244043036]
Predicted rank: [0], ambiguousness: [[0.68449247 0.31550753]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.85916541410664]
Predicted rank: [0], ambiguousness: [[0.6482855  0.35171452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.91795512953281]
Predicted rank: [0], ambiguousness: [[0.698069 0.301931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.94396751725563]
Predicted rank: [0], ambiguousness: [[0.8221138 0.1778862]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.99964653569671]
Predicted rank: [0], ambiguousness: [[0.6232418  0.37675825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.23826474046646]
Predicted rank: [0], ambiguousness: [[0.7322999  0.26770008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.55624702873784]
Predicted rank: [0], ambiguousness: [[0.74399096 0.25600904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.5525823725416]
Predicted rank: [0], ambiguousness: [[0.72690177 0.2730982 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.90286536056084]
Predicted rank: [0], ambiguousness: [[0.76743835 0.23256163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.99685617958033]
Predicted rank: [0], ambiguousness: [[0.78467965 0.21532033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.03474602302802]
Predicted rank: [0], ambiguousness: [[0.8742404 0.1257596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.08943260856931]
Predicted rank: [0], ambiguousness: [[0.68792045 0.31207952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.46144866562985]
Predicted rank: [0], ambiguousness: [[0.70612776 0.29387224]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.59663258781319]
Predicted rank: [0], ambiguousness: [[0.77155674 0.22844325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.63487582005578]
Predicted rank: [0], ambiguousness: [[0.9029381  0.09706184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.689960210971]
Predicted rank: [0], ambiguousness: [[0.61736125 0.38263875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.7586006133813]
Predicted rank: [0], ambiguousness: [[0.86200786 0.13799213]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.78894815712047]
Predicted rank: [0], ambiguousness: [[0.6701312  0.32986882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.34643815347307]
Predicted rank: [0], ambiguousness: [[0.64629906 0.35370094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.64763299002402]
Predicted rank: [0], ambiguousness: [[0.6556492  0.34435079]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.84519666125041]
Predicted rank: [0], ambiguousness: [[0.80508614 0.19491385]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.89910187451852]
Predicted rank: [0], ambiguousness: [[0.9106518 0.0893482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.08979515047756]
Predicted rank: [0], ambiguousness: [[0.83549106 0.16450897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.17984515166987]
Predicted rank: [0], ambiguousness: [[0.91606736 0.08393267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.23212937096]
Predicted rank: [0], ambiguousness: [[0.8365547 0.1634453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.47503222554276]
Predicted rank: [0], ambiguousness: [[0.7375375  0.26246247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.57152326137206]
Predicted rank: [0], ambiguousness: [[0.8933168 0.1066832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.6692436977904]
Predicted rank: [0], ambiguousness: [[0.8250493  0.17495073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.74051881596998]
Predicted rank: [0], ambiguousness: [[0.7133175  0.28668252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.21019766770124]
Predicted rank: [0], ambiguousness: [[0.70120686 0.29879314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.30639780213039]
Predicted rank: [0], ambiguousness: [[0.87489164 0.12510838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.40605105982895]
Predicted rank: [0], ambiguousness: [[0.8501041  0.14989589]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.5304755562856]
Predicted rank: [0], ambiguousness: [[0.8378938  0.16210622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.62761753984232]
Predicted rank: [0], ambiguousness: [[0.70132524 0.29867476]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.09658866794851]
Predicted rank: [0], ambiguousness: [[0.6223104  0.37768957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.33204672998133]
Predicted rank: [0], ambiguousness: [[0.73155016 0.26844984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.65437561194966]
Predicted rank: [0], ambiguousness: [[0.7255719 0.2744281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.6411076125186]
Predicted rank: [0], ambiguousness: [[0.78302103 0.21697898]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.99515396872803]
Predicted rank: [0], ambiguousness: [[0.76903313 0.23096685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.08776786977126]
Predicted rank: [0], ambiguousness: [[0.8051997  0.19480032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.12516178625104]
Predicted rank: [0], ambiguousness: [[0.8613392  0.13866077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.1664007877421]
Predicted rank: [0], ambiguousness: [[0.68273836 0.31726164]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.54154367275848]
Predicted rank: [0], ambiguousness: [[0.71654713 0.28345284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.67487811315652]
Predicted rank: [0], ambiguousness: [[0.78040236 0.21959762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.71268715138734]
Predicted rank: [0], ambiguousness: [[0.88520825 0.11479172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.76612854817384]
Predicted rank: [0], ambiguousness: [[0.6687405 0.3312595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.83411302914021]
Predicted rank: [0], ambiguousness: [[0.84939384 0.15060614]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.86385237447656]
Predicted rank: [0], ambiguousness: [[0.681232   0.31876802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 103.99234827874852]
Predicted rank: [0], ambiguousness: [[0.5910076  0.40899238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.26744874435863]
Predicted rank: [0], ambiguousness: [[0.630043   0.36995694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.4895131405654]
Predicted rank: [0], ambiguousness: [[0.7173624  0.28263763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.54858388850326]
Predicted rank: [0], ambiguousness: [[0.88624847 0.11375152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.78602228893209]
Predicted rank: [0], ambiguousness: [[0.7235822 0.2764178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.88264649976406]
Predicted rank: [0], ambiguousness: [[0.91409326 0.08590676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.9419286095438]
Predicted rank: [0], ambiguousness: [[0.7901176  0.20988238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.31136713447736]
Predicted rank: [0], ambiguousness: [[0.66355646 0.33644357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.41138209453709]
Predicted rank: [0], ambiguousness: [[0.88611466 0.11388535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.51503866920069]
Predicted rank: [0], ambiguousness: [[0.7739159  0.22608414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.59351622523687]
Predicted rank: [0], ambiguousness: [[0.599213 0.400787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.42030960399934]
Predicted rank: [0], ambiguousness: [[0.58131504 0.41868496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.55792351277131]
Predicted rank: [0], ambiguousness: [[0.82415575 0.17584427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.71915766176431]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.95029830906431]
Predicted rank: [0], ambiguousness: [[0.7707086 0.2292914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.32150831418005]
Predicted rank: [0], ambiguousness: [[0.6496073  0.35039267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.02780012607712]
Predicted rank: [0], ambiguousness: [[0.6075812 0.3924188]]
Running local search 7
Switching 7 patient(s). Size of neighborhood: 77520
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.91579320036026]
Predicted rank: [0], ambiguousness: [[0.6759794  0.32402065]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.7563530825615]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.09088223034215]
Predicted rank: [0], ambiguousness: [[0.69269645 0.30730358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.38274773922322]
Predicted rank: [0], ambiguousness: [[0.8151472  0.18485278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.62965109492697]
Predicted rank: [0], ambiguousness: [[0.8045691  0.19543085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.75308867058696]
Predicted rank: [0], ambiguousness: [[0.72811234 0.27188763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.84827483957389]
Predicted rank: [0], ambiguousness: [[0.7882581  0.21174191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.16924270121335]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.81889445956304]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.23554927601151]
Predicted rank: [0], ambiguousness: [[0.8158435  0.18415648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.48428166719617]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.60843689800969]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.70394118111395]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.02377034267548]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.72521499782212]
Predicted rank: [0], ambiguousness: [[0.69681346 0.30318657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.01365185297806]
Predicted rank: [0], ambiguousness: [[0.7857221  0.21427791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.7028821673083]
Predicted rank: [0], ambiguousness: [[0.8045691  0.19543085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.89803101863023]
Predicted rank: [0], ambiguousness: [[0.72811234 0.27188763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.02328681863429]
Predicted rank: [0], ambiguousness: [[0.7882581  0.21174191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.25404646279505]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.95439842485744]
Predicted rank: [0], ambiguousness: [[0.8319596  0.16804036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.20365266174323]
Predicted rank: [0], ambiguousness: [[0.85858566 0.14141434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.32158753137915]
Predicted rank: [0], ambiguousness: [[0.90137833 0.09862169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.60280463511512]
Predicted rank: [0], ambiguousness: [[0.7421725 0.2578275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.40900530552963]
Predicted rank: [0], ambiguousness: [[0.79248846 0.20751151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.5660875155593]
Predicted rank: [0], ambiguousness: [[0.8406888  0.15931118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.85245824577302]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.67085917753823]
Predicted rank: [0], ambiguousness: [[0.74719334 0.25280663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.96433611536273]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.0225910345251]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.04982570393196]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.38277824511442]
Predicted rank: [0], ambiguousness: [[0.67062753 0.32937247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.73527806588936]
Predicted rank: [0], ambiguousness: [[0.7865002  0.21349978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.46665433022514]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.66739579567813]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.79493656843255]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.0187153276848]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.84339724529681]
Predicted rank: [0], ambiguousness: [[0.84110844 0.15889159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.094311219802]
Predicted rank: [0], ambiguousness: [[0.8627501 0.1372499]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.21266935693077]
Predicted rank: [0], ambiguousness: [[0.90985996 0.09014004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.49261428979538]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.3012354590555]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.45888497889743]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.7440580560886]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.56429094998333]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.85663154177027]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.9151374846011]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.94247375306944]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.725851891111]
Predicted rank: [0], ambiguousness: [[0.70698035 0.29301968]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.39221524470742]
Predicted rank: [0], ambiguousness: [[0.77683103 0.22316898]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.34323444833205]
Predicted rank: [0], ambiguousness: [[0.80619216 0.19380787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.55582236059264]
Predicted rank: [0], ambiguousness: [[0.7301574  0.26984262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.68743323839576]
Predicted rank: [0], ambiguousness: [[0.77543855 0.22456142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.90202990411723]
Predicted rank: [0], ambiguousness: [[0.5427346  0.45726535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.35516053869964]
Predicted rank: [0], ambiguousness: [[0.8031408  0.19685918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.79001613015366]
Predicted rank: [0], ambiguousness: [[0.8271806  0.17281936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.96112614609412]
Predicted rank: [0], ambiguousness: [[0.8781276  0.12187242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.11122068799301]
Predicted rank: [0], ambiguousness: [[0.6941248  0.30587515]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.4337901595831]
Predicted rank: [0], ambiguousness: [[0.79099476 0.2090052 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.65186947937579]
Predicted rank: [0], ambiguousness: [[0.8394718  0.16052817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.83463288919071]
Predicted rank: [0], ambiguousness: [[0.7236967  0.27630332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.8243251785722]
Predicted rank: [0], ambiguousness: [[0.7454784  0.25452164]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.02115382545438]
Predicted rank: [0], ambiguousness: [[0.6459968 0.3540032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.10601883153578]
Predicted rank: [0], ambiguousness: [[0.6654761  0.33452395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.14357201634445]
Predicted rank: [0], ambiguousness: [[0.7961678 0.2038322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.69517466154669]
Predicted rank: [0], ambiguousness: [[0.7596524 0.2403476]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.90703393654347]
Predicted rank: [0], ambiguousness: [[0.8513554  0.14864463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.13529679271704]
Predicted rank: [0], ambiguousness: [[0.759027   0.24097301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.13664706522371]
Predicted rank: [0], ambiguousness: [[0.8618525  0.13814749]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.38679846168728]
Predicted rank: [0], ambiguousness: [[0.8042608  0.19573921]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.46762488631794]
Predicted rank: [0], ambiguousness: [[0.8395572  0.16044283]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.5024752370672]
Predicted rank: [0], ambiguousness: [[0.8921494  0.10785063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.33424900311184]
Predicted rank: [0], ambiguousness: [[0.775623   0.22437698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.58102343631462]
Predicted rank: [0], ambiguousness: [[0.702263 0.297737]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.71145350102104]
Predicted rank: [0], ambiguousness: [[0.7682955  0.23170446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.75115884660838]
Predicted rank: [0], ambiguousness: [[0.8821465  0.11785349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.78256327330735]
Predicted rank: [0], ambiguousness: [[0.65321314 0.34678683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.85682940954504]
Predicted rank: [0], ambiguousness: [[0.8455435  0.15445651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.88123101518016]
Predicted rank: [0], ambiguousness: [[0.6756585  0.32434148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.57053628562926]
Predicted rank: [0], ambiguousness: [[0.6759224 0.3240776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.18282014549028]
Predicted rank: [0], ambiguousness: [[0.7567987 0.2432013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.21082693109679]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.42923116908804]
Predicted rank: [0], ambiguousness: [[0.707513   0.29248706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.56305822765744]
Predicted rank: [0], ambiguousness: [[0.75532067 0.24467936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.77180946205068]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.26801849273042]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.71194099603201]
Predicted rank: [0], ambiguousness: [[0.83940965 0.16059034]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.88522388582814]
Predicted rank: [0], ambiguousness: [[0.89354235 0.10645764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.0303804251461]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.37883586320376]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.59908296848745]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.77840150623501]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.77407827809591]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.9677249018416]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.05352945327718]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.09143986283397]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.71432312517828]
Predicted rank: [0], ambiguousness: [[0.7784841  0.22151592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.92612449409933]
Predicted rank: [0], ambiguousness: [[0.87168205 0.12831795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.15471058925212]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.15571240036218]
Predicted rank: [0], ambiguousness: [[0.8807059  0.11929409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.40618553801997]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.48697216948622]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.52180131332739]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.35300425023922]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.6000845709559]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.73047566283003]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.77016064702337]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.80157429614214]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.87580337143937]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.9001961990534]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.51444223885926]
Predicted rank: [0], ambiguousness: [[0.7700904  0.22990961]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.48246537452714]
Predicted rank: [0], ambiguousness: [[0.8067101  0.19328989]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.69310110978132]
Predicted rank: [0], ambiguousness: [[0.73081064 0.26918933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.82389798681021]
Predicted rank: [0], ambiguousness: [[0.79053116 0.20946883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.04132562257975]
Predicted rank: [0], ambiguousness: [[0.57117975 0.42882028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.77339412317366]
Predicted rank: [0], ambiguousness: [[0.8045927  0.19540724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.30285380838973]
Predicted rank: [0], ambiguousness: [[0.82590413 0.17409588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.4906192592162]
Predicted rank: [0], ambiguousness: [[0.8676549 0.1323451]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.60859824935699]
Predicted rank: [0], ambiguousness: [[0.65084136 0.34915867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.19584482232324]
Predicted rank: [0], ambiguousness: [[0.7925132 0.2074868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.42578561663325]
Predicted rank: [0], ambiguousness: [[0.8289183  0.17108172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.59303323890876]
Predicted rank: [0], ambiguousness: [[0.70267975 0.29732025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.61265445168635]
Predicted rank: [0], ambiguousness: [[0.7347601 0.2652399]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.7954633593548]
Predicted rank: [0], ambiguousness: [[0.6349751  0.36502495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.88535632603909]
Predicted rank: [0], ambiguousness: [[0.62233716 0.37766284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.9246326133]
Predicted rank: [0], ambiguousness: [[0.7949916  0.20500836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.09491951836975]
Predicted rank: [0], ambiguousness: [[0.7134013 0.2865987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.41550142484304]
Predicted rank: [0], ambiguousness: [[0.80755126 0.1924487 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.4865513721502]
Predicted rank: [0], ambiguousness: [[0.7127011  0.28729892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.82027185138966]
Predicted rank: [0], ambiguousness: [[0.83089006 0.16910996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.9330606054447]
Predicted rank: [0], ambiguousness: [[0.76392615 0.23607384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.06210935407685]
Predicted rank: [0], ambiguousness: [[0.80472994 0.19527009]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.11462053011809]
Predicted rank: [0], ambiguousness: [[0.86692876 0.13307123]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.45018337353277]
Predicted rank: [0], ambiguousness: [[0.7660257  0.23397426]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.58490774527635]
Predicted rank: [0], ambiguousness: [[0.69077885 0.30922115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.77743509103252]
Predicted rank: [0], ambiguousness: [[0.75848246 0.24151756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.83212265873851]
Predicted rank: [0], ambiguousness: [[0.8763794  0.12362064]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.91300129100361]
Predicted rank: [0], ambiguousness: [[0.64080477 0.35919523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.0105292040431]
Predicted rank: [0], ambiguousness: [[0.83831346 0.16168655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.05531712048773]
Predicted rank: [0], ambiguousness: [[0.6636397  0.33636028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.6873240629259]
Predicted rank: [0], ambiguousness: [[0.7322067  0.26779333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.86769158967748]
Predicted rank: [0], ambiguousness: [[0.65103817 0.34896183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.05705321368941]
Predicted rank: [0], ambiguousness: [[0.77475274 0.22524726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.11074421038532]
Predicted rank: [0], ambiguousness: [[0.8950186  0.10498141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.26452634049056]
Predicted rank: [0], ambiguousness: [[0.80972517 0.19027483]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.3576114655986]
Predicted rank: [0], ambiguousness: [[0.91721016 0.08278986]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.40140045940893]
Predicted rank: [0], ambiguousness: [[0.83822954 0.16177048]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.43970198905859]
Predicted rank: [0], ambiguousness: [[0.6561631 0.3438369]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.54482862026254]
Predicted rank: [0], ambiguousness: [[0.8701563 0.1298437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.6391387034733]
Predicted rank: [0], ambiguousness: [[0.7788505  0.22114952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.69392733558664]
Predicted rank: [0], ambiguousness: [[0.6465372  0.35346285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.15590541962464]
Predicted rank: [0], ambiguousness: [[0.77420104 0.225799  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.07062737546858]
Predicted rank: [0], ambiguousness: [[0.8074089  0.19259106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.2709060356668]
Predicted rank: [0], ambiguousness: [[0.7032714  0.29672864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.39699026520213]
Predicted rank: [0], ambiguousness: [[0.79127336 0.20872661]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.63126121575351]
Predicted rank: [0], ambiguousness: [[0.58648133 0.41351867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.46555725193292]
Predicted rank: [0], ambiguousness: [[0.8101727  0.18982735]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.96608399207061]
Predicted rank: [0], ambiguousness: [[0.8103755 0.1896245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.1458902355781]
Predicted rank: [0], ambiguousness: [[0.8670631 0.1329369]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.28638415570062]
Predicted rank: [0], ambiguousness: [[0.673403 0.326597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.80133171622819]
Predicted rank: [0], ambiguousness: [[0.7748183  0.22518171]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.02213002233728]
Predicted rank: [0], ambiguousness: [[0.8339469  0.16605312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.2083840433693]
Predicted rank: [0], ambiguousness: [[0.7314506  0.26854938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.19920123675251]
Predicted rank: [0], ambiguousness: [[0.74169385 0.25830615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.40005293708727]
Predicted rank: [0], ambiguousness: [[0.63534606 0.36465392]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.48594480810408]
Predicted rank: [0], ambiguousness: [[0.65506613 0.34493384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.52358854803268]
Predicted rank: [0], ambiguousness: [[0.819186   0.18081403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.76304176121113]
Predicted rank: [0], ambiguousness: [[0.7203013 0.2796987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.06922167097045]
Predicted rank: [0], ambiguousness: [[0.8459444  0.15405561]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.16465964369192]
Predicted rank: [0], ambiguousness: [[0.7665369  0.23346311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.4512724487656]
Predicted rank: [0], ambiguousness: [[0.86027944 0.13972056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.5859381165981]
Predicted rank: [0], ambiguousness: [[0.78521687 0.21478313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.70878985580865]
Predicted rank: [0], ambiguousness: [[0.84967685 0.15032315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.75893197814028]
Predicted rank: [0], ambiguousness: [[0.89177597 0.10822406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.03666130029995]
Predicted rank: [0], ambiguousness: [[0.8025214  0.19747858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.19094785407285]
Predicted rank: [0], ambiguousness: [[0.7198627 0.2801373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.37514493541738]
Predicted rank: [0], ambiguousness: [[0.8204446  0.17955542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.42762809796395]
Predicted rank: [0], ambiguousness: [[0.90487105 0.09512895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.50242442082933]
Predicted rank: [0], ambiguousness: [[0.72503656 0.27496344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.59645847160121]
Predicted rank: [0], ambiguousness: [[0.8580768 0.1419232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.6385682069814]
Predicted rank: [0], ambiguousness: [[0.7123231  0.28767687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.15937795096654]
Predicted rank: [0], ambiguousness: [[0.7724102  0.22758979]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.35387075388105]
Predicted rank: [0], ambiguousness: [[0.6821399  0.31786013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.53681853916586]
Predicted rank: [0], ambiguousness: [[0.83345723 0.1665428 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.58882085976197]
Predicted rank: [0], ambiguousness: [[0.9196084  0.08039159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.73449484646287]
Predicted rank: [0], ambiguousness: [[0.85568595 0.14431404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.82504978411441]
Predicted rank: [0], ambiguousness: [[0.92694575 0.07305425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.86687996034867]
Predicted rank: [0], ambiguousness: [[0.85974956 0.14025041]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.89814786073146]
Predicted rank: [0], ambiguousness: [[0.72479796 0.275202  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.00058846715821]
Predicted rank: [0], ambiguousness: [[0.8865542  0.11344581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.09166201288568]
Predicted rank: [0], ambiguousness: [[0.8154948  0.18450521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.14306829208522]
Predicted rank: [0], ambiguousness: [[0.6998807  0.30011928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.6284087735338]
Predicted rank: [0], ambiguousness: [[0.79488117 0.20511885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.11911614172591]
Predicted rank: [0], ambiguousness: [[0.8197032  0.18029681]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.29630539461644]
Predicted rank: [0], ambiguousness: [[0.8725147  0.12748526]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.44307372099563]
Predicted rank: [0], ambiguousness: [[0.68223274 0.3177673 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.93308211061628]
Predicted rank: [0], ambiguousness: [[0.79239076 0.20760925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.15081431090174]
Predicted rank: [0], ambiguousness: [[0.84060925 0.15939076]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.34201845256595]
Predicted rank: [0], ambiguousness: [[0.7245915 0.2754085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.32427050154965]
Predicted rank: [0], ambiguousness: [[0.7470811 0.2529189]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.52970256668675]
Predicted rank: [0], ambiguousness: [[0.6470205  0.35297948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.61427100647]
Predicted rank: [0], ambiguousness: [[0.66647255 0.33352745]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.65141891898406]
Predicted rank: [0], ambiguousness: [[0.78972024 0.21027976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.22845069745435]
Predicted rank: [0], ambiguousness: [[0.7218667  0.27813324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.56967277619424]
Predicted rank: [0], ambiguousness: [[0.80065995 0.19934006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.62936123584575]
Predicted rank: [0], ambiguousness: [[0.707253 0.292747]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.02594358743411]
Predicted rank: [0], ambiguousness: [[0.83184963 0.16815038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.13335180967107]
Predicted rank: [0], ambiguousness: [[0.7743058  0.22569416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.2689508458995]
Predicted rank: [0], ambiguousness: [[0.7787327  0.22126728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.32332348038682]
Predicted rank: [0], ambiguousness: [[0.86454636 0.13545364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.81061452724462]
Predicted rank: [0], ambiguousness: [[0.7724792  0.22752084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.95123123506114]
Predicted rank: [0], ambiguousness: [[0.69682354 0.30317646]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.14537029766618]
Predicted rank: [0], ambiguousness: [[0.73737824 0.26262176]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.19994009006082]
Predicted rank: [0], ambiguousness: [[0.8790984  0.12090158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.28399861959686]
Predicted rank: [0], ambiguousness: [[0.5728837 0.4271163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.38111633251404]
Predicted rank: [0], ambiguousness: [[0.84889805 0.15110192]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.42647505357237]
Predicted rank: [0], ambiguousness: [[0.6425183 0.3574817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.70737353481263]
Predicted rank: [0], ambiguousness: [[0.69149125 0.30850872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.74151787062053]
Predicted rank: [0], ambiguousness: [[0.60369235 0.39630765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.0277649008226]
Predicted rank: [0], ambiguousness: [[0.7231885  0.27681145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.1053728707258]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.389200645561]
Predicted rank: [0], ambiguousness: [[0.7765189  0.22348112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.51786950152322]
Predicted rank: [0], ambiguousness: [[0.89646477 0.10353522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.5953730745139]
Predicted rank: [0], ambiguousness: [[0.8019663  0.19803368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.96753770855634]
Predicted rank: [0], ambiguousness: [[0.6520335 0.3479665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.10466248878538]
Predicted rank: [0], ambiguousness: [[0.86298853 0.13701145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.24684705238653]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.35492944461876]
Predicted rank: [0], ambiguousness: [[0.6322421  0.36775792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.08323869673876]
Predicted rank: [0], ambiguousness: [[0.6101237 0.3898763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.21897355571556]
Predicted rank: [0], ambiguousness: [[0.84026206 0.15973791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.36273393463125]
Predicted rank: [0], ambiguousness: [[0.7992245  0.20077547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.54725769904029]
Predicted rank: [0], ambiguousness: [[0.79692316 0.20307682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.69901095411666]
Predicted rank: [0], ambiguousness: [[0.63471365 0.36528635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.91294477291456]
Predicted rank: [0], ambiguousness: [[0.6436455 0.3563545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.74710667032775]
Predicted rank: [0], ambiguousness: [[0.6539897 0.3460103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.0816358181084]
Predicted rank: [0], ambiguousness: [[0.63869494 0.36130506]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.37350132698944]
Predicted rank: [0], ambiguousness: [[0.7737597 0.2262403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.6204046826932]
Predicted rank: [0], ambiguousness: [[0.7635151  0.23648486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.7438422583532]
Predicted rank: [0], ambiguousness: [[0.67743635 0.32256368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.83902842734014]
Predicted rank: [0], ambiguousness: [[0.7448641 0.2551359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.1599962889796]
Predicted rank: [0], ambiguousness: [[0.5724025  0.42759752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.79417561914909]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.21101877057993]
Predicted rank: [0], ambiguousness: [[0.78779614 0.21220389]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.45975254090155]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.58390834213789]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.67941287844313]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.99924115665345]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.70106972329944]
Predicted rank: [0], ambiguousness: [[0.6607231 0.3392769]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.98950657845539]
Predicted rank: [0], ambiguousness: [[0.75446784 0.24553218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.67873689278562]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.87388574410755]
Predicted rank: [0], ambiguousness: [[0.69411224 0.30588776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.99914154411161]
Predicted rank: [0], ambiguousness: [[0.7592928  0.24070722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.22990118827235]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.93025315033478]
Predicted rank: [0], ambiguousness: [[0.8075127  0.19248728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.17950738722057]
Predicted rank: [0], ambiguousness: [[0.8407049  0.15929508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.29744225685647]
Predicted rank: [0], ambiguousness: [[0.88564235 0.11435766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.57865936059245]
Predicted rank: [0], ambiguousness: [[0.74082834 0.25917166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.38486003100695]
Predicted rank: [0], ambiguousness: [[0.7639286 0.2360714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.54194224103662]
Predicted rank: [0], ambiguousness: [[0.81723285 0.18276715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.82831297125034]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.64671390301558]
Predicted rank: [0], ambiguousness: [[0.7146442  0.28535578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.94019084084005]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.99844576000243]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.02568042940928]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.30750998486005]
Predicted rank: [0], ambiguousness: [[0.6330616 0.3669384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.66353812651798]
Predicted rank: [0], ambiguousness: [[0.75532407 0.24467592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.39722540190698]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.59827443202732]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.72594136173493]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.9493306626262]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.78061435949044]
Predicted rank: [0], ambiguousness: [[0.81770086 0.18229915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.03163530875977]
Predicted rank: [0], ambiguousness: [[0.84530103 0.15469897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.15002163687619]
Predicted rank: [0], ambiguousness: [[0.8953201  0.10467987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.4298794277188]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.23866679309589]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.3963535929812]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.68144469164056]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.50180071459641]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.79406326024653]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.8525857369635]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.87992878130927]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.66885610077424]
Predicted rank: [0], ambiguousness: [[0.67352486 0.32647517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.33416239137803]
Predicted rank: [0], ambiguousness: [[0.75470865 0.24529132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.28626194982368]
Predicted rank: [0], ambiguousness: [[0.780548 0.219452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.49896678130335]
Predicted rank: [0], ambiguousness: [[0.6982185  0.30178148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.63062517564661]
Predicted rank: [0], ambiguousness: [[0.7470021  0.25299785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.84507831743062]
Predicted rank: [0], ambiguousness: [[0.56100374 0.43899626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.29833123150891]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.7334085425222]
Predicted rank: [0], ambiguousness: [[0.8144219 0.1855781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.90457738607901]
Predicted rank: [0], ambiguousness: [[0.86558837 0.13441162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.0545192990727]
Predicted rank: [0], ambiguousness: [[0.70387083 0.29612917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.37766095056976]
Predicted rank: [0], ambiguousness: [[0.7639286 0.2360714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.59580623201475]
Predicted rank: [0], ambiguousness: [[0.81723285 0.18276715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.77844670842799]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.76833589869076]
Predicted rank: [0], ambiguousness: [[0.7146442  0.28535578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.96504904533812]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.04994292417187]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.08750753291913]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.64045812616177]
Predicted rank: [0], ambiguousness: [[0.72991323 0.27008674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.85234905394421]
Predicted rank: [0], ambiguousness: [[0.83043015 0.16956985]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.08055700844761]
Predicted rank: [0], ambiguousness: [[0.7722804 0.2277196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.08201408100993]
Predicted rank: [0], ambiguousness: [[0.8511931  0.14880696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.33211615879642]
Predicted rank: [0], ambiguousness: [[0.816992   0.18300802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.41295526509603]
Predicted rank: [0], ambiguousness: [[0.8471415  0.15285853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.44781050886436]
Predicted rank: [0], ambiguousness: [[0.89691895 0.10308104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.27967309170447]
Predicted rank: [0], ambiguousness: [[0.7472024  0.25279763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.52640005099784]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.65684867499994]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.6965591217065]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.72797794710519]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.80225208931572]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.82665972389944]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.27803155463195]
Predicted rank: [0], ambiguousness: [[0.6386349  0.36136505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.85121807489946]
Predicted rank: [0], ambiguousness: [[0.72281396 0.27718604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.92732847848478]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.15049759990673]
Predicted rank: [0], ambiguousness: [[0.6720969 0.3279031]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.28624841092504]
Predicted rank: [0], ambiguousness: [[0.7234306  0.27656943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.48924607858207]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.99590439879172]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.44866267920086]
Predicted rank: [0], ambiguousness: [[0.81961364 0.18038636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.62425248567453]
Predicted rank: [0], ambiguousness: [[0.8767271 0.1232729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.76346698435799]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.13531745519003]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.35809111192668]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.53270421646098]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.5359215656599]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.72514836162128]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.812056507183]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.85040458482825]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.52819223650968]
Predicted rank: [0], ambiguousness: [[0.7486081  0.25139186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.74105450209947]
Predicted rank: [0], ambiguousness: [[0.8519859  0.14801411]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.96772356720432]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.97234639905327]
Predicted rank: [0], ambiguousness: [[0.86518294 0.13481708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.22108564723926]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.30230163785427]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.33729905739338]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.1715632184374]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.41697158426697]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.54798975789873]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.5878503272649]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.61972953769234]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.6942365593123]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.71883099890006]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.29465615115322]
Predicted rank: [0], ambiguousness: [[0.74770534 0.2522947 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.28609494981436]
Predicted rank: [0], ambiguousness: [[0.7887582  0.21124178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.49930875159242]
Predicted rank: [0], ambiguousness: [[0.70835805 0.29164195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.63117994046002]
Predicted rank: [0], ambiguousness: [[0.7715023  0.22849767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.84522101368188]
Predicted rank: [0], ambiguousness: [[0.6000856 0.3999144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.54725451525374]
Predicted rank: [0], ambiguousness: [[0.77899235 0.22100765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.0858826109596]
Predicted rank: [0], ambiguousness: [[0.8064283 0.1935717]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.27577918280082]
Predicted rank: [0], ambiguousness: [[0.8487633 0.1512367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.38854960682183]
Predicted rank: [0], ambiguousness: [[0.65156627 0.34843373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.0002502930204]
Predicted rank: [0], ambiguousness: [[0.7657908  0.23420916]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.23232783882779]
Predicted rank: [0], ambiguousness: [[0.80573523 0.19426478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.3957337516693]
Predicted rank: [0], ambiguousness: [[0.71811223 0.28188777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.42160870649785]
Predicted rank: [0], ambiguousness: [[0.70338356 0.2966164 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.60081904986768]
Predicted rank: [0], ambiguousness: [[0.6521823  0.34781772]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.69164117818798]
Predicted rank: [0], ambiguousness: [[0.6398022 0.3601978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.73127812313643]
Predicted rank: [0], ambiguousness: [[0.8076086  0.19239137]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.89602066418544]
Predicted rank: [0], ambiguousness: [[0.69011223 0.30988774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.21961336894313]
Predicted rank: [0], ambiguousness: [[0.7896572  0.21034284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.28604485220411]
Predicted rank: [0], ambiguousness: [[0.7364687  0.26353136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.62943426187667]
Predicted rank: [0], ambiguousness: [[0.8184933 0.1815067]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.73816929327532]
Predicted rank: [0], ambiguousness: [[0.77873045 0.22126955]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.8685031017742]
Predicted rank: [0], ambiguousness: [[0.8137463  0.18625371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.92149221538949]
Predicted rank: [0], ambiguousness: [[0.87276536 0.12723464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.27036574879145]
Predicted rank: [0], ambiguousness: [[0.7454874 0.2545126]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.40166246363361]
Predicted rank: [0], ambiguousness: [[0.71563643 0.28436357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.5958190779315]
Predicted rank: [0], ambiguousness: [[0.77963376 0.22036625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.6509219343593]
Predicted rank: [0], ambiguousness: [[0.88913906 0.11086097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.73309106418324]
Predicted rank: [0], ambiguousness: [[0.66774744 0.33225256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.83126697390105]
Predicted rank: [0], ambiguousness: [[0.85434914 0.14565083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.8765846483046]
Predicted rank: [0], ambiguousness: [[0.68969893 0.31030107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.5386901230896]
Predicted rank: [0], ambiguousness: [[0.7098242  0.29017577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.71722970221813]
Predicted rank: [0], ambiguousness: [[0.67759943 0.3224006 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.90750415622956]
Predicted rank: [0], ambiguousness: [[0.79486454 0.20513546]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.96142702493597]
Predicted rank: [0], ambiguousness: [[0.9060606  0.09393943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.11645645479611]
Predicted rank: [0], ambiguousness: [[0.82232535 0.17767462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.20987983507338]
Predicted rank: [0], ambiguousness: [[0.92366564 0.07633434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.25394482619025]
Predicted rank: [0], ambiguousness: [[0.8459951  0.15400489]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.29332205865379]
Predicted rank: [0], ambiguousness: [[0.68252444 0.31747556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.39880512048286]
Predicted rank: [0], ambiguousness: [[0.88347286 0.11652712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.49356449869725]
Predicted rank: [0], ambiguousness: [[0.7986914 0.2013086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.54886139221546]
Predicted rank: [0], ambiguousness: [[0.67326903 0.32673094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.02749891494123]
Predicted rank: [0], ambiguousness: [[0.7311856  0.26881438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.12106158189098]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.34051494882817]
Predicted rank: [0], ambiguousness: [[0.6773795 0.3226205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.47477761657831]
Predicted rank: [0], ambiguousness: [[0.74481475 0.25518528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.6825983483912]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.29995434957777]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.86825274827618]
Predicted rank: [0], ambiguousness: [[0.7883288  0.21167119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.06401782274915]
Predicted rank: [0], ambiguousness: [[0.8338065 0.1661935]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.16466572657012]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.86172746042405]
Predicted rank: [0], ambiguousness: [[0.74509275 0.25490728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.09856318727162]
Predicted rank: [0], ambiguousness: [[0.78758806 0.21241195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.25507879449506]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.29340211165314]
Predicted rank: [0], ambiguousness: [[0.67947865 0.32052138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.46629915259123]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.55916246827655]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.59953807093414]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.80263736187965]
Predicted rank: [0], ambiguousness: [[0.7123292 0.2876708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.13109252639335]
Predicted rank: [0], ambiguousness: [[0.8166034 0.1833966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.19116513003618]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.54981264515038]
Predicted rank: [0], ambiguousness: [[0.8421805  0.15781948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.65320306821282]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.78559664526983]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.83932002782508]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.21423135688619]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.34166580836495]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.53810880588208]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.59375224013431]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.67790860825784]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.77690849259591]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.82297668943741]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.55790115481325]
Predicted rank: [0], ambiguousness: [[0.73347664 0.26652336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.73678295257736]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.92702162493596]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.98091832271807]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.1359763891579]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.22934942131987]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.27339333439849]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.31250534673893]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.41794435097822]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.51268291517174]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.56797744231646]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.66566436713202]
Predicted rank: [0], ambiguousness: [[0.769097   0.23090304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.20852850979067]
Predicted rank: [0], ambiguousness: [[0.80035186 0.19964816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.39823139494564]
Predicted rank: [0], ambiguousness: [[0.8547056  0.14529443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.51284093461115]
Predicted rank: [0], ambiguousness: [[0.68466437 0.31533563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.14161209008293]
Predicted rank: [0], ambiguousness: [[0.76638544 0.23361453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.37211891363359]
Predicted rank: [0], ambiguousness: [[0.8192662 0.1807338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.53872924484021]
Predicted rank: [0], ambiguousness: [[0.7408567 0.2591433]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.55955249990046]
Predicted rank: [0], ambiguousness: [[0.7174243 0.2825757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.74178524430252]
Predicted rank: [0], ambiguousness: [[0.6657537  0.33424628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.83191835301776]
Predicted rank: [0], ambiguousness: [[0.6846765 0.3153235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.87127518653293]
Predicted rank: [0], ambiguousness: [[0.8106601  0.18933988]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.25875176890995]
Predicted rank: [0], ambiguousness: [[0.6920783 0.3079217]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.6270169711947]
Predicted rank: [0], ambiguousness: [[0.77669984 0.22330016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 100.64763083190707]
Predicted rank: [0], ambiguousness: [[0.71604204 0.28395796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.1311008964057]
Predicted rank: [0], ambiguousness: [[0.807264 0.192736]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.20480761831794]
Predicted rank: [0], ambiguousness: [[0.7671525  0.23284751]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.35150965119232]
Predicted rank: [0], ambiguousness: [[0.76714694 0.23285304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.40994059392983]
Predicted rank: [0], ambiguousness: [[0.861099   0.13890098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.02648804654096]
Predicted rank: [0], ambiguousness: [[0.74620557 0.25379446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.14008911677894]
Predicted rank: [0], ambiguousness: [[0.7057954  0.29420456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.34716730302]
Predicted rank: [0], ambiguousness: [[0.7455882  0.25441185]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.40498694063491]
Predicted rank: [0], ambiguousness: [[0.88842416 0.11157585]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.49916640084362]
Predicted rank: [0], ambiguousness: [[0.5833302 0.4166698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.60136039549946]
Predicted rank: [0], ambiguousness: [[0.8601828 0.1398172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.65090508375872]
Predicted rank: [0], ambiguousness: [[0.66215146 0.33784854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.87978923125561]
Predicted rank: [0], ambiguousness: [[0.65829754 0.34170246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.8803790142073]
Predicted rank: [0], ambiguousness: [[0.62338656 0.37661344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.18582015628101]
Predicted rank: [0], ambiguousness: [[0.73950684 0.26049316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.26825614259383]
Predicted rank: [0], ambiguousness: [[0.8836689 0.1163311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.57846163515059]
Predicted rank: [0], ambiguousness: [[0.7847168 0.2152832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.71425550471832]
Predicted rank: [0], ambiguousness: [[0.90503055 0.09496947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.79805035118133]
Predicted rank: [0], ambiguousness: [[0.8122528  0.18774718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.22345820911212]
Predicted rank: [0], ambiguousness: [[0.67063606 0.32936397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.36725115453066]
Predicted rank: [0], ambiguousness: [[0.87776166 0.12223835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.51853932420161]
Predicted rank: [0], ambiguousness: [[0.7898134  0.21018657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.63665729157339]
Predicted rank: [0], ambiguousness: [[0.6612061 0.3387939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.52047287562809]
Predicted rank: [0], ambiguousness: [[0.62969434 0.37030566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.66058439675857]
Predicted rank: [0], ambiguousness: [[0.8570798  0.14292018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.81040441539565]
Predicted rank: [0], ambiguousness: [[0.81880623 0.18119377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.00543531417375]
Predicted rank: [0], ambiguousness: [[0.8113492 0.1886508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.1693204504646]
Predicted rank: [0], ambiguousness: [[0.66358656 0.33641344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.34574196630615]
Predicted rank: [0], ambiguousness: [[0.78033334 0.21966667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.86138711356251]
Predicted rank: [0], ambiguousness: [[0.7879451 0.2120549]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.04339834648295]
Predicted rank: [0], ambiguousness: [[0.8575831  0.14241688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.18004879750939]
Predicted rank: [0], ambiguousness: [[0.702021 0.297979]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.74206617017852]
Predicted rank: [0], ambiguousness: [[0.74119675 0.25880325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.96352786391967]
Predicted rank: [0], ambiguousness: [[0.8199298 0.1800702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.14903425774143]
Predicted rank: [0], ambiguousness: [[0.7527249 0.2472751]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.14126226991316]
Predicted rank: [0], ambiguousness: [[0.71833324 0.2816668 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.34143807974921]
Predicted rank: [0], ambiguousness: [[0.6482855  0.35171452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.42761140376473]
Predicted rank: [0], ambiguousness: [[0.698069 0.301931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.46534950827095]
Predicted rank: [0], ambiguousness: [[0.8221138 0.1778862]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.97329344712199]
Predicted rank: [0], ambiguousness: [[0.66939116 0.33060881]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.3244938893654]
Predicted rank: [0], ambiguousness: [[0.78286123 0.21713877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.3723733885929]
Predicted rank: [0], ambiguousness: [[0.74399096 0.25600904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.80040833824111]
Predicted rank: [0], ambiguousness: [[0.8064623  0.19353768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.89824918552736]
Predicted rank: [0], ambiguousness: [[0.76743835 0.23256163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.03776574932431]
Predicted rank: [0], ambiguousness: [[0.78467965 0.21532033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.09349472157942]
Predicted rank: [0], ambiguousness: [[0.8742404 0.1257596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.63745886139327]
Predicted rank: [0], ambiguousness: [[0.7529407 0.2470593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.7719619218213]
Predicted rank: [0], ambiguousness: [[0.70612776 0.29387224]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.96982243708143]
Predicted rank: [0], ambiguousness: [[0.77155674 0.22844325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.02524359102364]
Predicted rank: [0], ambiguousness: [[0.9029381  0.09706184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.11249299294737]
Predicted rank: [0], ambiguousness: [[0.61736125 0.38263875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.21090626921443]
Predicted rank: [0], ambiguousness: [[0.86200786 0.13799213]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.25748268335445]
Predicted rank: [0], ambiguousness: [[0.6701312  0.32986882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.55600733754852]
Predicted rank: [0], ambiguousness: [[0.70512855 0.29487148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.58385338485917]
Predicted rank: [0], ambiguousness: [[0.6556492  0.34435079]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.87433806215904]
Predicted rank: [0], ambiguousness: [[0.80508614 0.19491385]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.95297284722862]
Predicted rank: [0], ambiguousness: [[0.9106518 0.0893482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.24331314184636]
Predicted rank: [0], ambiguousness: [[0.83549106 0.16450897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.37345179411639]
Predicted rank: [0], ambiguousness: [[0.91606736 0.08393267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.45235129857237]
Predicted rank: [0], ambiguousness: [[0.8365547 0.1634453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.8407531630319]
Predicted rank: [0], ambiguousness: [[0.7375375  0.26246247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.97909366725946]
Predicted rank: [0], ambiguousness: [[0.8933168 0.1066832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.12306541503824]
Predicted rank: [0], ambiguousness: [[0.8250493  0.17495073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.23323329827383]
Predicted rank: [0], ambiguousness: [[0.7133175  0.28668252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.01502484577315]
Predicted rank: [0], ambiguousness: [[0.70120686 0.29879314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.15101564638718]
Predicted rank: [0], ambiguousness: [[0.87489164 0.12510838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.29517379990975]
Predicted rank: [0], ambiguousness: [[0.8501041  0.14989589]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.4804403432777]
Predicted rank: [0], ambiguousness: [[0.8378938  0.16210622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.63285696120398]
Predicted rank: [0], ambiguousness: [[0.70132524 0.29867476]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.14348493954445]
Predicted rank: [0], ambiguousness: [[0.6790056  0.32099438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.48899492782961]
Predicted rank: [0], ambiguousness: [[0.7809861  0.21901396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.54473383052245]
Predicted rank: [0], ambiguousness: [[0.7255719 0.2744281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.95532402924553]
Predicted rank: [0], ambiguousness: [[0.810726   0.18927403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.05994411619201]
Predicted rank: [0], ambiguousness: [[0.76903313 0.23096685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.1970041483217]
Predicted rank: [0], ambiguousness: [[0.8051997  0.19480032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.25185201060023]
Predicted rank: [0], ambiguousness: [[0.8613392  0.13866077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.77087302301032]
Predicted rank: [0], ambiguousness: [[0.7470901  0.25290993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.91092199880352]
Predicted rank: [0], ambiguousness: [[0.71654713 0.28345284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.10554940674196]
Predicted rank: [0], ambiguousness: [[0.78040236 0.21959762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.16021504441798]
Predicted rank: [0], ambiguousness: [[0.88520825 0.11479172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.24461188407739]
Predicted rank: [0], ambiguousness: [[0.6687405 0.3312595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.34187948414936]
Predicted rank: [0], ambiguousness: [[0.84939384 0.15060614]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.38739870947214]
Predicted rank: [0], ambiguousness: [[0.681232   0.31876802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.00493128035708]
Predicted rank: [0], ambiguousness: [[0.6664285 0.3335715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.99067269784405]
Predicted rank: [0], ambiguousness: [[0.630043   0.36995694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.3200695713829]
Predicted rank: [0], ambiguousness: [[0.7173624  0.28263763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.40688487850716]
Predicted rank: [0], ambiguousness: [[0.88624847 0.11375152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.77139684568502]
Predicted rank: [0], ambiguousness: [[0.7235822 0.2764178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.91196830664084]
Predicted rank: [0], ambiguousness: [[0.91409326 0.08590676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.00192190057903]
Predicted rank: [0], ambiguousness: [[0.7901176  0.20988238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.59089074598175]
Predicted rank: [0], ambiguousness: [[0.66355646 0.33644357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.73479102869456]
Predicted rank: [0], ambiguousness: [[0.88611466 0.11388535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.88812531385076]
Predicted rank: [0], ambiguousness: [[0.7739159  0.22608414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.00959917219676]
Predicted rank: [0], ambiguousness: [[0.599213 0.400787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.28522765580064]
Predicted rank: [0], ambiguousness: [[0.58131504 0.41868496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.48495779060319]
Predicted rank: [0], ambiguousness: [[0.82415575 0.17584427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.7236679076092]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.07318901079199]
Predicted rank: [0], ambiguousness: [[0.7707086 0.2292914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.64885141864818]
Predicted rank: [0], ambiguousness: [[0.6496073  0.35039267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.77489169551208]
Predicted rank: [0], ambiguousness: [[0.6075812 0.3924188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.22027735247535]
Predicted rank: [0], ambiguousness: [[0.5548293 0.4451707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.13051574191536]
Predicted rank: [0], ambiguousness: [[0.58273673 0.4172633 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.04562194476092]
Predicted rank: [0], ambiguousness: [[0.5663806  0.43361938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.84802686130837]
Predicted rank: [0], ambiguousness: [[0.72893596 0.27106407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.01186603395024]
Predicted rank: [0], ambiguousness: [[0.7144898  0.28551018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.09674717963006]
Predicted rank: [0], ambiguousness: [[0.65957296 0.340427  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.1646158801471]
Predicted rank: [0], ambiguousness: [[0.6832614 0.3167386]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.66129953377049]
Predicted rank: [0], ambiguousness: [[0.5564678  0.44353226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.89099109753576]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.75890839249382]
Predicted rank: [0], ambiguousness: [[0.7388525 0.2611475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.92372063331129]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.00898174377267]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.07701823609352]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.57311060751144]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.81138508610519]
Predicted rank: [0], ambiguousness: [[0.5689955  0.43100455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.32208442127093]
Predicted rank: [0], ambiguousness: [[0.700757   0.29924297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.76491195975105]
Predicted rank: [0], ambiguousness: [[0.7238111 0.2761889]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.89562111274446]
Predicted rank: [0], ambiguousness: [[0.6698587  0.33014128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.98265337052142]
Predicted rank: [0], ambiguousness: [[0.69316435 0.30683562]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.4227760095267]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.53517367379018]
Predicted rank: [0], ambiguousness: [[0.75913167 0.24086834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.70529316731438]
Predicted rank: [0], ambiguousness: [[0.81776965 0.18223032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.78875488992838]
Predicted rank: [0], ambiguousness: [[0.85373604 0.14626396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.25865941851042]
Predicted rank: [0], ambiguousness: [[0.7421725 0.2578275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.8393095353006]
Predicted rank: [0], ambiguousness: [[0.71247125 0.28752872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.95069255099276]
Predicted rank: [0], ambiguousness: [[0.77060086 0.22939913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.42338328224038]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.02196578232392]
Predicted rank: [0], ambiguousness: [[0.67683196 0.323168  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.49930358661247]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.5397632285111]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.55884141895551]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.59883849089364]
Predicted rank: [0], ambiguousness: [[0.5390725  0.46092752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.14546560809708]
Predicted rank: [0], ambiguousness: [[0.7017266  0.29827338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.61151719025315]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.74531610730921]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.83360655562748]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.2699441932599]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.45091334796035]
Predicted rank: [0], ambiguousness: [[0.7711548 0.2288452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.62196713008893]
Predicted rank: [0], ambiguousness: [[0.82288814 0.17711188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.7056669731856]
Predicted rank: [0], ambiguousness: [[0.86570454 0.13429545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.17486615702268]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.75687700626531]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.86857870859556]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.34060560094852]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.94020947137236]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.41691763752293]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.4575186567671]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.47665432176842]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.78701499679991]
Predicted rank: [0], ambiguousness: [[0.5963597 0.4036403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.91948311789773]
Predicted rank: [0], ambiguousness: [[0.67292666 0.3270733 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.52054464497891]
Predicted rank: [0], ambiguousness: [[0.7166583 0.2833417]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.6618308265977]
Predicted rank: [0], ambiguousness: [[0.6741377 0.3258623]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.75270285056746]
Predicted rank: [0], ambiguousness: [[0.66683906 0.33316094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.18319996017124]
Predicted rank: [0], ambiguousness: [[0.5449819 0.4550181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.84885860425065]
Predicted rank: [0], ambiguousness: [[0.7238111 0.2761889]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.13645817668097]
Predicted rank: [0], ambiguousness: [[0.7886538 0.2113462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.25369364388965]
Predicted rank: [0], ambiguousness: [[0.82916623 0.17083378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.64160360896517]
Predicted rank: [0], ambiguousness: [[0.7053304  0.29466963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.54707369215507]
Predicted rank: [0], ambiguousness: [[0.71247125 0.28752872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.6973660773302]
Predicted rank: [0], ambiguousness: [[0.77060086 0.22939913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.10505315960509]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.81194854593716]
Predicted rank: [0], ambiguousness: [[0.67683196 0.323168  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.22868610960913]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.28615149950846]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.31183890367095]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.32159287015381]
Predicted rank: [0], ambiguousness: [[0.6742036  0.32579643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.47018445143144]
Predicted rank: [0], ambiguousness: [[0.7862848 0.2137152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.90385299558835]
Predicted rank: [0], ambiguousness: [[0.76068    0.23931997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.62602832867002]
Predicted rank: [0], ambiguousness: [[0.8307186  0.16928141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.0742132654177]
Predicted rank: [0], ambiguousness: [[0.81252134 0.18747868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.13014884045253]
Predicted rank: [0], ambiguousness: [[0.8466122  0.15338778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.15445372715857]
Predicted rank: [0], ambiguousness: [[0.8971751  0.10282492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.75430176416567]
Predicted rank: [0], ambiguousness: [[0.67915595 0.32084405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.19932383583217]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.29040630843537]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.31829790486029]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.33682336070643]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.38959537934089]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.40536387605376]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.57120635681873]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.6555582914062]
Predicted rank: [0], ambiguousness: [[0.6355334 0.3644666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.3220014506086]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.46881344811594]
Predicted rank: [0], ambiguousness: [[0.64698553 0.35301447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.56183855465856]
Predicted rank: [0], ambiguousness: [[0.639404 0.360596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.98640332248692]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.68075849714097]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.97769327099459]
Predicted rank: [0], ambiguousness: [[0.7943844 0.2056156]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.09726074124788]
Predicted rank: [0], ambiguousness: [[0.842775   0.15722498]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.47960503240316]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.41071148030888]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.56344669921603]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.96696497678906]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.68083795059377]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.09369009529732]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.15222057811087]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.1783233102795]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.25416656740312]
Predicted rank: [0], ambiguousness: [[0.69514406 0.30485597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.40327746026335]
Predicted rank: [0], ambiguousness: [[0.81218314 0.18781687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.83613625505751]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.55999374900338]
Predicted rank: [0], ambiguousness: [[0.84628576 0.15371425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.00746192466039]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.06359943856927]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.08798070999129]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.68910861017983]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.13343746748798]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.22482432798148]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.25279651512602]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.27156923164557]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.32446575796304]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.34033482322343]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.8867158333503]
Predicted rank: [0], ambiguousness: [[0.6931169  0.30688307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.51070177543806]
Predicted rank: [0], ambiguousness: [[0.7371974 0.2628026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.65230486851354]
Predicted rank: [0], ambiguousness: [[0.684721   0.31527904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.7433083688022]
Predicted rank: [0], ambiguousness: [[0.7074357  0.29256427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.17354684179327]
Predicted rank: [0], ambiguousness: [[0.58443356 0.41556647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.3837246586934]
Predicted rank: [0], ambiguousness: [[0.71481526 0.28518477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.73364067214948]
Predicted rank: [0], ambiguousness: [[0.77985024 0.22014977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.86212678391608]
Predicted rank: [0], ambiguousness: [[0.7877486  0.21225144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.22808492499269]
Predicted rank: [0], ambiguousness: [[0.65315664 0.34684336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.30703854617414]
Predicted rank: [0], ambiguousness: [[0.7145878  0.28541222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.46570308804968]
Predicted rank: [0], ambiguousness: [[0.7467997  0.25320032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.86201268079253]
Predicted rank: [0], ambiguousness: [[0.7048072  0.29519278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.59040131731103]
Predicted rank: [0], ambiguousness: [[0.6072861  0.39271387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.99679269583069]
Predicted rank: [0], ambiguousness: [[0.63733697 0.36266306]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.0578237675038]
Predicted rank: [0], ambiguousness: [[0.6247325  0.37526754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.08476091344076]
Predicted rank: [0], ambiguousness: [[0.79664975 0.20335026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.55817556983979]
Predicted rank: [0], ambiguousness: [[0.6303506 0.3696494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.77752138850846]
Predicted rank: [0], ambiguousness: [[0.738243   0.26175702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.1102634429609]
Predicted rank: [0], ambiguousness: [[0.7236967  0.27630332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.04728389726745]
Predicted rank: [0], ambiguousness: [[0.79460543 0.20539457]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.40727199385783]
Predicted rank: [0], ambiguousness: [[0.7735841  0.22641586]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.49464089349118]
Predicted rank: [0], ambiguousness: [[0.8131269  0.18687311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.53048149882727]
Predicted rank: [0], ambiguousness: [[0.873073   0.12692702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.45494571421082]
Predicted rank: [0], ambiguousness: [[0.6771788 0.3228212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.8277254420055]
Predicted rank: [0], ambiguousness: [[0.702263 0.297737]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.95939213773966]
Predicted rank: [0], ambiguousness: [[0.7682955  0.23170446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.99711847809861]
Predicted rank: [0], ambiguousness: [[0.8821465  0.11785349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.04810510438092]
Predicted rank: [0], ambiguousness: [[0.65321314 0.34678683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.11609593392427]
Predicted rank: [0], ambiguousness: [[0.8455435  0.15445651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.14526875502415]
Predicted rank: [0], ambiguousness: [[0.6756585  0.32434148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.23210692658384]
Predicted rank: [0], ambiguousness: [[0.6366097 0.3633903]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.63151087539704]
Predicted rank: [0], ambiguousness: [[0.6632788 0.3367212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.76312399454758]
Predicted rank: [0], ambiguousness: [[0.78409296 0.21590702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.80070968684737]
Predicted rank: [0], ambiguousness: [[0.9000154  0.09998461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.90264351803866]
Predicted rank: [0], ambiguousness: [[0.817956   0.18204404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.96850149184239]
Predicted rank: [0], ambiguousness: [[0.9212436  0.07875638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.99776550602766]
Predicted rank: [0], ambiguousness: [[0.8454626  0.15453736]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.01489870335905]
Predicted rank: [0], ambiguousness: [[0.66831553 0.3316845 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.08958200837776]
Predicted rank: [0], ambiguousness: [[0.8761728  0.12382724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.15466959815447]
Predicted rank: [0], ambiguousness: [[0.7880673  0.21193273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.18947570978628]
Predicted rank: [0], ambiguousness: [[0.65885293 0.34114707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.72174561181504]
Predicted rank: [0], ambiguousness: [[0.6640131 0.3359869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.4031117723234]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.54832100561435]
Predicted rank: [0], ambiguousness: [[0.64156157 0.35843843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.64070790387228]
Predicted rank: [0], ambiguousness: [[0.6658684 0.3341316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.06735939956357]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.22939768211566]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.59617787796113]
Predicted rank: [0], ambiguousness: [[0.7600052  0.23999482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.72802021490781]
Predicted rank: [0], ambiguousness: [[0.76840407 0.23159592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.08710149250136]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.21437864140336]
Predicted rank: [0], ambiguousness: [[0.6911894  0.30881062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.37579695509083]
Predicted rank: [0], ambiguousness: [[0.7250259 0.2749741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.76812614010439]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.50371908481212]
Predicted rank: [0], ambiguousness: [[0.5802581  0.41974193]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.90645983281553]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.96867464367446]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.99604303051868]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.49039571069629]
Predicted rank: [0], ambiguousness: [[0.65470827 0.3452917 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.71262460300804]
Predicted rank: [0], ambiguousness: [[0.76985604 0.23014395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.04160628789145]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.9876374947593]
Predicted rank: [0], ambiguousness: [[0.8207272  0.17927276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.34445396150315]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.43304666807325]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.46932556263252]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.4089814223068]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.77942848359439]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.91246839735324]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.95052281439125]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.00269930087757]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.07118958386704]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.10081541919291]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.2298280324865]
Predicted rank: [0], ambiguousness: [[0.66339993 0.33660007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.62926588628099]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.76093572393374]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.79852646272246]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.90058081280435]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.9664395103342]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.99571501493753]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.01279486812906]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.08748381872024]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.15259748667161]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.18744494928112]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.4262390904801]
Predicted rank: [0], ambiguousness: [[0.7144743  0.28552565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.77973242871884]
Predicted rank: [0], ambiguousness: [[0.77317417 0.2268258 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.90836500551985]
Predicted rank: [0], ambiguousness: [[0.8159614  0.18403858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.27475657900001]
Predicted rank: [0], ambiguousness: [[0.6861764 0.3138236]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.36668470690262]
Predicted rank: [0], ambiguousness: [[0.7152641  0.28473592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.52469536003977]
Predicted rank: [0], ambiguousness: [[0.77300894 0.22699109]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.92238192476006]
Predicted rank: [0], ambiguousness: [[0.7282189  0.27178106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.64860927366962]
Predicted rank: [0], ambiguousness: [[0.6798154  0.32018462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.05630181309854]
Predicted rank: [0], ambiguousness: [[0.6511778  0.34882218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.1170442572378]
Predicted rank: [0], ambiguousness: [[0.6705174  0.32948261]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.14386149669416]
Predicted rank: [0], ambiguousness: [[0.799832   0.20016803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.14122770959807]
Predicted rank: [0], ambiguousness: [[0.63249385 0.36750618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.38805440134952]
Predicted rank: [0], ambiguousness: [[0.71210307 0.28789693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.69289287621349]
Predicted rank: [0], ambiguousness: [[0.70267975 0.29732025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.71576766217515]
Predicted rank: [0], ambiguousness: [[0.7220156  0.27798438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.05437212237428]
Predicted rank: [0], ambiguousness: [[0.76181924 0.23818076]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.15184282351436]
Predicted rank: [0], ambiguousness: [[0.76641715 0.23358285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.19105077151647]
Predicted rank: [0], ambiguousness: [[0.8614304  0.13856962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.27970299492429]
Predicted rank: [0], ambiguousness: [[0.66590285 0.33409712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.6414769070015]
Predicted rank: [0], ambiguousness: [[0.6921582  0.30784175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.78119359479187]
Predicted rank: [0], ambiguousness: [[0.73309803 0.266902  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.82062807007372]
Predicted rank: [0], ambiguousness: [[0.88139254 0.11860744]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.87911480759243]
Predicted rank: [0], ambiguousness: [[0.567495   0.43250504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.94962790132789]
Predicted rank: [0], ambiguousness: [[0.8516686 0.1483314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.98144518782293]
Predicted rank: [0], ambiguousness: [[0.64750165 0.35249835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.50173733896698]
Predicted rank: [0], ambiguousness: [[0.57977873 0.42022127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.7894929458949]
Predicted rank: [0], ambiguousness: [[0.6080508 0.3919492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.99451334964313]
Predicted rank: [0], ambiguousness: [[0.7268275 0.2731725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.05032233859772]
Predicted rank: [0], ambiguousness: [[0.8763794  0.12362064]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.25088987411641]
Predicted rank: [0], ambiguousness: [[0.7796703  0.22032969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.34376531409708]
Predicted rank: [0], ambiguousness: [[0.90207994 0.09792008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.39850500357798]
Predicted rank: [0], ambiguousness: [[0.81162965 0.18837035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.65957781739618]
Predicted rank: [0], ambiguousness: [[0.6561631 0.3438369]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.7588048778246]
Predicted rank: [0], ambiguousness: [[0.8701563 0.1298437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.86019814670509]
Predicted rank: [0], ambiguousness: [[0.7788505  0.22114952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.93547146176786]
Predicted rank: [0], ambiguousness: [[0.6465372  0.35346285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.4546888100636]
Predicted rank: [0], ambiguousness: [[0.61445653 0.38554344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.55299935538932]
Predicted rank: [0], ambiguousness: [[0.8484099  0.15159008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.655557533052]
Predicted rank: [0], ambiguousness: [[0.80898976 0.19101024]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.78499205691607]
Predicted rank: [0], ambiguousness: [[0.8067733  0.19322672]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.88805429997427]
Predicted rank: [0], ambiguousness: [[0.64896595 0.35103402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.76539218919505]
Predicted rank: [0], ambiguousness: [[0.7178595  0.28214052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.10626131072422]
Predicted rank: [0], ambiguousness: [[0.75076056 0.24923944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.23120646293697]
Predicted rank: [0], ambiguousness: [[0.8122732  0.18772678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.60820568724705]
Predicted rank: [0], ambiguousness: [[0.70348585 0.29651415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.66994836404189]
Predicted rank: [0], ambiguousness: [[0.67645717 0.32354283]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.82351363217458]
Predicted rank: [0], ambiguousness: [[0.7653306  0.23466937]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.23046365172411]
Predicted rank: [0], ambiguousness: [[0.74046314 0.25953686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.94265871221016]
Predicted rank: [0], ambiguousness: [[0.6703291 0.3296709]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.35915168588645]
Predicted rank: [0], ambiguousness: [[0.6333673  0.36663267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.4179414013126]
Predicted rank: [0], ambiguousness: [[0.68423396 0.31576604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.44395378903543]
Predicted rank: [0], ambiguousness: [[0.81178856 0.18821141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.49963280747653]
Predicted rank: [0], ambiguousness: [[0.60790384 0.3920962 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.73825101224625]
Predicted rank: [0], ambiguousness: [[0.7194029 0.2805971]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.05623330051763]
Predicted rank: [0], ambiguousness: [[0.7314506  0.26854938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.05256864432138]
Predicted rank: [0], ambiguousness: [[0.72098196 0.27901804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.40285163234063]
Predicted rank: [0], ambiguousness: [[0.76210964 0.23789036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.49684245136012]
Predicted rank: [0], ambiguousness: [[0.7839893  0.21601072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.53473229480781]
Predicted rank: [0], ambiguousness: [[0.874545   0.12545502]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.58941888034911]
Predicted rank: [0], ambiguousness: [[0.67383766 0.32616237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.96143493740965]
Predicted rank: [0], ambiguousness: [[0.6924993  0.30750072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.09661885959301]
Predicted rank: [0], ambiguousness: [[0.75993097 0.240069  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.1348620918356]
Predicted rank: [0], ambiguousness: [[0.8967149  0.10328507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.18994648275081]
Predicted rank: [0], ambiguousness: [[0.60193676 0.39806324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.2585868851611]
Predicted rank: [0], ambiguousness: [[0.85358584 0.14641413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.28893442890026]
Predicted rank: [0], ambiguousness: [[0.6556474  0.34435257]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.84642442525286]
Predicted rank: [0], ambiguousness: [[0.63134456 0.36865544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.14761926180383]
Predicted rank: [0], ambiguousness: [[0.64087033 0.35912967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.3451829330302]
Predicted rank: [0], ambiguousness: [[0.7947127  0.20528726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.39908814629833]
Predicted rank: [0], ambiguousness: [[0.90487105 0.09512895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.58978142225735]
Predicted rank: [0], ambiguousness: [[0.831379   0.16862099]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.67983142344966]
Predicted rank: [0], ambiguousness: [[0.9134268  0.08657318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.73211564273979]
Predicted rank: [0], ambiguousness: [[0.8359959  0.16400409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.97501849732255]
Predicted rank: [0], ambiguousness: [[0.72479796 0.275202  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.07150953315187]
Predicted rank: [0], ambiguousness: [[0.8865542  0.11344581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.1692299695702]
Predicted rank: [0], ambiguousness: [[0.8154948  0.18450521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.24050508774977]
Predicted rank: [0], ambiguousness: [[0.6998807  0.30011928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.71018393948104]
Predicted rank: [0], ambiguousness: [[0.6874512  0.31254882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.80638407391018]
Predicted rank: [0], ambiguousness: [[0.86713475 0.13286525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.90603733160876]
Predicted rank: [0], ambiguousness: [[0.8416554  0.15834466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.0304618280654]
Predicted rank: [0], ambiguousness: [[0.8338299  0.16617014]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.12760381162211]
Predicted rank: [0], ambiguousness: [[0.6875726 0.3124274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.59657493972833]
Predicted rank: [0], ambiguousness: [[0.6069585  0.39304152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.83203300176115]
Predicted rank: [0], ambiguousness: [[0.7186309  0.28136912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.15436188372945]
Predicted rank: [0], ambiguousness: [[0.71247804 0.287522  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.14109388429841]
Predicted rank: [0], ambiguousness: [[0.77794605 0.22205395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.49514024050782]
Predicted rank: [0], ambiguousness: [[0.76372975 0.23627025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.58775414155104]
Predicted rank: [0], ambiguousness: [[0.80455875 0.19544125]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.62514805803085]
Predicted rank: [0], ambiguousness: [[0.8616701  0.13832991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.66638705952191]
Predicted rank: [0], ambiguousness: [[0.6685344  0.33146563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.04152994453827]
Predicted rank: [0], ambiguousness: [[0.7031988 0.2968012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.17486438493631]
Predicted rank: [0], ambiguousness: [[0.7690921 0.2309079]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.21267342316713]
Predicted rank: [0], ambiguousness: [[0.87800187 0.12199812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.26611481995366]
Predicted rank: [0], ambiguousness: [[0.6542272 0.3457728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.33409930092]
Predicted rank: [0], ambiguousness: [[0.84034455 0.15965542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.36383864625637]
Predicted rank: [0], ambiguousness: [[0.6669935  0.33300653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.49233455052834]
Predicted rank: [0], ambiguousness: [[0.57525176 0.42474824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.76743501613844]
Predicted rank: [0], ambiguousness: [[0.61481094 0.3851891 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.98949941234521]
Predicted rank: [0], ambiguousness: [[0.7040366  0.29596344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.04857016028305]
Predicted rank: [0], ambiguousness: [[0.8790984  0.12090158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.2860085607119]
Predicted rank: [0], ambiguousness: [[0.71761835 0.28238165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.38263277154387]
Predicted rank: [0], ambiguousness: [[0.9113966  0.08860335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.44191488132358]
Predicted rank: [0], ambiguousness: [[0.78944004 0.21055996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.81135340625717]
Predicted rank: [0], ambiguousness: [[0.6489352  0.35106477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.91136836631688]
Predicted rank: [0], ambiguousness: [[0.87895733 0.12104268]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.01502494098048]
Predicted rank: [0], ambiguousness: [[0.76237315 0.23762685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.09350249701666]
Predicted rank: [0], ambiguousness: [[0.5835505 0.4164495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.92029587577913]
Predicted rank: [0], ambiguousness: [[0.5654603 0.4345397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.05790978455113]
Predicted rank: [0], ambiguousness: [[0.8139222  0.18607777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.21914393354412]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.45028458084411]
Predicted rank: [0], ambiguousness: [[0.7654319  0.23456812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.82149458595984]
Predicted rank: [0], ambiguousness: [[0.63471365 0.36528635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.52778639785691]
Predicted rank: [0], ambiguousness: [[0.5920231  0.40797693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.22010314127883]
Predicted rank: [0], ambiguousness: [[0.59926456 0.40073544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.12964970966472]
Predicted rank: [0], ambiguousness: [[0.5960686  0.40393138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.04475591251028]
Predicted rank: [0], ambiguousness: [[0.5798583  0.42014167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.84716082905774]
Predicted rank: [0], ambiguousness: [[0.72561544 0.27438456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.01100000169959]
Predicted rank: [0], ambiguousness: [[0.72559434 0.27440566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.0958811473794]
Predicted rank: [0], ambiguousness: [[0.67183244 0.32816756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.16374984789644]
Predicted rank: [0], ambiguousness: [[0.69506216 0.30493784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.66043350151983]
Predicted rank: [0], ambiguousness: [[0.5700197 0.4299803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.88786693490405]
Predicted rank: [0], ambiguousness: [[0.59840876 0.40159124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.75578422986214]
Predicted rank: [0], ambiguousness: [[0.7284645 0.2715355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.9205964706796]
Predicted rank: [0], ambiguousness: [[0.7405888  0.25941125]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.00585758114097]
Predicted rank: [0], ambiguousness: [[0.69492227 0.30507773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.07389407346183]
Predicted rank: [0], ambiguousness: [[0.7301149  0.26988512]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.56998644487973]
Predicted rank: [0], ambiguousness: [[0.5992477 0.4007523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.80826092347351]
Predicted rank: [0], ambiguousness: [[0.57356733 0.42643267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.31896025863924]
Predicted rank: [0], ambiguousness: [[0.68949056 0.31050944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.76178779711935]
Predicted rank: [0], ambiguousness: [[0.72752714 0.27247286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.89249695011277]
Predicted rank: [0], ambiguousness: [[0.6739737 0.3260263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.97952920788971]
Predicted rank: [0], ambiguousness: [[0.6971202 0.3028798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.419651846895]
Predicted rank: [0], ambiguousness: [[0.5724025  0.42759752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.53204951115848]
Predicted rank: [0], ambiguousness: [[0.76252836 0.23747163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.70216900468267]
Predicted rank: [0], ambiguousness: [[0.8152931  0.18470691]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.78563072729669]
Predicted rank: [0], ambiguousness: [[0.8484038 0.1515962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.25553525587873]
Predicted rank: [0], ambiguousness: [[0.7318686  0.26813135]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.8361853726689]
Predicted rank: [0], ambiguousness: [[0.7162801  0.28371993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.94756838836108]
Predicted rank: [0], ambiguousness: [[0.773884   0.22611599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.4202591196087]
Predicted rank: [0], ambiguousness: [[0.7292062 0.2707938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.01884161969221]
Predicted rank: [0], ambiguousness: [[0.68090147 0.31909853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.49617942398078]
Predicted rank: [0], ambiguousness: [[0.6523113  0.34768867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.5366390658794]
Predicted rank: [0], ambiguousness: [[0.6716198  0.32838026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.55571725632382]
Predicted rank: [0], ambiguousness: [[0.8067372 0.1932628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.58940277525285]
Predicted rank: [0], ambiguousness: [[0.5551325 0.4448675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.13609132327463]
Predicted rank: [0], ambiguousness: [[0.7002568 0.2997432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.60216963664621]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.73597169257408]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.82426339219447]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.26059733611626]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.44164024434076]
Predicted rank: [0], ambiguousness: [[0.7823927  0.21760733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.61269455021647]
Predicted rank: [0], ambiguousness: [[0.8271642  0.17283584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.69639452550811]
Predicted rank: [0], ambiguousness: [[0.86617833 0.13382165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.16559332539475]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.74760489452186]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.8593067767138]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.33133330634277]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.93093773930295]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.40764556189464]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.44824666101069]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.4673823580105]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.77789133346727]
Predicted rank: [0], ambiguousness: [[0.6118609  0.38813913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.91035945456508]
Predicted rank: [0], ambiguousness: [[0.6713814 0.3286186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.51142098164624]
Predicted rank: [0], ambiguousness: [[0.7296341 0.2703659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.65270716326505]
Predicted rank: [0], ambiguousness: [[0.6882136  0.31178638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.74357918723481]
Predicted rank: [0], ambiguousness: [[0.68108106 0.31891894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.17407629683858]
Predicted rank: [0], ambiguousness: [[0.56100374 0.43899626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.83973494091799]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.12733451334833]
Predicted rank: [0], ambiguousness: [[0.79354894 0.20645104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.244569980557]
Predicted rank: [0], ambiguousness: [[0.8297435  0.17025647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.63247994563253]
Predicted rank: [0], ambiguousness: [[0.70387083 0.29612917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.53795002882242]
Predicted rank: [0], ambiguousness: [[0.7255653  0.27443466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.68824241399754]
Predicted rank: [0], ambiguousness: [[0.7818582  0.21814178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.09592949627245]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.80282488260451]
Predicted rank: [0], ambiguousness: [[0.69084483 0.30915517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.2195624462765]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.27702783617582]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.30271524033829]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.31246920682115]
Predicted rank: [0], ambiguousness: [[0.6882779 0.3117221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.46106078809879]
Predicted rank: [0], ambiguousness: [[0.7969753  0.20302469]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.89472933225571]
Predicted rank: [0], ambiguousness: [[0.7722804 0.2277196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.61690466533736]
Predicted rank: [0], ambiguousness: [[0.8348435  0.16515645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.06508960208504]
Predicted rank: [0], ambiguousness: [[0.816992   0.18300802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.12102517711989]
Predicted rank: [0], ambiguousness: [[0.8471415  0.15285853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.1453300638259]
Predicted rank: [0], ambiguousness: [[0.89691895 0.10308104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.74517810083304]
Predicted rank: [0], ambiguousness: [[0.6931137 0.3068863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.19020017249952]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.2812826451027]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.30917424152763]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.32769969737379]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.38047171600826]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.3962402127211]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.53800975044135]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.62055747923063]
Predicted rank: [0], ambiguousness: [[0.63390756 0.36609244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.28979587384777]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.43684679089355]
Predicted rank: [0], ambiguousness: [[0.6616456 0.3383544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.5299650549128]
Predicted rank: [0], ambiguousness: [[0.6542107  0.34578934]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.95427143307039]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.64987038299194]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.94720773627586]
Predicted rank: [0], ambiguousness: [[0.7991807  0.20081931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.06687546007336]
Predicted rank: [0], ambiguousness: [[0.84331506 0.15668495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.44897884847862]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.38118631726913]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.53402638071856]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.93736358702841]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.6515380961371]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.06422129081645]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.12279751140773]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.14891812268736]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.22749792768215]
Predicted rank: [0], ambiguousness: [[0.7087046  0.29129538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.3766349426086]
Predicted rank: [0], ambiguousness: [[0.8218716 0.1781284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.80945122577188]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.53339461936088]
Predicted rank: [0], ambiguousness: [[0.8500998  0.14990018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.98082489339569]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.03697272349234]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.0613579329981]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.66255389714829]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.1068461651762]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.1982483642242]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.22622468534263]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.2450095850786]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.29791253413592]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.31378665418399]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.8619862405557]
Predicted rank: [0], ambiguousness: [[0.7028813  0.29711872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.48647165647672]
Predicted rank: [0], ambiguousness: [[0.75125796 0.24874206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.62812405537836]
Predicted rank: [0], ambiguousness: [[0.7004483 0.2995517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.71914752242512]
Predicted rank: [0], ambiguousness: [[0.7224892  0.27751082]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.14932686495683]
Predicted rank: [0], ambiguousness: [[0.60225755 0.39774245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.35888680545429]
Predicted rank: [0], ambiguousness: [[0.7296341 0.2703659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.70899198640583]
Predicted rank: [0], ambiguousness: [[0.793762   0.20623797]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.83752017050756]
Predicted rank: [0], ambiguousness: [[0.79719025 0.20280974]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.20338183914959]
Predicted rank: [0], ambiguousness: [[0.66357523 0.33642477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.282847701156]
Predicted rank: [0], ambiguousness: [[0.729414   0.27058598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.44155262304213]
Predicted rank: [0], ambiguousness: [[0.7605134  0.23948659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.83779469693303]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.56629714907092]
Predicted rank: [0], ambiguousness: [[0.6247593  0.37524068]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.97262565214655]
Predicted rank: [0], ambiguousness: [[0.65423435 0.34576565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.03367427278874]
Predicted rank: [0], ambiguousness: [[0.6418872 0.3581128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.06061810913025]
Predicted rank: [0], ambiguousness: [[0.80901223 0.19098775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.53403325839571]
Predicted rank: [0], ambiguousness: [[0.6473934 0.3526066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.75343196133875]
Predicted rank: [0], ambiguousness: [[0.75226635 0.24773364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.08609702551163]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.02328461080161]
Predicted rank: [0], ambiguousness: [[0.8078146  0.19218543]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.38320568424271]
Predicted rank: [0], ambiguousness: [[0.7877841  0.21221593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.47059714122739]
Predicted rank: [0], ambiguousness: [[0.82169527 0.17830475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.50644605938005]
Predicted rank: [0], ambiguousness: [[0.8785714  0.12142864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.43114842254352]
Predicted rank: [0], ambiguousness: [[0.6931137 0.3068863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.80387256694709]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.93556742030913]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.97330083808973]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.02431041710537]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.09231218346821]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.12149426923239]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.20890856796893]
Predicted rank: [0], ambiguousness: [[0.6535226  0.34647742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.60828748073581]
Predicted rank: [0], ambiguousness: [[0.6795752 0.3204248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.73991426968504]
Predicted rank: [0], ambiguousness: [[0.79633766 0.20366235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.77750332633713]
Predicted rank: [0], ambiguousness: [[0.90682876 0.09317122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.87945659232685]
Predicted rank: [0], ambiguousness: [[0.82998466 0.1700153 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.9453193631719]
Predicted rank: [0], ambiguousness: [[0.92734236 0.07265767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.97458748716954]
Predicted rank: [0], ambiguousness: [[0.8528167 0.1471833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.991736182541]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.0664245669665]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.13151884417746]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.1663327935525]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.55240102433818]
Predicted rank: [0], ambiguousness: [[0.66244686 0.33755317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.26146760514952]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.40895796893709]
Predicted rank: [0], ambiguousness: [[0.65632725 0.34367278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.50226336451183]
Predicted rank: [0], ambiguousness: [[0.6801319  0.31986806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.92623974477661]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.06170812692031]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.43759831592055]
Predicted rank: [0], ambiguousness: [[0.76536655 0.23463346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.57141142274756]
Predicted rank: [0], ambiguousness: [[0.7691296  0.23087044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.92605054042573]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.07841975586422]
Predicted rank: [0], ambiguousness: [[0.70485115 0.29514882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.24165807705963]
Predicted rank: [0], ambiguousness: [[0.7377587 0.2622413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.6309841090931]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.371670083028]
Predicted rank: [0], ambiguousness: [[0.5959587  0.40404132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.7716179684183]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.83462161336345]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.8622897140753]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.359296501823]
Predicted rank: [0], ambiguousness: [[0.6692116  0.33078837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.58382891006994]
Predicted rank: [0], ambiguousness: [[0.7811396  0.21886042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.9094772062424]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.86282333498585]
Predicted rank: [0], ambiguousness: [[0.8250444  0.17495564]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.21674773607987]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.30632183161248]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.34296205438422]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.29341238003069]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.66150126452608]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.79573634057158]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.83409130552013]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.88724279306122]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.95619772588324]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.98621551513322]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.14120384633938]
Predicted rank: [0], ambiguousness: [[0.6777179  0.32228208]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.53967345658393]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.67184849785721]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.70956631251173]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.81231985508047]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.87836206400307]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.90779042517323]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.92544788130283]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.00033107845806]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.06569385687426]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.10082590447325]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.31655724425505]
Predicted rank: [0], ambiguousness: [[0.73814917 0.26185083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.67466635246527]
Predicted rank: [0], ambiguousness: [[0.7875598  0.21244021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.80433486047008]
Predicted rank: [0], ambiguousness: [[0.82457227 0.17542775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.16827395961212]
Predicted rank: [0], ambiguousness: [[0.6962757  0.30372426]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.272628936322]
Predicted rank: [0], ambiguousness: [[0.7388973  0.26110268]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.43163872941724]
Predicted rank: [0], ambiguousness: [[0.7932348  0.20676516]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.82756649263409]
Predicted rank: [0], ambiguousness: [[0.751151   0.24884899]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.55668334488934]
Predicted rank: [0], ambiguousness: [[0.70517814 0.29482186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.96272988554611]
Predicted rank: [0], ambiguousness: [[0.67773366 0.32226634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.02390748051062]
Predicted rank: [0], ambiguousness: [[0.69628763 0.3037124 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.05089381811266]
Predicted rank: [0], ambiguousness: [[0.8188595  0.18114047]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.03186518256413]
Predicted rank: [0], ambiguousness: [[0.64975345 0.35024652]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.28096038939236]
Predicted rank: [0], ambiguousness: [[0.7272363  0.27276373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.5827890879628]
Predicted rank: [0], ambiguousness: [[0.71811223 0.28188777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.61284262872144]
Predicted rank: [0], ambiguousness: [[0.72993803 0.27006194]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.94890101544597]
Predicted rank: [0], ambiguousness: [[0.7689703 0.2310297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.04729299838789]
Predicted rank: [0], ambiguousness: [[0.7689648  0.23103517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.08683188159168]
Predicted rank: [0], ambiguousness: [[0.86231506 0.13768496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.18683455201709]
Predicted rank: [0], ambiguousness: [[0.68238145 0.31761855]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.54667371840344]
Predicted rank: [0], ambiguousness: [[0.7079098  0.29209015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.68741148032638]
Predicted rank: [0], ambiguousness: [[0.7475189  0.25248113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.72709605409361]
Predicted rank: [0], ambiguousness: [[0.88943166 0.11056832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.78642727794478]
Predicted rank: [0], ambiguousness: [[0.5858083  0.41419175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.85732507713732]
Predicted rank: [0], ambiguousness: [[0.86140555 0.13859443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.88947710551844]
Predicted rank: [0], ambiguousness: [[0.6644304 0.3355696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.40720446639136]
Predicted rank: [0], ambiguousness: [[0.60850227 0.3914977 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.69259915481192]
Predicted rank: [0], ambiguousness: [[0.63605493 0.36394507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.89908276137514]
Predicted rank: [0], ambiguousness: [[0.7498367  0.25016335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.95525483640125]
Predicted rank: [0], ambiguousness: [[0.88913906 0.11086097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.15792729697094]
Predicted rank: [0], ambiguousness: [[0.79375386 0.20624617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.25132994428115]
Predicted rank: [0], ambiguousness: [[0.90959895 0.09040108]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.30655223174912]
Predicted rank: [0], ambiguousness: [[0.8203985  0.17960148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.57213255594826]
Predicted rank: [0], ambiguousness: [[0.68252444 0.31747556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.67183682330946]
Predicted rank: [0], ambiguousness: [[0.88347286 0.11652712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.77390220016554]
Predicted rank: [0], ambiguousness: [[0.7986914 0.2013086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.8499434492592]
Predicted rank: [0], ambiguousness: [[0.67326903 0.32673094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.38288217295295]
Predicted rank: [0], ambiguousness: [[0.6422723 0.3577277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.48145492289801]
Predicted rank: [0], ambiguousness: [[0.8636072  0.13639277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.58439101010856]
Predicted rank: [0], ambiguousness: [[0.8267283  0.17327172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.71451350533872]
Predicted rank: [0], ambiguousness: [[0.8195254 0.1804746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.81836109927718]
Predicted rank: [0], ambiguousness: [[0.67560637 0.32439366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.1242780284492]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.50401714687588]
Predicted rank: [0], ambiguousness: [[0.7643677  0.23563233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.63774330150588]
Predicted rank: [0], ambiguousness: [[0.8044174  0.19558266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.99360208711924]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.16122011460007]
Predicted rank: [0], ambiguousness: [[0.69990385 0.30009615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.3232013103607]
Predicted rank: [0], ambiguousness: [[0.7597173  0.24028271]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.71490746780913]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.45168910863835]
Predicted rank: [0], ambiguousness: [[0.66344273 0.3365573 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.85386720089012]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.91632090658032]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.94376946345264]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 103.86704616827049]
Predicted rank: [0], ambiguousness: [[0.6238378 0.3761622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.12446821160363]
Predicted rank: [0], ambiguousness: [[0.70444596 0.29555407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.41695858999678]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.47306199954292]
Predicted rank: [0], ambiguousness: [[0.7072826 0.2927174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.80166318217569]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.9033023757923]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.9439555209322]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.09272484083665]
Predicted rank: [0], ambiguousness: [[0.6576078  0.34239218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.44808365716118]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.59176581965653]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.63211114406894]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.69401450663756]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.76590907112023]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.79903107319382]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.33792016351464]
Predicted rank: [0], ambiguousness: [[0.6361805 0.3638195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.61902289194177]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.82859336141698]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.88550797394657]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.09306613259704]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.18751998395933]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.24376744225938]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.52225217460537]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.62278844566045]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.72611110594289]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.80364335800581]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.38061919863102]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.47921147689641]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.582208480216]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.71246409976023]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.81626618879463]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.07320156803861]
Predicted rank: [0], ambiguousness: [[0.6367698  0.36323026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.32335444773605]
Predicted rank: [0], ambiguousness: [[0.7435508  0.25644925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.62519562377616]
Predicted rank: [0], ambiguousness: [[0.72919124 0.27080876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.65890575260963]
Predicted rank: [0], ambiguousness: [[0.79337066 0.20662935]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.99540210972602]
Predicted rank: [0], ambiguousness: [[0.77225924 0.2277408 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.09400232526397]
Predicted rank: [0], ambiguousness: [[0.80804664 0.19195335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.13357732375064]
Predicted rank: [0], ambiguousness: [[0.8685801  0.13141987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.24687788869659]
Predicted rank: [0], ambiguousness: [[0.69601434 0.30398566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.60823152773398]
Predicted rank: [0], ambiguousness: [[0.72023964 0.27976036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.74831689363637]
Predicted rank: [0], ambiguousness: [[0.7835143  0.21648566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.78782384732929]
Predicted rank: [0], ambiguousness: [[0.89136    0.10864003]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.84656766121951]
Predicted rank: [0], ambiguousness: [[0.67277133 0.32722867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.91719377042773]
Predicted rank: [0], ambiguousness: [[0.8571551  0.14284489]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.94913270927398]
Predicted rank: [0], ambiguousness: [[0.69454277 0.30545723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 103.9772342721038]
Predicted rank: [0], ambiguousness: [[0.5962578  0.40374222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.22989418163746]
Predicted rank: [0], ambiguousness: [[0.6249033  0.37509668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.46680088478858]
Predicted rank: [0], ambiguousness: [[0.71288294 0.28711706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.52942637142903]
Predicted rank: [0], ambiguousness: [[0.88842416 0.11157585]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.7897501360865]
Predicted rank: [0], ambiguousness: [[0.7093428  0.29065722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.89141204623766]
Predicted rank: [0], ambiguousness: [[0.912001   0.08799898]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.95539822821112]
Predicted rank: [0], ambiguousness: [[0.78571385 0.21428613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.3776525478189]
Predicted rank: [0], ambiguousness: [[0.65863    0.34136996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.4818748512316]
Predicted rank: [0], ambiguousness: [[0.8882926  0.11170741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.59151497920013]
Predicted rank: [0], ambiguousness: [[0.77770114 0.22229883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.67672185926972]
Predicted rank: [0], ambiguousness: [[0.60442835 0.39557165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.45796886682434]
Predicted rank: [0], ambiguousness: [[0.5857507 0.4142493]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.60172361575769]
Predicted rank: [0], ambiguousness: [[0.8329618  0.16703819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.77193970689457]
Predicted rank: [0], ambiguousness: [[0.7898134  0.21018657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.0192836100903]
Predicted rank: [0], ambiguousness: [[0.7814816  0.21851839]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.42562192822531]
Predicted rank: [0], ambiguousness: [[0.66358656 0.33641344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.22787835486349]
Predicted rank: [0], ambiguousness: [[0.6222621  0.37773785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.42253769973786]
Predicted rank: [0], ambiguousness: [[0.6077161  0.39228395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.66498145197795]
Predicted rank: [0], ambiguousness: [[0.7467134  0.25328663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.97949987102913]
Predicted rank: [0], ambiguousness: [[0.7527249 0.2472751]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.9882897286561]
Predicted rank: [0], ambiguousness: [[0.7893466  0.21065341]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.33612908324253]
Predicted rank: [0], ambiguousness: [[0.7691441  0.23085587]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.43142607967712]
Predicted rank: [0], ambiguousness: [[0.8203937  0.17960635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.4697408346909]
Predicted rank: [0], ambiguousness: [[0.8790824  0.12091761]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.55283496903951]
Predicted rank: [0], ambiguousness: [[0.68678683 0.31321317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.92435125207854]
Predicted rank: [0], ambiguousness: [[0.7043544 0.2956456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.0599731711934]
Predicted rank: [0], ambiguousness: [[0.7939722  0.20602779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.09830251961611]
Predicted rank: [0], ambiguousness: [[0.8985428  0.10145718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.15369318411632]
Predicted rank: [0], ambiguousness: [[0.6864379 0.3135621]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.22246779691727]
Predicted rank: [0], ambiguousness: [[0.8491547  0.15084532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.25295987339769]
Predicted rank: [0], ambiguousness: [[0.6852908 0.3147092]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.34018788126862]
Predicted rank: [0], ambiguousness: [[0.6048651 0.3951349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.60756071113727]
Predicted rank: [0], ambiguousness: [[0.6252786  0.37472144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.83588952426157]
Predicted rank: [0], ambiguousness: [[0.74103034 0.25896966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.89637147724287]
Predicted rank: [0], ambiguousness: [[0.9029381  0.09706184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.14478169816337]
Predicted rank: [0], ambiguousness: [[0.72969425 0.27030578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.24330726918114]
Predicted rank: [0], ambiguousness: [[0.9132179  0.08678209]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.3045131190275]
Predicted rank: [0], ambiguousness: [[0.7848465  0.21515353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.70361799790574]
Predicted rank: [0], ambiguousness: [[0.68978167 0.31021836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.80490278217178]
Predicted rank: [0], ambiguousness: [[0.88979775 0.11020227]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.91054074686069]
Predicted rank: [0], ambiguousness: [[0.7838427  0.21615733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.9913249164567]
Predicted rank: [0], ambiguousness: [[0.6129745  0.38702545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.82506130107753]
Predicted rank: [0], ambiguousness: [[0.66118336 0.33881667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.96414424908235]
Predicted rank: [0], ambiguousness: [[0.8532648  0.14673522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.12763211524933]
Predicted rank: [0], ambiguousness: [[0.8250493  0.17495073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.36318659313943]
Predicted rank: [0], ambiguousness: [[0.8112511  0.18874891]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.7457242494461]
Predicted rank: [0], ambiguousness: [[0.70132524 0.29867476]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.4868853664751]
Predicted rank: [0], ambiguousness: [[0.6622773  0.33772272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.43880616907957]
Predicted rank: [0], ambiguousness: [[0.58463866 0.41536134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.71110854343979]
Predicted rank: [0], ambiguousness: [[0.62313086 0.37686914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.93607266187635]
Predicted rank: [0], ambiguousness: [[0.73929703 0.26070297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.99573991343235]
Predicted rank: [0], ambiguousness: [[0.8789794 0.1210206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.2394093769303]
Predicted rank: [0], ambiguousness: [[0.7845328  0.21546723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.33675310823011]
Predicted rank: [0], ambiguousness: [[0.90110576 0.09889422]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.39681337625518]
Predicted rank: [0], ambiguousness: [[0.80531865 0.19468135]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.78582012200053]
Predicted rank: [0], ambiguousness: [[0.68349427 0.31650573]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.88600086314307]
Predicted rank: [0], ambiguousness: [[0.87936854 0.12063148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.98994117738658]
Predicted rank: [0], ambiguousness: [[0.79230285 0.20769714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.06867853364786]
Predicted rank: [0], ambiguousness: [[0.66457176 0.3354282 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.42183483886812]
Predicted rank: [0], ambiguousness: [[0.57799464 0.42200536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.574292194864]
Predicted rank: [0], ambiguousness: [[0.8438315  0.15616852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.76104868448095]
Predicted rank: [0], ambiguousness: [[0.7739159  0.22608414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.04996040207347]
Predicted rank: [0], ambiguousness: [[0.723522 0.276478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.57714681215465]
Predicted rank: [0], ambiguousness: [[0.66064835 0.33935165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.63784555742069]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Running local search 8
Switching 8 patient(s). Size of neighborhood: 125970
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.4128716514137]
Predicted rank: [0], ambiguousness: [[0.6725421 0.3274579]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.24704281817235]
Predicted rank: [0], ambiguousness: [[0.6904607  0.30953932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.581571965953]
Predicted rank: [0], ambiguousness: [[0.6759794  0.32402065]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.87343747483405]
Predicted rank: [0], ambiguousness: [[0.8031988  0.19680117]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.1203408305378]
Predicted rank: [0], ambiguousness: [[0.7921114  0.20788859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.2437784061978]
Predicted rank: [0], ambiguousness: [[0.7125223  0.28747767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.33896457518475]
Predicted rank: [0], ambiguousness: [[0.77505136 0.22494867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.65993243682419]
Predicted rank: [0], ambiguousness: [[0.5564678  0.44353226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.29411286949279]
Predicted rank: [0], ambiguousness: [[0.7067548  0.29324523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.71095602092365]
Predicted rank: [0], ambiguousness: [[0.8158435  0.18415648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.95968979124527]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.0838455924816]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.17935012878684]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.49917840699717]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.20100697364313]
Predicted rank: [0], ambiguousness: [[0.69681346 0.30318657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.4894438287991]
Predicted rank: [0], ambiguousness: [[0.7857221  0.21427791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.17867414312933]
Predicted rank: [0], ambiguousness: [[0.8045691  0.19543085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.37382299445127]
Predicted rank: [0], ambiguousness: [[0.72811234 0.27188763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.49907879445533]
Predicted rank: [0], ambiguousness: [[0.7882581  0.21174191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.72983843861607]
Predicted rank: [0], ambiguousness: [[0.5678276  0.43217245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.43019040067847]
Predicted rank: [0], ambiguousness: [[0.8319596  0.16804036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.67944463756427]
Predicted rank: [0], ambiguousness: [[0.85858566 0.14141434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.79737950720019]
Predicted rank: [0], ambiguousness: [[0.90137833 0.09862169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.07859661093616]
Predicted rank: [0], ambiguousness: [[0.7421725 0.2578275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.88479728135064]
Predicted rank: [0], ambiguousness: [[0.79248846 0.20751151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.04187949138031]
Predicted rank: [0], ambiguousness: [[0.8406888  0.15931118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.32825022159406]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.14665115335929]
Predicted rank: [0], ambiguousness: [[0.74719334 0.25280663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.44012809118377]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.49838301034615]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.525617679753]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.80744723520375]
Predicted rank: [0], ambiguousness: [[0.67062753 0.32937247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.16347537686167]
Predicted rank: [0], ambiguousness: [[0.7865002  0.21349978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.8971626522507]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.09821168237102]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.22587861207865]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.4492679129699]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.28055160983416]
Predicted rank: [0], ambiguousness: [[0.84110844 0.15889159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.53157255910347]
Predicted rank: [0], ambiguousness: [[0.8627501 0.1372499]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.6499588872199]
Predicted rank: [0], ambiguousness: [[0.90985996 0.09014004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.92981667806252]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.73860404343961]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.89629084332489]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.18138194198427]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.00173796494013]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.29400051059024]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.35252298730722]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.37986603165297]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.16879335111794]
Predicted rank: [0], ambiguousness: [[0.7088534  0.29114658]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.83409964172174]
Predicted rank: [0], ambiguousness: [[0.785941   0.21405897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.7861992001674]
Predicted rank: [0], ambiguousness: [[0.8076036  0.19239639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.99890403164704]
Predicted rank: [0], ambiguousness: [[0.7319385 0.2680615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.13056242599032]
Predicted rank: [0], ambiguousness: [[0.77701205 0.22298793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.34501556777431]
Predicted rank: [0], ambiguousness: [[0.5449819 0.4550181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.7982684818526]
Predicted rank: [0], ambiguousness: [[0.8045691  0.19543085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.23334579286589]
Predicted rank: [0], ambiguousness: [[0.83467275 0.16532727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.40451463642273]
Predicted rank: [0], ambiguousness: [[0.8837215  0.11627852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.55445654941641]
Predicted rank: [0], ambiguousness: [[0.7053304  0.29466963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.87759820091347]
Predicted rank: [0], ambiguousness: [[0.79248846 0.20751151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.09574348235847]
Predicted rank: [0], ambiguousness: [[0.8406888  0.15931118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.2783839587717]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.26827314903448]
Predicted rank: [0], ambiguousness: [[0.74719334 0.25280663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.46498629568184]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.54988017451558]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.58744478326284]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.14039537650548]
Predicted rank: [0], ambiguousness: [[0.76130253 0.23869748]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.35228630428792]
Predicted rank: [0], ambiguousness: [[0.8524981  0.14750187]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.58049425879133]
Predicted rank: [0], ambiguousness: [[0.76068    0.23931997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.58195133135365]
Predicted rank: [0], ambiguousness: [[0.8680812  0.13191877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.83205340914014]
Predicted rank: [0], ambiguousness: [[0.81252134 0.18747868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.91289251543974]
Predicted rank: [0], ambiguousness: [[0.8466122  0.15338778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.94774775920807]
Predicted rank: [0], ambiguousness: [[0.8971751  0.10282492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.77961034204819]
Predicted rank: [0], ambiguousness: [[0.7771956  0.22280443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.02633730134153]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.15678592534364]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.1964963720502]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.22791519744891]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.30218933965942]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.32659697424316]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.77796880497567]
Predicted rank: [0], ambiguousness: [[0.6759224 0.3240776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.35115532524316]
Predicted rank: [0], ambiguousness: [[0.7567987 0.2432013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.42726572882849]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.65043485025043]
Predicted rank: [0], ambiguousness: [[0.707513   0.29248706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.78618566126875]
Predicted rank: [0], ambiguousness: [[0.75532067 0.24467936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.98918332892578]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.49584164913543]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.94859992954457]
Predicted rank: [0], ambiguousness: [[0.83940965 0.16059034]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.12418973601825]
Predicted rank: [0], ambiguousness: [[0.89354235 0.10645764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.2634042347017]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.63525470553375]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.85802836227039]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.0326414668047]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.03585881600361]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.225085611965]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.31199375752672]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.35034183517196]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.0281294868534]
Predicted rank: [0], ambiguousness: [[0.7784841  0.22151592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.24099175244316]
Predicted rank: [0], ambiguousness: [[0.87168205 0.12831795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.46766081754802]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.47228364939699]
Predicted rank: [0], ambiguousness: [[0.8807059  0.11929409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.72102289758297]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.80223888819799]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.83723630773709]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.6715004687811]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.9169088346107]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.04792700824244]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.0877875776086]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.11966678803606]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.19417380965601]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.21876824924377]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.79459340149694]
Predicted rank: [0], ambiguousness: [[0.7795689  0.22043106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.78603220015806]
Predicted rank: [0], ambiguousness: [[0.81504154 0.18495846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.99924600193613]
Predicted rank: [0], ambiguousness: [[0.7413647  0.25863528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.13111719080372]
Predicted rank: [0], ambiguousness: [[0.7993866  0.20061341]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.3451582640256]
Predicted rank: [0], ambiguousness: [[0.58443356 0.41556647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.04719176559745]
Predicted rank: [0], ambiguousness: [[0.80619216 0.19380787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.58581986130329]
Predicted rank: [0], ambiguousness: [[0.8273665  0.17263351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.77571643314454]
Predicted rank: [0], ambiguousness: [[0.8688223  0.13117774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.88848685716553]
Predicted rank: [0], ambiguousness: [[0.65315664 0.34684336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.5001875433641]
Predicted rank: [0], ambiguousness: [[0.7941861  0.20581387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.73226508917149]
Predicted rank: [0], ambiguousness: [[0.83036053 0.16963947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.89567100201302]
Predicted rank: [0], ambiguousness: [[0.7048072  0.29519278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.92154595684156]
Predicted rank: [0], ambiguousness: [[0.73674405 0.26325598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.1007563002114]
Predicted rank: [0], ambiguousness: [[0.63733697 0.36266306]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.19157842853168]
Predicted rank: [0], ambiguousness: [[0.6247325  0.37526754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.23121537348015]
Predicted rank: [0], ambiguousness: [[0.79664975 0.20335026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.39595791452915]
Predicted rank: [0], ambiguousness: [[0.7243805  0.27561954]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.71955061928682]
Predicted rank: [0], ambiguousness: [[0.8158547  0.18414527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.78598210254782]
Predicted rank: [0], ambiguousness: [[0.7236967  0.27630332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.12937151222039]
Predicted rank: [0], ambiguousness: [[0.838388   0.16161197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.23810654361903]
Predicted rank: [0], ambiguousness: [[0.7735841  0.22641586]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.36844035211791]
Predicted rank: [0], ambiguousness: [[0.8131269  0.18687311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.42142946573321]
Predicted rank: [0], ambiguousness: [[0.873073   0.12692702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.77030299913517]
Predicted rank: [0], ambiguousness: [[0.775623   0.22437698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.90159971397733]
Predicted rank: [0], ambiguousness: [[0.702263 0.297737]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.0957563282752]
Predicted rank: [0], ambiguousness: [[0.7682955  0.23170446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.15085918470302]
Predicted rank: [0], ambiguousness: [[0.8821465  0.11785349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.23302831452695]
Predicted rank: [0], ambiguousness: [[0.65321314 0.34678683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.33120422424474]
Predicted rank: [0], ambiguousness: [[0.8455435  0.15445651]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.37652189864832]
Predicted rank: [0], ambiguousness: [[0.6756585  0.32434148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.03862737343331]
Predicted rank: [0], ambiguousness: [[0.74272525 0.25727478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.21716695256185]
Predicted rank: [0], ambiguousness: [[0.6632788 0.3367212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.40744140657328]
Predicted rank: [0], ambiguousness: [[0.78409296 0.21590702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.46136427527966]
Predicted rank: [0], ambiguousness: [[0.9000154  0.09998461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.61639370513981]
Predicted rank: [0], ambiguousness: [[0.817956   0.18204404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.70981708541709]
Predicted rank: [0], ambiguousness: [[0.9212436  0.07875638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.75388207653396]
Predicted rank: [0], ambiguousness: [[0.8454626  0.15453736]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.7932593089975]
Predicted rank: [0], ambiguousness: [[0.66831553 0.3316845 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.89874237082657]
Predicted rank: [0], ambiguousness: [[0.8761728  0.12382724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.99350174904095]
Predicted rank: [0], ambiguousness: [[0.7880673  0.21193273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.04879864255918]
Predicted rank: [0], ambiguousness: [[0.65885293 0.34114707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.52743616528494]
Predicted rank: [0], ambiguousness: [[0.7644784  0.23552163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.62099883223469]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.84045219917186]
Predicted rank: [0], ambiguousness: [[0.7124691  0.28753093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.974714866922]
Predicted rank: [0], ambiguousness: [[0.77500594 0.22499403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.18253559873492]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.7998915999215]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.36818999861988]
Predicted rank: [0], ambiguousness: [[0.8107654  0.18923461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.56395507309287]
Predicted rank: [0], ambiguousness: [[0.85551155 0.14448847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.66460297691384]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.36166471076776]
Predicted rank: [0], ambiguousness: [[0.775261 0.224739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.59850043761533]
Predicted rank: [0], ambiguousness: [[0.8139826  0.18601741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.75501604483877]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.79333936199683]
Predicted rank: [0], ambiguousness: [[0.7144361 0.2855639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.96623640293494]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.05909971862027]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.09947532127785]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.30257461222334]
Predicted rank: [0], ambiguousness: [[0.74504817 0.2549518 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.63102977673705]
Predicted rank: [0], ambiguousness: [[0.84012437 0.15987563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.6911023803799]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.04974989549407]
Predicted rank: [0], ambiguousness: [[0.85992324 0.14007677]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.15314031855652]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.28553389561355]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.33925727816879]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.71416860722991]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.84160305870866]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.0380460562258]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.09368949047803]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.17784585860156]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.2768457429396]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.32291393978113]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.05783840515696]
Predicted rank: [0], ambiguousness: [[0.76458526 0.23541471]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.23672020292105]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.42695887527967]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.48085557306179]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.63591363950161]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.72928667166357]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.77333058474221]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.81244259708264]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.91788160132192]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.01262016551544]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.06791469266017]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.16560161747572]
Predicted rank: [0], ambiguousness: [[0.7971976  0.20280245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.70846576013437]
Predicted rank: [0], ambiguousness: [[0.82180214 0.17819789]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.89816864528936]
Predicted rank: [0], ambiguousness: [[0.8740933  0.12590669]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.01277818495487]
Predicted rank: [0], ambiguousness: [[0.6861764 0.3138236]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.64154934042664]
Predicted rank: [0], ambiguousness: [[0.794728 0.205272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.8720561639773]
Predicted rank: [0], ambiguousness: [[0.84251153 0.15748847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.03866649518392]
Predicted rank: [0], ambiguousness: [[0.7282189  0.27178106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.05948975024418]
Predicted rank: [0], ambiguousness: [[0.7497674 0.2502326]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.24172249464624]
Predicted rank: [0], ambiguousness: [[0.6511778  0.34882218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.33185560336148]
Predicted rank: [0], ambiguousness: [[0.6705174  0.32948261]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.37121243687665]
Predicted rank: [0], ambiguousness: [[0.799832   0.20016803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.75868901925365]
Predicted rank: [0], ambiguousness: [[0.7262153 0.2737847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.12695422153841]
Predicted rank: [0], ambiguousness: [[0.8041108  0.19588916]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.14756808225079]
Predicted rank: [0], ambiguousness: [[0.70267975 0.29732025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.6310381467494]
Predicted rank: [0], ambiguousness: [[0.828131   0.17186898]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.70474486866166]
Predicted rank: [0], ambiguousness: [[0.76181924 0.23818076]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.85144690153604]
Predicted rank: [0], ambiguousness: [[0.76641715 0.23358285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.90987784427355]
Predicted rank: [0], ambiguousness: [[0.8614304  0.13856962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.52642529688468]
Predicted rank: [0], ambiguousness: [[0.77628165 0.22371836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.64002636712263]
Predicted rank: [0], ambiguousness: [[0.6921582  0.30784175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.8471045533637]
Predicted rank: [0], ambiguousness: [[0.73309803 0.266902  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.90492419097862]
Predicted rank: [0], ambiguousness: [[0.88139254 0.11860744]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.99910365118734]
Predicted rank: [0], ambiguousness: [[0.567495   0.43250504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.10129764584318]
Predicted rank: [0], ambiguousness: [[0.8516686 0.1483314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.1508423341024]
Predicted rank: [0], ambiguousness: [[0.64750165 0.35249835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.3797264815993]
Predicted rank: [0], ambiguousness: [[0.69452655 0.30547342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.38031626455103]
Predicted rank: [0], ambiguousness: [[0.6080508 0.3919492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.68575740662473]
Predicted rank: [0], ambiguousness: [[0.7268275 0.2731725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.76819339293753]
Predicted rank: [0], ambiguousness: [[0.8763794  0.12362064]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.0783988854943]
Predicted rank: [0], ambiguousness: [[0.7796703  0.22032969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.21419275506203]
Predicted rank: [0], ambiguousness: [[0.90207994 0.09792008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.29798760152504]
Predicted rank: [0], ambiguousness: [[0.81162965 0.18837035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.72339545945584]
Predicted rank: [0], ambiguousness: [[0.6561631 0.3438369]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.86718840487437]
Predicted rank: [0], ambiguousness: [[0.8701563 0.1298437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.01847657454532]
Predicted rank: [0], ambiguousness: [[0.7788505  0.22114952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.13659454191708]
Predicted rank: [0], ambiguousness: [[0.6465372  0.35346285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.02041012597178]
Predicted rank: [0], ambiguousness: [[0.61445653 0.38554344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.16052164710229]
Predicted rank: [0], ambiguousness: [[0.8484099  0.15159008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.31034166573937]
Predicted rank: [0], ambiguousness: [[0.80898976 0.19101024]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.50537256451747]
Predicted rank: [0], ambiguousness: [[0.8067733  0.19322672]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.66925770080832]
Predicted rank: [0], ambiguousness: [[0.64896595 0.35103402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.84567921664987]
Predicted rank: [0], ambiguousness: [[0.8074089  0.19259106]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.36132436390622]
Predicted rank: [0], ambiguousness: [[0.8104126 0.1895874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.54333559682667]
Predicted rank: [0], ambiguousness: [[0.8766423  0.12335771]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.6799860478531]
Predicted rank: [0], ambiguousness: [[0.70348585 0.29651415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.24200342052222]
Predicted rank: [0], ambiguousness: [[0.7716849  0.22831514]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.46346511426337]
Predicted rank: [0], ambiguousness: [[0.8431061 0.1568939]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.64897150808514]
Predicted rank: [0], ambiguousness: [[0.74046314 0.25953686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.64119952025686]
Predicted rank: [0], ambiguousness: [[0.75060844 0.24939159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.84137533009292]
Predicted rank: [0], ambiguousness: [[0.6333673  0.36663267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.92754865410843]
Predicted rank: [0], ambiguousness: [[0.68423396 0.31576604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.96528675861467]
Predicted rank: [0], ambiguousness: [[0.81178856 0.18821141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.47323069746571]
Predicted rank: [0], ambiguousness: [[0.70497113 0.29502887]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.8244311397091]
Predicted rank: [0], ambiguousness: [[0.8097012  0.19029881]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.87231063893661]
Predicted rank: [0], ambiguousness: [[0.7314506  0.26854938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.30034558858482]
Predicted rank: [0], ambiguousness: [[0.82739764 0.17260237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.39818643587108]
Predicted rank: [0], ambiguousness: [[0.76210964 0.23789036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.537702999668]
Predicted rank: [0], ambiguousness: [[0.7839893  0.21601072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.59343197192312]
Predicted rank: [0], ambiguousness: [[0.874545   0.12545502]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.13739611173699]
Predicted rank: [0], ambiguousness: [[0.78245133 0.21754865]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.271899172165]
Predicted rank: [0], ambiguousness: [[0.6924993  0.30750072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.46975968742512]
Predicted rank: [0], ambiguousness: [[0.75993097 0.240069  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.52518084136734]
Predicted rank: [0], ambiguousness: [[0.8967149  0.10328507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.61243024329107]
Predicted rank: [0], ambiguousness: [[0.60193676 0.39806324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.71084351955815]
Predicted rank: [0], ambiguousness: [[0.85358584 0.14641413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.75741993369815]
Predicted rank: [0], ambiguousness: [[0.6556474  0.34435257]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.05594458789224]
Predicted rank: [0], ambiguousness: [[0.7383657 0.2616343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.08379063520289]
Predicted rank: [0], ambiguousness: [[0.64087033 0.35912967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.37427531250273]
Predicted rank: [0], ambiguousness: [[0.7947127  0.20528726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.45291009757233]
Predicted rank: [0], ambiguousness: [[0.90487105 0.09512895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.74325039219008]
Predicted rank: [0], ambiguousness: [[0.831379   0.16862099]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.87338904446011]
Predicted rank: [0], ambiguousness: [[0.9134268  0.08657318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.95228854891607]
Predicted rank: [0], ambiguousness: [[0.8359959  0.16400409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.34069041337563]
Predicted rank: [0], ambiguousness: [[0.72479796 0.275202  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.47903091760315]
Predicted rank: [0], ambiguousness: [[0.8865542  0.11344581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.62300266538193]
Predicted rank: [0], ambiguousness: [[0.8154948  0.18450521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.73317054861755]
Predicted rank: [0], ambiguousness: [[0.6998807  0.30011928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.51496209611688]
Predicted rank: [0], ambiguousness: [[0.6874512  0.31254882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.6509528967309]
Predicted rank: [0], ambiguousness: [[0.86713475 0.13286525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.79511105025345]
Predicted rank: [0], ambiguousness: [[0.8416554  0.15834466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.98037759362141]
Predicted rank: [0], ambiguousness: [[0.8338299  0.16617014]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.13279421154769]
Predicted rank: [0], ambiguousness: [[0.6875726 0.3124274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.64342218988816]
Predicted rank: [0], ambiguousness: [[0.713993 0.286007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.98893217817331]
Predicted rank: [0], ambiguousness: [[0.808001   0.19199903]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.04467108086615]
Predicted rank: [0], ambiguousness: [[0.71247804 0.287522  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.45526127958922]
Predicted rank: [0], ambiguousness: [[0.83129656 0.1687034 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.55988136653572]
Predicted rank: [0], ambiguousness: [[0.76372975 0.23627025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.6969413986654]
Predicted rank: [0], ambiguousness: [[0.80455875 0.19544125]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.75178926094395]
Predicted rank: [0], ambiguousness: [[0.8616701  0.13832991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.27081027335403]
Predicted rank: [0], ambiguousness: [[0.77709264 0.22290735]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.41085924914722]
Predicted rank: [0], ambiguousness: [[0.7031988 0.2968012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.60548665708566]
Predicted rank: [0], ambiguousness: [[0.7690921 0.2309079]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.66015229476167]
Predicted rank: [0], ambiguousness: [[0.87800187 0.12199812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.74454913442109]
Predicted rank: [0], ambiguousness: [[0.6542272 0.3457728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.84181673449308]
Predicted rank: [0], ambiguousness: [[0.84034455 0.15965542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.88733595981586]
Predicted rank: [0], ambiguousness: [[0.6669935  0.33300653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.5048685307008]
Predicted rank: [0], ambiguousness: [[0.70218545 0.29781455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.49060994818775]
Predicted rank: [0], ambiguousness: [[0.61481094 0.3851891 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.82000682172662]
Predicted rank: [0], ambiguousness: [[0.7040366  0.29596344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.90682212885088]
Predicted rank: [0], ambiguousness: [[0.8790984  0.12090158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.27133409602874]
Predicted rank: [0], ambiguousness: [[0.71761835 0.28238165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.41190555698455]
Predicted rank: [0], ambiguousness: [[0.9113966  0.08860335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.50185915092274]
Predicted rank: [0], ambiguousness: [[0.78944004 0.21055996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.09082799632546]
Predicted rank: [0], ambiguousness: [[0.6489352  0.35106477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.23472827903826]
Predicted rank: [0], ambiguousness: [[0.87895733 0.12104268]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.38806256419448]
Predicted rank: [0], ambiguousness: [[0.76237315 0.23762685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.50953642254046]
Predicted rank: [0], ambiguousness: [[0.5835505 0.4164495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.78516490614436]
Predicted rank: [0], ambiguousness: [[0.5654603 0.4345397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.9848950409469]
Predicted rank: [0], ambiguousness: [[0.8139222  0.18607777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.2236051579529]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.5731262611357]
Predicted rank: [0], ambiguousness: [[0.7654319  0.23456812]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.14878866899187]
Predicted rank: [0], ambiguousness: [[0.63471365 0.36528635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.27482894585579]
Predicted rank: [0], ambiguousness: [[0.5920231  0.40797693]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.4122470672001]
Predicted rank: [0], ambiguousness: [[0.66182363 0.33817634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.24419439072665]
Predicted rank: [0], ambiguousness: [[0.65884256 0.34115744]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.57872353850729]
Predicted rank: [0], ambiguousness: [[0.6436455 0.3563545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.87058904738834]
Predicted rank: [0], ambiguousness: [[0.7775043 0.2224957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.1174924030921]
Predicted rank: [0], ambiguousness: [[0.76737833 0.23262167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.24092997875209]
Predicted rank: [0], ambiguousness: [[0.6821202 0.3178798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.33611614773903]
Predicted rank: [0], ambiguousness: [[0.7489318  0.25106817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.6570840093785]
Predicted rank: [0], ambiguousness: [[0.5700197 0.4299803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.28486645725903]
Predicted rank: [0], ambiguousness: [[0.6539897 0.3460103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.70170960868988]
Predicted rank: [0], ambiguousness: [[0.7745688 0.2254312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.95044337901149]
Predicted rank: [0], ambiguousness: [[0.77538425 0.22461577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.07459918024784]
Predicted rank: [0], ambiguousness: [[0.698262 0.301738]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.17010371655309]
Predicted rank: [0], ambiguousness: [[0.77434134 0.22565866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.4899319947634]
Predicted rank: [0], ambiguousness: [[0.5992477 0.4007523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.19176056140938]
Predicted rank: [0], ambiguousness: [[0.6431627  0.35683727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.48019741656533]
Predicted rank: [0], ambiguousness: [[0.739849 0.260151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.16942773089556]
Predicted rank: [0], ambiguousness: [[0.7635151  0.23648486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.36457658221751]
Predicted rank: [0], ambiguousness: [[0.67743635 0.32256368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.48983238222155]
Predicted rank: [0], ambiguousness: [[0.7448641 0.2551359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.7205920263823]
Predicted rank: [0], ambiguousness: [[0.5724025  0.42759752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.42094398844472]
Predicted rank: [0], ambiguousness: [[0.79519486 0.20480517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.67019822533051]
Predicted rank: [0], ambiguousness: [[0.8300641  0.16993588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.78813309496643]
Predicted rank: [0], ambiguousness: [[0.87756616 0.12243386]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.06935019870241]
Predicted rank: [0], ambiguousness: [[0.7318686  0.26813135]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.87555086911689]
Predicted rank: [0], ambiguousness: [[0.7496862  0.25031382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.03263307914656]
Predicted rank: [0], ambiguousness: [[0.80538714 0.19461289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.3190038093603]
Predicted rank: [0], ambiguousness: [[0.7292062 0.2707938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.13740474112552]
Predicted rank: [0], ambiguousness: [[0.6986016  0.30139843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.43088167894999]
Predicted rank: [0], ambiguousness: [[0.6523113  0.34768867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.48913659811237]
Predicted rank: [0], ambiguousness: [[0.6716198  0.32838026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.51637126751923]
Predicted rank: [0], ambiguousness: [[0.8067372 0.1932628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.78248081533698]
Predicted rank: [0], ambiguousness: [[0.6330616 0.3669384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.13867103408951]
Predicted rank: [0], ambiguousness: [[0.75532407 0.24467592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.87243029173868]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.07348777509611]
Predicted rank: [0], ambiguousness: [[0.7143153  0.28568467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.20115808776524]
Predicted rank: [0], ambiguousness: [[0.78757834 0.21242167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.42453723759309]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.25601916546388]
Predicted rank: [0], ambiguousness: [[0.81770086 0.18229915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.50704152380659]
Predicted rank: [0], ambiguousness: [[0.84530103 0.15469897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.62542820857851]
Predicted rank: [0], ambiguousness: [[0.8953201  0.10467987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.90528494637373]
Predicted rank: [0], ambiguousness: [[0.7500087 0.2499913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.71407425964193]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.87176154503764]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.15685164865212]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.97720920369582]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.26947080632698]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.32799349814765]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.35533662838249]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.14464807659527]
Predicted rank: [0], ambiguousness: [[0.67352486 0.32647517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.80995436719905]
Predicted rank: [0], ambiguousness: [[0.75470865 0.24529132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.76205392564472]
Predicted rank: [0], ambiguousness: [[0.780548 0.219452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.97475875712438]
Predicted rank: [0], ambiguousness: [[0.6982185  0.30178148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.10641715146764]
Predicted rank: [0], ambiguousness: [[0.7470021  0.25299785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.32087029325163]
Predicted rank: [0], ambiguousness: [[0.56100374 0.43899626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.77412320732992]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.20920051834322]
Predicted rank: [0], ambiguousness: [[0.8144219 0.1855781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.38036936190005]
Predicted rank: [0], ambiguousness: [[0.86558837 0.13441162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.53031127489373]
Predicted rank: [0], ambiguousness: [[0.70387083 0.29612917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.8534529263908]
Predicted rank: [0], ambiguousness: [[0.7639286 0.2360714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.07159820783579]
Predicted rank: [0], ambiguousness: [[0.81723285 0.18276715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.25423868424903]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.2441278745118]
Predicted rank: [0], ambiguousness: [[0.7146442  0.28535578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.44084102115914]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.5257348999929]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.56329950874016]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.1162501019828]
Predicted rank: [0], ambiguousness: [[0.72991323 0.27008674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.32814102976523]
Predicted rank: [0], ambiguousness: [[0.83043015 0.16956985]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.55634898426865]
Predicted rank: [0], ambiguousness: [[0.7722804 0.2277196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.55780605683097]
Predicted rank: [0], ambiguousness: [[0.8511931  0.14880696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.80790813461748]
Predicted rank: [0], ambiguousness: [[0.816992   0.18300802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.88874724091707]
Predicted rank: [0], ambiguousness: [[0.8471415  0.15285853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.9236024846854]
Predicted rank: [0], ambiguousness: [[0.89691895 0.10308104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.75546506752552]
Predicted rank: [0], ambiguousness: [[0.7472024  0.25279763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.00219202681886]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.13264065082097]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.17235109752752]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.20376992292621]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.27804406513675]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.30245169972048]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.69948990965267]
Predicted rank: [0], ambiguousness: [[0.6386349  0.36136505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.26820107683159]
Predicted rank: [0], ambiguousness: [[0.72281396 0.27718604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.35108442272195]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.57483227071097]
Predicted rank: [0], ambiguousness: [[0.6720969 0.3279031]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.7108096324508]
Predicted rank: [0], ambiguousness: [[0.7234306  0.27656943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.91316866633115]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.42277426882865]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.87650870801781]
Predicted rank: [0], ambiguousness: [[0.81961364 0.18038636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.0523419881967]
Predicted rank: [0], ambiguousness: [[0.8767271 0.1232729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.19096142479623]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.5654886792637]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.78851701020886]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.96268296551585]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.96663887537035]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.15544818055713]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.24246722022467]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.28085853892233]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.96526378639723]
Predicted rank: [0], ambiguousness: [[0.7486081  0.25139186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.17818923964444]
Predicted rank: [0], ambiguousness: [[0.8519859  0.14801411]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.40475377575956]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.40958576896739]
Predicted rank: [0], ambiguousness: [[0.86518294 0.13481708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.65823177149156]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.7394726622158]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.77447956227134]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.6089090926863]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.85422741341989]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.98528269717931]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.02515322520176]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.05706176408857]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.1315843239914]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.15619089794774]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.73621064720444]
Predicted rank: [0], ambiguousness: [[0.7576333  0.24236664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.72884633760566]
Predicted rank: [0], ambiguousness: [[0.79026365 0.20973635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.94217836887839]
Predicted rank: [0], ambiguousness: [[0.71022594 0.28977406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.07409762923271]
Predicted rank: [0], ambiguousness: [[0.77309537 0.22690463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.28799400477408]
Predicted rank: [0], ambiguousness: [[0.60225755 0.39774245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.98853988461273]
Predicted rank: [0], ambiguousness: [[0.780548 0.219452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.52762229508596]
Predicted rank: [0], ambiguousness: [[0.8146184  0.18538158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.71762010252795]
Predicted rank: [0], ambiguousness: [[0.85548323 0.14451678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.8301543443531]
Predicted rank: [0], ambiguousness: [[0.66357523 0.33642477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.44308722112146]
Predicted rank: [0], ambiguousness: [[0.7674117 0.2325883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.6752619870411]
Predicted rank: [0], ambiguousness: [[0.8071493  0.19285074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.8385026017059]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.86465383901421]
Predicted rank: [0], ambiguousness: [[0.70527005 0.29472992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.0437101473394]
Predicted rank: [0], ambiguousness: [[0.65423435 0.34576565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.13457445720942]
Predicted rank: [0], ambiguousness: [[0.6418872 0.3581128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.17422744280998]
Predicted rank: [0], ambiguousness: [[0.80901223 0.19098775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.3389630413445]
Predicted rank: [0], ambiguousness: [[0.6920463  0.30795375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.6626830390278]
Predicted rank: [0], ambiguousness: [[0.7911579  0.20884211]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.72892600238868]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.07272031890344]
Predicted rank: [0], ambiguousness: [[0.8262829  0.17371708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.18129109917263]
Predicted rank: [0], ambiguousness: [[0.7877841  0.21221593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.31167911536852]
Predicted rank: [0], ambiguousness: [[0.82169527 0.17830475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.36468817760456]
Predicted rank: [0], ambiguousness: [[0.8785714  0.12142864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.71413583414548]
Predicted rank: [0], ambiguousness: [[0.7472024  0.25279763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.8452963053063]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.03952072986664]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.09464057227666]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.17686466792873]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.27506693067679]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.32040676704594]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.98389329375505]
Predicted rank: [0], ambiguousness: [[0.71168655 0.28831345]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.16237151705722]
Predicted rank: [0], ambiguousness: [[0.6795752 0.3204248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.35267889155658]
Predicted rank: [0], ambiguousness: [[0.79633766 0.20366235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.40660983491176]
Predicted rank: [0], ambiguousness: [[0.90682876 0.09317122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.56168594972466]
Predicted rank: [0], ambiguousness: [[0.82998466 0.1700153 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.65512088571097]
Predicted rank: [0], ambiguousness: [[0.92734236 0.07265767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.69919570600413]
Predicted rank: [0], ambiguousness: [[0.8528167 0.1471833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.73860985981982]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.84410516209493]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.93888060661287]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.99419626501293]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.16698299026524]
Predicted rank: [0], ambiguousness: [[0.7311856  0.26881438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.32057780330007]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.54497233283885]
Predicted rank: [0], ambiguousness: [[0.6773795 0.3226205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.68123227642488]
Predicted rank: [0], ambiguousness: [[0.74481475 0.25518528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.88314270048352]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.4424029339653]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.03047939375375]
Predicted rank: [0], ambiguousness: [[0.7883288  0.21167119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.23052950164872]
Predicted rank: [0], ambiguousness: [[0.8338065 0.1661935]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.32135364667332]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.07297339464665]
Predicted rank: [0], ambiguousness: [[0.74509275 0.25490728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.31376698057429]
Predicted rank: [0], ambiguousness: [[0.78758806 0.21241195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.46364476163419]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.51313141702164]
Predicted rank: [0], ambiguousness: [[0.67947865 0.32052138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.67985148689587]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.77442742465655]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.81545201213822]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.02395293086022]
Predicted rank: [0], ambiguousness: [[0.7123292 0.2876708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.35741342505115]
Predicted rank: [0], ambiguousness: [[0.8166034 0.1833966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.41012020328185]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.78476393083399]
Predicted rank: [0], ambiguousness: [[0.8421805  0.15781948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.88175892954007]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.01628147741457]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.07078756552364]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.46919525433383]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.59141552453433]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.79045601758224]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.84675032017904]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.93301433312024]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.03302441316353]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.07993874252597]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.87110799291355]
Predicted rank: [0], ambiguousness: [[0.73347664 0.26652336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.047855157917]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.2391889380484]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.2933600633654]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.44993041963468]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.54370119325529]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.58807402346463]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.628425101206]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.73428527376456]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.82956238770373]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.88547015708923]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.9326060921378]
Predicted rank: [0], ambiguousness: [[0.7786047  0.22139531]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.48545496509962]
Predicted rank: [0], ambiguousness: [[0.8088924  0.19110759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.67740216014634]
Predicted rank: [0], ambiguousness: [[0.86132383 0.13867615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.78660826904064]
Predicted rank: [0], ambiguousness: [[0.6962757  0.30372426]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.44230984740817]
Predicted rank: [0], ambiguousness: [[0.7759723  0.22402768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.67498169753597]
Predicted rank: [0], ambiguousness: [[0.8271724 0.1728276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.8377186669087]
Predicted rank: [0], ambiguousness: [[0.751151   0.24884899]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.86485517844966]
Predicted rank: [0], ambiguousness: [[0.7283081  0.27169195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.04346073372824]
Predicted rank: [0], ambiguousness: [[0.67773366 0.32226634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.13453499980892]
Predicted rank: [0], ambiguousness: [[0.69628763 0.3037124 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.17425652578726]
Predicted rank: [0], ambiguousness: [[0.8188595  0.18114047]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.52623797146651]
Predicted rank: [0], ambiguousness: [[0.6942486  0.30575138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.89942127268455]
Predicted rank: [0], ambiguousness: [[0.7784646 0.2215354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 100.9133991458504]
Predicted rank: [0], ambiguousness: [[0.71811223 0.28188777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.41252166825615]
Predicted rank: [0], ambiguousness: [[0.80884665 0.19115335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.48061067892826]
Predicted rank: [0], ambiguousness: [[0.7689703 0.2310297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.62930691435602]
Predicted rank: [0], ambiguousness: [[0.7689648  0.23103517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.68845325095123]
Predicted rank: [0], ambiguousness: [[0.86231506 0.13768496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.32962203291723]
Predicted rank: [0], ambiguousness: [[0.7481332  0.25186682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.43895558639494]
Predicted rank: [0], ambiguousness: [[0.7079098  0.29209015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.64824765862792]
Predicted rank: [0], ambiguousness: [[0.7475189  0.25248113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.70660762311522]
Predicted rank: [0], ambiguousness: [[0.88943166 0.11056832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.80260808508422]
Predicted rank: [0], ambiguousness: [[0.5858083  0.41419175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.90563643184345]
Predicted rank: [0], ambiguousness: [[0.86140555 0.13859443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.95590227577576]
Predicted rank: [0], ambiguousness: [[0.6644304 0.3355696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.17919122872473]
Predicted rank: [0], ambiguousness: [[0.6704124  0.32958755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.17457311479852]
Predicted rank: [0], ambiguousness: [[0.63605493 0.36394507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.48318496952525]
Predicted rank: [0], ambiguousness: [[0.7498367  0.25016335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.56640571067317]
Predicted rank: [0], ambiguousness: [[0.88913906 0.11086097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.88116165198399]
Predicted rank: [0], ambiguousness: [[0.79375386 0.20624617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.0180989996366]
Predicted rank: [0], ambiguousness: [[0.90959895 0.09040108]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.10293362383581]
Predicted rank: [0], ambiguousness: [[0.8203985  0.17960148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.53807173290522]
Predicted rank: [0], ambiguousness: [[0.68252444 0.31747556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.68289979034796]
Predicted rank: [0], ambiguousness: [[0.88347286 0.11652712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.83564159721773]
Predicted rank: [0], ambiguousness: [[0.7986914 0.2013086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.95541379324857]
Predicted rank: [0], ambiguousness: [[0.67326903 0.32673094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.86881786574284]
Predicted rank: [0], ambiguousness: [[0.6422723 0.3577277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.0094974358733]
Predicted rank: [0], ambiguousness: [[0.8636072  0.13639277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.16013407491354]
Predicted rank: [0], ambiguousness: [[0.8267283  0.17327172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.35665015375105]
Predicted rank: [0], ambiguousness: [[0.8195254 0.1804746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.52222225614804]
Predicted rank: [0], ambiguousness: [[0.67560637 0.32439366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.61704539036539]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.20829922202142]
Predicted rank: [0], ambiguousness: [[0.7952822  0.20471781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.40740279330839]
Predicted rank: [0], ambiguousness: [[0.85075873 0.14924127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.50223578107286]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.27066406753181]
Predicted rank: [0], ambiguousness: [[0.74963737 0.2503626 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.50849421902603]
Predicted rank: [0], ambiguousness: [[0.80534637 0.19465363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.66388942599727]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.70432671662542]
Predicted rank: [0], ambiguousness: [[0.6985468  0.30145317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.87621084234894]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.96949606828917]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.01001313234158]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.2605367593167]
Predicted rank: [0], ambiguousness: [[0.66995287 0.33004713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.64834652368472]
Predicted rank: [0], ambiguousness: [[0.75853336 0.24146661]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 100.64578374052374]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.19085580315902]
Predicted rank: [0], ambiguousness: [[0.79091465 0.20908532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.24577032836709]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.40015203414839]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.46124342410053]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.18861191698403]
Predicted rank: [0], ambiguousness: [[0.7264321  0.27356791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.2901657232936]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.50456113683404]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.56405644884532]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.6645042835427]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.7692489636358]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.82118802331712]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.08328660047789]
Predicted rank: [0], ambiguousness: [[0.69590104 0.30409896]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.0713852636548]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.38521669000339]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.46968689484305]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.79275692879926]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.93146454706795]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.01802506844953]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.475451414509]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.62166025932385]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.77649851254401]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.89875615599504]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.88851103657211]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.02913959378735]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.17976292963178]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.37629450755333]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.54152229328494]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.64393592908155]
Predicted rank: [0], ambiguousness: [[0.6821073 0.3178927]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.0179150176844]
Predicted rank: [0], ambiguousness: [[0.7834166  0.21658339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.03329031988515]
Predicted rank: [0], ambiguousness: [[0.72919124 0.27080876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.53544061595451]
Predicted rank: [0], ambiguousness: [[0.81290555 0.18709442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.60546053010506]
Predicted rank: [0], ambiguousness: [[0.77225924 0.2277408 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.75409906198237]
Predicted rank: [0], ambiguousness: [[0.80804664 0.19195335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.81315925191844]
Predicted rank: [0], ambiguousness: [[0.8685801  0.13141987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.47191710158438]
Predicted rank: [0], ambiguousness: [[0.7497763 0.2502237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.5847875050302]
Predicted rank: [0], ambiguousness: [[0.72023964 0.27976036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.79249480174875]
Predicted rank: [0], ambiguousness: [[0.7835143  0.21648566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.85043789514546]
Predicted rank: [0], ambiguousness: [[0.89136    0.10864003]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.94505187680619]
Predicted rank: [0], ambiguousness: [[0.67277133 0.32722867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.04743903613084]
Predicted rank: [0], ambiguousness: [[0.8571551  0.14284489]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.09719049568824]
Predicted rank: [0], ambiguousness: [[0.69454277 0.30545723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.52084860817816]
Predicted rank: [0], ambiguousness: [[0.67124903 0.32875097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.46230182304633]
Predicted rank: [0], ambiguousness: [[0.6249033  0.37509668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 100.82047631366399]
Predicted rank: [0], ambiguousness: [[0.71288294 0.28711706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 100.91416653405383]
Predicted rank: [0], ambiguousness: [[0.88842416 0.11157585]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.32295237710795]
Predicted rank: [0], ambiguousness: [[0.7093428  0.29065722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.47329986501765]
Predicted rank: [0], ambiguousness: [[0.912001   0.08799898]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.57232309302077]
Predicted rank: [0], ambiguousness: [[0.78571385 0.21428613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.26331328396867]
Predicted rank: [0], ambiguousness: [[0.65863    0.34136996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.41537704525564]
Predicted rank: [0], ambiguousness: [[0.8882926  0.11170741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.58028815584603]
Predicted rank: [0], ambiguousness: [[0.77770114 0.22229883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.71472842486318]
Predicted rank: [0], ambiguousness: [[0.60442835 0.39557165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.90131585326722]
Predicted rank: [0], ambiguousness: [[0.5857507 0.4142493]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.11296653609531]
Predicted rank: [0], ambiguousness: [[0.8329618  0.16703819]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.3690621131633]
Predicted rank: [0], ambiguousness: [[0.7898134  0.21018657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.7499134001491]
Predicted rank: [0], ambiguousness: [[0.7814816  0.21851839]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.39345429488523]
Predicted rank: [0], ambiguousness: [[0.66358656 0.33641344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.70475688976427]
Predicted rank: [0], ambiguousness: [[0.6222621  0.37773785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.34546772724286]
Predicted rank: [0], ambiguousness: [[0.6654242 0.3345758]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.70312950101582]
Predicted rank: [0], ambiguousness: [[0.7941427 0.2058573]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.74505393193644]
Predicted rank: [0], ambiguousness: [[0.7527249 0.2472751]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.19419959201353]
Predicted rank: [0], ambiguousness: [[0.8164332  0.18356682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.28783543872463]
Predicted rank: [0], ambiguousness: [[0.7691441  0.23085587]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.42955492497138]
Predicted rank: [0], ambiguousness: [[0.8203937  0.17960635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.48600055111393]
Predicted rank: [0], ambiguousness: [[0.8790824  0.12091761]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.07780773414558]
Predicted rank: [0], ambiguousness: [[0.7506173  0.24938269]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.2114536179749]
Predicted rank: [0], ambiguousness: [[0.7043544 0.2956456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.41005138861107]
Predicted rank: [0], ambiguousness: [[0.7939722  0.20602779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.46561723880144]
Predicted rank: [0], ambiguousness: [[0.8985428  0.10145718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.55337746624195]
Predicted rank: [0], ambiguousness: [[0.6864379 0.3135621]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.65201700969536]
Predicted rank: [0], ambiguousness: [[0.8491547  0.15084532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.69883575326095]
Predicted rank: [0], ambiguousness: [[0.6852908 0.3147092]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.24475902598677]
Predicted rank: [0], ambiguousness: [[0.679118   0.32088202]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.21683410877216]
Predicted rank: [0], ambiguousness: [[0.6252786  0.37472144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.55711201662734]
Predicted rank: [0], ambiguousness: [[0.74103034 0.25896966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.64637335639952]
Predicted rank: [0], ambiguousness: [[0.9029381  0.09706184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.02990612803694]
Predicted rank: [0], ambiguousness: [[0.72969425 0.27030578]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.17378317897668]
Predicted rank: [0], ambiguousness: [[0.9132179  0.08678209]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.2670616880637]
Predicted rank: [0], ambiguousness: [[0.7848465  0.21515353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.90738492542746]
Predicted rank: [0], ambiguousness: [[0.68978167 0.31021836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.05349102391173]
Predicted rank: [0], ambiguousness: [[0.88979775 0.11020227]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.21025848458703]
Predicted rank: [0], ambiguousness: [[0.7838427  0.21615733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.33571177989757]
Predicted rank: [0], ambiguousness: [[0.6129745  0.38702545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.62282518450587]
Predicted rank: [0], ambiguousness: [[0.66118336 0.33881667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.82510301741638]
Predicted rank: [0], ambiguousness: [[0.8532648  0.14673522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.06771114443517]
Predicted rank: [0], ambiguousness: [[0.8250493  0.17495073]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.42486230189343]
Predicted rank: [0], ambiguousness: [[0.8112511  0.18874891]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.02010361804277]
Predicted rank: [0], ambiguousness: [[0.70132524 0.29867476]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.2062248669246]
Predicted rank: [0], ambiguousness: [[0.6622773  0.33772272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.41794660405813]
Predicted rank: [0], ambiguousness: [[0.65894866 0.3410513 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.39896397889522]
Predicted rank: [0], ambiguousness: [[0.62313086 0.37686914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.73316594006488]
Predicted rank: [0], ambiguousness: [[0.73929703 0.26070297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.82096793551328]
Predicted rank: [0], ambiguousness: [[0.8789794 0.1210206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.19578849755294]
Predicted rank: [0], ambiguousness: [[0.7845328  0.21546723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.33755319636448]
Predicted rank: [0], ambiguousness: [[0.90110576 0.09889422]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.42878993539375]
Predicted rank: [0], ambiguousness: [[0.80531865 0.19468135]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.05004425234891]
Predicted rank: [0], ambiguousness: [[0.68349427 0.31650573]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.19421845881075]
Predicted rank: [0], ambiguousness: [[0.87936854 0.12063148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.3480201877779]
Predicted rank: [0], ambiguousness: [[0.79230285 0.20769714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.46991889683298]
Predicted rank: [0], ambiguousness: [[0.66457176 0.3354282 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.99290496725943]
Predicted rank: [0], ambiguousness: [[0.57799464 0.42200536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.21644875267461]
Predicted rank: [0], ambiguousness: [[0.8438315  0.15616852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.4959973237789]
Predicted rank: [0], ambiguousness: [[0.7739159  0.22608414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.93783280777964]
Predicted rank: [0], ambiguousness: [[0.723522 0.276478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.762441663872]
Predicted rank: [0], ambiguousness: [[0.66064835 0.33935165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.38463578075135]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.72008221761504]
Predicted rank: [0], ambiguousness: [[0.5250639 0.4749361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.62963367652992]
Predicted rank: [0], ambiguousness: [[0.5712913  0.42870867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.54473987937548]
Predicted rank: [0], ambiguousness: [[0.5548293 0.4451707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.34714479592293]
Predicted rank: [0], ambiguousness: [[0.71957093 0.28042907]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.5109839685648]
Predicted rank: [0], ambiguousness: [[0.7048278  0.29517218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.5958651142446]
Predicted rank: [0], ambiguousness: [[0.6489656  0.35103437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.66373381476166]
Predicted rank: [0], ambiguousness: [[0.6730262  0.32697377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.16041746838505]
Predicted rank: [0], ambiguousness: [[0.5448646 0.4551354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.38785295818909]
Predicted rank: [0], ambiguousness: [[0.58273673 0.4172633 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.25577025314715]
Predicted rank: [0], ambiguousness: [[0.7298494 0.2701506]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.42058249396462]
Predicted rank: [0], ambiguousness: [[0.7279427  0.27205727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.50584360442599]
Predicted rank: [0], ambiguousness: [[0.68100893 0.3189911 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.57388009674685]
Predicted rank: [0], ambiguousness: [[0.7171532  0.28284678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.06997246816476]
Predicted rank: [0], ambiguousness: [[0.58358556 0.41641444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.30824694675852]
Predicted rank: [0], ambiguousness: [[0.55764246 0.4423575 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.81894628192426]
Predicted rank: [0], ambiguousness: [[0.69098985 0.30901015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.26177382040437]
Predicted rank: [0], ambiguousness: [[0.7144898  0.28551018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.39248297339779]
Predicted rank: [0], ambiguousness: [[0.65957296 0.340427  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.47951523117474]
Predicted rank: [0], ambiguousness: [[0.6832614 0.3167386]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.91963787018003]
Predicted rank: [0], ambiguousness: [[0.5564678  0.44353226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.03203553444351]
Predicted rank: [0], ambiguousness: [[0.75059164 0.24940833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.2021550279677]
Predicted rank: [0], ambiguousness: [[0.81079054 0.18920948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.28561675058171]
Predicted rank: [0], ambiguousness: [[0.8478781  0.15212187]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.75552127916374]
Predicted rank: [0], ambiguousness: [[0.7332425  0.26675746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.33617139595393]
Predicted rank: [0], ambiguousness: [[0.7029244  0.29707566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.44755441164608]
Predicted rank: [0], ambiguousness: [[0.7623402  0.23765981]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.92024514289372]
Predicted rank: [0], ambiguousness: [[0.7162179  0.28378212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.51882764297724]
Predicted rank: [0], ambiguousness: [[0.6666554 0.3333446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.99616544726581]
Predicted rank: [0], ambiguousness: [[0.63746846 0.36253154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.03662508916443]
Predicted rank: [0], ambiguousness: [[0.6571679  0.34283206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.05570327960884]
Predicted rank: [0], ambiguousness: [[0.79574126 0.20425875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.08938904703265]
Predicted rank: [0], ambiguousness: [[0.5390725  0.46092752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.63607759505442]
Predicted rank: [0], ambiguousness: [[0.7017266  0.29827338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.10215590842603]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.23595796435387]
Predicted rank: [0], ambiguousness: [[0.6909504  0.30904958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.32424966397426]
Predicted rank: [0], ambiguousness: [[0.7264209  0.27357915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.76058360789608]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.94162651612056]
Predicted rank: [0], ambiguousness: [[0.7711548 0.2288452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.11268082199629]
Predicted rank: [0], ambiguousness: [[0.82288814 0.17711188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.19638079728793]
Predicted rank: [0], ambiguousness: [[0.86570454 0.13429545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.66557959717454]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.24759116630165]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.35929304849358]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.83131957812256]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.43092401108274]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.90763183367444]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.94823293279049]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.96736862979029]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.27787760524707]
Predicted rank: [0], ambiguousness: [[0.5963597 0.4036403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.41034572634487]
Predicted rank: [0], ambiguousness: [[0.67292666 0.3270733 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.01140725342606]
Predicted rank: [0], ambiguousness: [[0.7166583 0.2833417]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.15269343504485]
Predicted rank: [0], ambiguousness: [[0.6741377 0.3258623]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.24356545901462]
Predicted rank: [0], ambiguousness: [[0.66683906 0.33316094]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.67406256861838]
Predicted rank: [0], ambiguousness: [[0.5449819 0.4550181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.33972121269781]
Predicted rank: [0], ambiguousness: [[0.7238111 0.2761889]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.62732078512812]
Predicted rank: [0], ambiguousness: [[0.7886538 0.2113462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.74455625233679]
Predicted rank: [0], ambiguousness: [[0.82916623 0.17083378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.13246621741233]
Predicted rank: [0], ambiguousness: [[0.7053304  0.29466963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.03793630060221]
Predicted rank: [0], ambiguousness: [[0.71247125 0.28752872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.18822868577735]
Predicted rank: [0], ambiguousness: [[0.77060086 0.22939913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.59591576805224]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.30281115438432]
Predicted rank: [0], ambiguousness: [[0.67683196 0.323168  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.71954871805629]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.77701410795561]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.80270151211809]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.81245547860095]
Predicted rank: [0], ambiguousness: [[0.6742036  0.32579643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.96104705987858]
Predicted rank: [0], ambiguousness: [[0.7862848 0.2137152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.39471560403551]
Predicted rank: [0], ambiguousness: [[0.76068    0.23931997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.11689093711718]
Predicted rank: [0], ambiguousness: [[0.8307186  0.16928141]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.56507587386486]
Predicted rank: [0], ambiguousness: [[0.81252134 0.18747868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.62101144889968]
Predicted rank: [0], ambiguousness: [[0.8466122  0.15338778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.64531633560571]
Predicted rank: [0], ambiguousness: [[0.8971751  0.10282492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.24516437261283]
Predicted rank: [0], ambiguousness: [[0.67915595 0.32084405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.69018644427933]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.78126891688251]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.80916051330743]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.82768596915358]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.88045798778805]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.8962264845009]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.03799602222114]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.12054375101042]
Predicted rank: [0], ambiguousness: [[0.6355334 0.3644666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.78978214562758]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.93683306267334]
Predicted rank: [0], ambiguousness: [[0.64698553 0.35301447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.02995132669261]
Predicted rank: [0], ambiguousness: [[0.639404 0.360596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.45425770485018]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.14985665477174]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.44719400805565]
Predicted rank: [0], ambiguousness: [[0.7943844 0.2056156]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.56686173185317]
Predicted rank: [0], ambiguousness: [[0.842775   0.15722498]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.9489651202584]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.88117258904893]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.03401265249835]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.43734985880822]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.15152436791689]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.56420756259624]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.62278378318751]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.64890439446717]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.72748419946197]
Predicted rank: [0], ambiguousness: [[0.69514406 0.30485597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.87662121438841]
Predicted rank: [0], ambiguousness: [[0.81218314 0.18781687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.30943749755168]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.03338089114068]
Predicted rank: [0], ambiguousness: [[0.84628576 0.15371425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.48081116517548]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.53695899527213]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.56134420477791]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.1625401689281]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.60683243695598]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.698234636004]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.72621095712243]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.7449958568584]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.79789880591572]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.8137729259638]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.36197251233548]
Predicted rank: [0], ambiguousness: [[0.7043437  0.29565632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.98645792825651]
Predicted rank: [0], ambiguousness: [[0.7389487  0.26105133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.12811032715817]
Predicted rank: [0], ambiguousness: [[0.6866733 0.3133267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.21913379420491]
Predicted rank: [0], ambiguousness: [[0.70930713 0.29069287]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.64931313673664]
Predicted rank: [0], ambiguousness: [[0.586632   0.41336802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.8588730772341]
Predicted rank: [0], ambiguousness: [[0.7166583 0.2833417]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.20897825818562]
Predicted rank: [0], ambiguousness: [[0.7888705  0.21112947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.33750644228738]
Predicted rank: [0], ambiguousness: [[0.79652965 0.20347036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.7033681109294]
Predicted rank: [0], ambiguousness: [[0.66513896 0.33486104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.7828339729358]
Predicted rank: [0], ambiguousness: [[0.7164318 0.2835682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.94153889482193]
Predicted rank: [0], ambiguousness: [[0.7485088 0.2514912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.33778096871282]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.06628342085071]
Predicted rank: [0], ambiguousness: [[0.6094445  0.39055553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.47261192392634]
Predicted rank: [0], ambiguousness: [[0.6394282 0.3605718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.53366054456853]
Predicted rank: [0], ambiguousness: [[0.6268538  0.37314618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.56060438091005]
Predicted rank: [0], ambiguousness: [[0.79811335 0.20188668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.0340195301755]
Predicted rank: [0], ambiguousness: [[0.6324588  0.36754116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.25341823311855]
Predicted rank: [0], ambiguousness: [[0.7399897 0.2600103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.58608329729142]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.52327088258141]
Predicted rank: [0], ambiguousness: [[0.80317366 0.19682631]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.88319195602253]
Predicted rank: [0], ambiguousness: [[0.78278965 0.21721037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.97058341300719]
Predicted rank: [0], ambiguousness: [[0.8210965 0.1789035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.00643233115986]
Predicted rank: [0], ambiguousness: [[0.8788669 0.1211331]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.93113469432332]
Predicted rank: [0], ambiguousness: [[0.67915595 0.32084405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.30385883872691]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.43555369208892]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.47328710986952]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.52429668888516]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.59229845524801]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.62148054101219]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.70889483974872]
Predicted rank: [0], ambiguousness: [[0.63870275 0.36129725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.10827375251561]
Predicted rank: [0], ambiguousness: [[0.665299 0.334701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.23990054146486]
Predicted rank: [0], ambiguousness: [[0.7856226  0.21437739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.27748959811694]
Predicted rank: [0], ambiguousness: [[0.90082765 0.09917238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.37944286410666]
Predicted rank: [0], ambiguousness: [[0.8257637  0.17423627]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.44530563495172]
Predicted rank: [0], ambiguousness: [[0.9250275  0.07497253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.47457375894933]
Predicted rank: [0], ambiguousness: [[0.8523037  0.14769632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.49172245432081]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.5664108387463]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.63150511595725]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.66631906533229]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.05238729611798]
Predicted rank: [0], ambiguousness: [[0.6640131 0.3359869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.76145387692931]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.90894424071689]
Predicted rank: [0], ambiguousness: [[0.64156157 0.35843843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.00224963629162]
Predicted rank: [0], ambiguousness: [[0.6658684 0.3341316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.42622601655641]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.56169439870013]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.93758458770034]
Predicted rank: [0], ambiguousness: [[0.7600052  0.23999482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.07139769452735]
Predicted rank: [0], ambiguousness: [[0.76840407 0.23159592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.42603681220554]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.57840602764401]
Predicted rank: [0], ambiguousness: [[0.6911894  0.30881062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.74164434883943]
Predicted rank: [0], ambiguousness: [[0.7250259 0.2749741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.13097038087291]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.8716563548078]
Predicted rank: [0], ambiguousness: [[0.5802581  0.41974193]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.2716042401981]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.33460788514326]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.36227598585509]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.85928277360279]
Predicted rank: [0], ambiguousness: [[0.65470827 0.3452917 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.08381518184973]
Predicted rank: [0], ambiguousness: [[0.76985604 0.23014395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.4094634780222]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.36280960676565]
Predicted rank: [0], ambiguousness: [[0.8207272  0.17927276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.71673400785966]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.8063081033923]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.84294832616402]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.79339865181049]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.16148753630588]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.29572261235138]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.33407757729995]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.38722906484102]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.45618399766303]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.48620178691303]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.64119011811918]
Predicted rank: [0], ambiguousness: [[0.66339993 0.33660007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.03965972836373]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.17183476963703]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.20955258429154]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.31230612686028]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.37834833578287]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.40777669695305]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.42543415308262]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.50031735023785]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.56568012865405]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.60081217625304]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.81654351603484]
Predicted rank: [0], ambiguousness: [[0.7254282  0.27457175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.17465262424508]
Predicted rank: [0], ambiguousness: [[0.78256154 0.21743849]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.30432113224988]
Predicted rank: [0], ambiguousness: [[0.8239811  0.17601888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.66826023139191]
Predicted rank: [0], ambiguousness: [[0.69775665 0.30224332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.7726152081018]
Predicted rank: [0], ambiguousness: [[0.72619927 0.2738007 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.93162500119703]
Predicted rank: [0], ambiguousness: [[0.78240114 0.21759886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.3275527644139]
Predicted rank: [0], ambiguousness: [[0.7388383 0.2611617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.05666961666914]
Predicted rank: [0], ambiguousness: [[0.69152486 0.30847514]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.46271615732591]
Predicted rank: [0], ambiguousness: [[0.663416   0.33658394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.5238937522904]
Predicted rank: [0], ambiguousness: [[0.68240803 0.31759197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.55088008989244]
Predicted rank: [0], ambiguousness: [[0.8083894  0.19161054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.53185145434394]
Predicted rank: [0], ambiguousness: [[0.6348625  0.36513752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.78094666117215]
Predicted rank: [0], ambiguousness: [[0.7141905 0.2858095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.08277535974261]
Predicted rank: [0], ambiguousness: [[0.7048072  0.29519278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.11282890050124]
Predicted rank: [0], ambiguousness: [[0.72405905 0.27594095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.44888728722576]
Predicted rank: [0], ambiguousness: [[0.76366585 0.23633416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.5472792701677]
Predicted rank: [0], ambiguousness: [[0.76823896 0.23176105]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.5868181533715]
Predicted rank: [0], ambiguousness: [[0.86264396 0.13735604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.6868208237969]
Predicted rank: [0], ambiguousness: [[0.66816926 0.33183077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.04665999018323]
Predicted rank: [0], ambiguousness: [[0.69432825 0.30567175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.18739775210618]
Predicted rank: [0], ambiguousness: [[0.73508984 0.26491016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.2270823258734]
Predicted rank: [0], ambiguousness: [[0.88245517 0.11754482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.28641354972459]
Predicted rank: [0], ambiguousness: [[0.5699978  0.43000218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.35731134891711]
Predicted rank: [0], ambiguousness: [[0.8529531  0.14704692]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.38946337729823]
Predicted rank: [0], ambiguousness: [[0.6498272  0.35017282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.90719073817115]
Predicted rank: [0], ambiguousness: [[0.5929562 0.4070438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.1925854265917]
Predicted rank: [0], ambiguousness: [[0.6209213 0.3790787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.39906903315494]
Predicted rank: [0], ambiguousness: [[0.7374816 0.2625184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.45524110818107]
Predicted rank: [0], ambiguousness: [[0.8821465  0.11785349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.65791356875073]
Predicted rank: [0], ambiguousness: [[0.7888622 0.2111378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.75131621606096]
Predicted rank: [0], ambiguousness: [[0.90677565 0.09322436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.80653850352893]
Predicted rank: [0], ambiguousness: [[0.8197964  0.18020362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.07211882772806]
Predicted rank: [0], ambiguousness: [[0.66831553 0.3316845 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.17182309508925]
Predicted rank: [0], ambiguousness: [[0.8761728  0.12382724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.27388847194536]
Predicted rank: [0], ambiguousness: [[0.7880673  0.21193273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.349929721039]
Predicted rank: [0], ambiguousness: [[0.65885293 0.34114707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.88286844473276]
Predicted rank: [0], ambiguousness: [[0.62724566 0.37275434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.98144119467781]
Predicted rank: [0], ambiguousness: [[0.85526645 0.14473356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.08437728188835]
Predicted rank: [0], ambiguousness: [[0.8172452  0.18275481]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.21449977711852]
Predicted rank: [0], ambiguousness: [[0.81510264 0.18489738]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.31834737105697]
Predicted rank: [0], ambiguousness: [[0.6612415  0.33875853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.62426430022902]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.00400341865569]
Predicted rank: [0], ambiguousness: [[0.7589907 0.2410093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.1377295732857]
Predicted rank: [0], ambiguousness: [[0.8037745  0.19622552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.49358835889905]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.66120638637986]
Predicted rank: [0], ambiguousness: [[0.686115   0.31388494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.8231875821405]
Predicted rank: [0], ambiguousness: [[0.747686   0.25231394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.21489373958893]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.95167538041815]
Predicted rank: [0], ambiguousness: [[0.64881915 0.35118085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.35385347266993]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.41630717836014]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.44375573523244]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.36703244005028]
Predicted rank: [0], ambiguousness: [[0.6085089  0.39149112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.62445448338343]
Predicted rank: [0], ambiguousness: [[0.6907736 0.3092264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.9169448617766]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.97304827132274]
Predicted rank: [0], ambiguousness: [[0.70111233 0.29888767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.30164945395548]
Predicted rank: [0], ambiguousness: [[0.75111175 0.24888824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.40328864757208]
Predicted rank: [0], ambiguousness: [[0.7558501  0.24414991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.443941792712]
Predicted rank: [0], ambiguousness: [[0.8488154  0.15118463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.59271111261646]
Predicted rank: [0], ambiguousness: [[0.6428672 0.3571328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.94806992894098]
Predicted rank: [0], ambiguousness: [[0.67963606 0.32036394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.09175209143633]
Predicted rank: [0], ambiguousness: [[0.7215712 0.2784288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.13209741584873]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.19400077841735]
Predicted rank: [0], ambiguousness: [[0.55317545 0.44682458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.26589534290004]
Predicted rank: [0], ambiguousness: [[0.8383317 0.1616683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.29901734497363]
Predicted rank: [0], ambiguousness: [[0.62391376 0.37608624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.83790643529446]
Predicted rank: [0], ambiguousness: [[0.621049 0.378951]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.11900916372156]
Predicted rank: [0], ambiguousness: [[0.6554973 0.3445027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.32857963319677]
Predicted rank: [0], ambiguousness: [[0.77683467 0.22316533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.38549424572639]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.59305240437683]
Predicted rank: [0], ambiguousness: [[0.82203597 0.17796405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.68750625573914]
Predicted rank: [0], ambiguousness: [[0.91395825 0.08604177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.7437537140392]
Predicted rank: [0], ambiguousness: [[0.83558965 0.16441037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.02223844638517]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.12277471744025]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.22609737772268]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.30362962978562]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.88060547041084]
Predicted rank: [0], ambiguousness: [[0.6641793 0.3358207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.9791977486762]
Predicted rank: [0], ambiguousness: [[0.8679092 0.1320908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.08219475199579]
Predicted rank: [0], ambiguousness: [[0.8357048  0.16429523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.21245037154003]
Predicted rank: [0], ambiguousness: [[0.83341926 0.16658072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.31625246057443]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.57318783981842]
Predicted rank: [0], ambiguousness: [[0.6216482  0.37835184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.82334071951587]
Predicted rank: [0], ambiguousness: [[0.73099667 0.26900333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.12518189555595]
Predicted rank: [0], ambiguousness: [[0.7162025 0.2837975]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.15889202438944]
Predicted rank: [0], ambiguousness: [[0.7884723  0.21152769]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.49538838150582]
Predicted rank: [0], ambiguousness: [[0.7670074 0.2329926]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.59398859704378]
Predicted rank: [0], ambiguousness: [[0.80741286 0.19258715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.63356359553043]
Predicted rank: [0], ambiguousness: [[0.86889637 0.13110365]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.7468641604764]
Predicted rank: [0], ambiguousness: [[0.68212795 0.31787205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.10821779951377]
Predicted rank: [0], ambiguousness: [[0.70699406 0.29300594]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.24830316541617]
Predicted rank: [0], ambiguousness: [[0.7723175  0.22768249]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.28781011910911]
Predicted rank: [0], ambiguousness: [[0.88448936 0.11551066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.34655393299931]
Predicted rank: [0], ambiguousness: [[0.6583444  0.34165558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.41718004220752]
Predicted rank: [0], ambiguousness: [[0.848489   0.15151103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.44911898105379]
Predicted rank: [0], ambiguousness: [[0.6806201  0.31937993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.47722054388362]
Predicted rank: [0], ambiguousness: [[0.5805606  0.41943938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.72988045341727]
Predicted rank: [0], ambiguousness: [[0.60959065 0.39040932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.96678715656839]
Predicted rank: [0], ambiguousness: [[0.6994344 0.3005656]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.02941264320883]
Predicted rank: [0], ambiguousness: [[0.88139254 0.11860744]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.28973640786629]
Predicted rank: [0], ambiguousness: [[0.7031977 0.2968023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.39139831801745]
Predicted rank: [0], ambiguousness: [[0.90924525 0.09075473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.45538449999094]
Predicted rank: [0], ambiguousness: [[0.7850259 0.2149741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.8776388195987]
Predicted rank: [0], ambiguousness: [[0.64390963 0.35609037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.9818611230114]
Predicted rank: [0], ambiguousness: [[0.8812538  0.11874621]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.09150125097992]
Predicted rank: [0], ambiguousness: [[0.76629335 0.23370664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.17670813104951]
Predicted rank: [0], ambiguousness: [[0.5888298  0.41117018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.95795513860415]
Predicted rank: [0], ambiguousness: [[0.5699396 0.4300604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.10170988753748]
Predicted rank: [0], ambiguousness: [[0.8231308  0.17686921]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.27192597867437]
Predicted rank: [0], ambiguousness: [[0.7788505  0.22114952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.51926988187012]
Predicted rank: [0], ambiguousness: [[0.7763809 0.2236191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.92560820000512]
Predicted rank: [0], ambiguousness: [[0.64896595 0.35103402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.7278646266433]
Predicted rank: [0], ambiguousness: [[0.6069095  0.39309052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.92252397151765]
Predicted rank: [0], ambiguousness: [[0.5921597 0.4078403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.16496772375775]
Predicted rank: [0], ambiguousness: [[0.7342588  0.26574123]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.47948614280892]
Predicted rank: [0], ambiguousness: [[0.74046314 0.25953686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.48827600043589]
Predicted rank: [0], ambiguousness: [[0.7843788  0.21562119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.83611535502233]
Predicted rank: [0], ambiguousness: [[0.76384246 0.23615752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.93141235145691]
Predicted rank: [0], ambiguousness: [[0.8197915  0.18020852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.96972710647071]
Predicted rank: [0], ambiguousness: [[0.8793768  0.12062317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.0528212408193]
Predicted rank: [0], ambiguousness: [[0.67267716 0.3273228 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.42433752385833]
Predicted rank: [0], ambiguousness: [[0.69067967 0.3093203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.55995944297321]
Predicted rank: [0], ambiguousness: [[0.7831666  0.21683343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.5982887913959]
Predicted rank: [0], ambiguousness: [[0.8920715  0.10792851]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.65367945589614]
Predicted rank: [0], ambiguousness: [[0.67232    0.32767996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.72245406869708]
Predicted rank: [0], ambiguousness: [[0.84009373 0.15990625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.75294614517748]
Predicted rank: [0], ambiguousness: [[0.67114604 0.32885396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.84017415304842]
Predicted rank: [0], ambiguousness: [[0.589272   0.41072795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.10754698291706]
Predicted rank: [0], ambiguousness: [[0.60997164 0.39002836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.33587579604136]
Predicted rank: [0], ambiguousness: [[0.72839797 0.27160203]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.39635774902268]
Predicted rank: [0], ambiguousness: [[0.8967149  0.10328507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.64476796994316]
Predicted rank: [0], ambiguousness: [[0.72381186 0.2761881 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.74329354096095]
Predicted rank: [0], ambiguousness: [[0.91049653 0.08950347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.80449939080731]
Predicted rank: [0], ambiguousness: [[0.7841565 0.2158435]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.20360426968554]
Predicted rank: [0], ambiguousness: [[0.6757432 0.3242568]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.3048890539516]
Predicted rank: [0], ambiguousness: [[0.8828412  0.11715874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.4105270186405]
Predicted rank: [0], ambiguousness: [[0.7726579 0.2273421]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.49131118823652]
Predicted rank: [0], ambiguousness: [[0.5974885  0.40251145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.32504757285733]
Predicted rank: [0], ambiguousness: [[0.64651394 0.35348606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.46413052086214]
Predicted rank: [0], ambiguousness: [[0.84440553 0.1555945 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.62761838702914]
Predicted rank: [0], ambiguousness: [[0.8154948  0.18450521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.86317286491924]
Predicted rank: [0], ambiguousness: [[0.80667335 0.19332664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.24571052122592]
Predicted rank: [0], ambiguousness: [[0.6875726 0.3124274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.98687163825491]
Predicted rank: [0], ambiguousness: [[0.64763    0.35237002]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.93879244085937]
Predicted rank: [0], ambiguousness: [[0.5688164 0.4311836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.21109481521961]
Predicted rank: [0], ambiguousness: [[0.60779124 0.39220876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.43605893365617]
Predicted rank: [0], ambiguousness: [[0.72661126 0.27338877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.49572618521216]
Predicted rank: [0], ambiguousness: [[0.87143874 0.12856124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.7393956487101]
Predicted rank: [0], ambiguousness: [[0.7794832 0.2205168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.83673938000993]
Predicted rank: [0], ambiguousness: [[0.898047   0.10195303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.89679964803497]
Predicted rank: [0], ambiguousness: [[0.804678   0.19532198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.28580639378035]
Predicted rank: [0], ambiguousness: [[0.6693077  0.33069226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.38598713492287]
Predicted rank: [0], ambiguousness: [[0.8718486  0.12815143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.48992744916637]
Predicted rank: [0], ambiguousness: [[0.7814338 0.2185662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.56866480542766]
Predicted rank: [0], ambiguousness: [[0.6499715  0.35002854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.92182111064793]
Predicted rank: [0], ambiguousness: [[0.5621089 0.4378911]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.07427846664382]
Predicted rank: [0], ambiguousness: [[0.8345131  0.16548687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.26103495626077]
Predicted rank: [0], ambiguousness: [[0.76237315 0.23762685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.54994667385327]
Predicted rank: [0], ambiguousness: [[0.7175573  0.28244266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.07713308393444]
Predicted rank: [0], ambiguousness: [[0.6459682  0.35403183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.13783182920048]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.72007490639447]
Predicted rank: [0], ambiguousness: [[0.5632831  0.43671688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.62945946533341]
Predicted rank: [0], ambiguousness: [[0.5943936  0.40560636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.54456566817896]
Predicted rank: [0], ambiguousness: [[0.59926456 0.40073544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.34697058472642]
Predicted rank: [0], ambiguousness: [[0.7412929 0.2587071]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.51080975736828]
Predicted rank: [0], ambiguousness: [[0.74127257 0.2587274 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.5956909030481]
Predicted rank: [0], ambiguousness: [[0.700819   0.29918095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.66355960356513]
Predicted rank: [0], ambiguousness: [[0.7138374 0.2861626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.16024325718853]
Predicted rank: [0], ambiguousness: [[0.5961765 0.4038235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.38698692593843]
Predicted rank: [0], ambiguousness: [[0.5960686  0.40393138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.25490422089652]
Predicted rank: [0], ambiguousness: [[0.7265359  0.27346408]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.41971646171397]
Predicted rank: [0], ambiguousness: [[0.7387154 0.2612846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.50497757217535]
Predicted rank: [0], ambiguousness: [[0.69285583 0.30714414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.5730140644962]
Predicted rank: [0], ambiguousness: [[0.72819364 0.2718064 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.06910643591414]
Predicted rank: [0], ambiguousness: [[0.59690917 0.40309086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.30738091450789]
Predicted rank: [0], ambiguousness: [[0.5711861  0.42881387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.81808024967361]
Predicted rank: [0], ambiguousness: [[0.6874039  0.31259608]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.26090778815373]
Predicted rank: [0], ambiguousness: [[0.72559434 0.27440566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.39161694114715]
Predicted rank: [0], ambiguousness: [[0.67183244 0.32816756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.4786491989241]
Predicted rank: [0], ambiguousness: [[0.69506216 0.30493784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.9187718379294]
Predicted rank: [0], ambiguousness: [[0.5700197 0.4299803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.03116950219288]
Predicted rank: [0], ambiguousness: [[0.7607622  0.23923776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.20128899571705]
Predicted rank: [0], ambiguousness: [[0.8138236  0.18617642]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.28475071833108]
Predicted rank: [0], ambiguousness: [[0.8471483  0.15285169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.75465524691312]
Predicted rank: [0], ambiguousness: [[0.72995526 0.27004474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.33530536370327]
Predicted rank: [0], ambiguousness: [[0.71429884 0.28570113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.44668837939545]
Predicted rank: [0], ambiguousness: [[0.7721771  0.22782288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.91937911064308]
Predicted rank: [0], ambiguousness: [[0.72728086 0.27271912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.51796161072659]
Predicted rank: [0], ambiguousness: [[0.678784   0.32121602]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.99529941501515]
Predicted rank: [0], ambiguousness: [[0.65010166 0.34989837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.03575905691378]
Predicted rank: [0], ambiguousness: [[0.66947055 0.33052942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.0548372473582]
Predicted rank: [0], ambiguousness: [[0.8082333  0.19176668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.08626488440096]
Predicted rank: [0], ambiguousness: [[0.54370713 0.45629284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.63295343242274]
Predicted rank: [0], ambiguousness: [[0.6904805  0.30951953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.09903174579432]
Predicted rank: [0], ambiguousness: [[0.7405888  0.25941125]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.2328338017222]
Predicted rank: [0], ambiguousness: [[0.69492227 0.30507773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.32112550134258]
Predicted rank: [0], ambiguousness: [[0.7301149  0.26988512]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.75745944526439]
Predicted rank: [0], ambiguousness: [[0.5992477 0.4007523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.93850235348887]
Predicted rank: [0], ambiguousness: [[0.77443236 0.22556762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.10955665936459]
Predicted rank: [0], ambiguousness: [[0.8204658  0.17953418]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.19325663465622]
Predicted rank: [0], ambiguousness: [[0.86073744 0.13926253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.66245543454286]
Predicted rank: [0], ambiguousness: [[0.7412555  0.25874445]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.24446700366995]
Predicted rank: [0], ambiguousness: [[0.73557675 0.26442322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.3561688858619]
Predicted rank: [0], ambiguousness: [[0.8009046  0.19909541]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.82819541549087]
Predicted rank: [0], ambiguousness: [[0.750498   0.24950199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.42779984845106]
Predicted rank: [0], ambiguousness: [[0.7181375 0.2818625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.90450767104275]
Predicted rank: [0], ambiguousness: [[0.6835182  0.31648186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.9451087701588]
Predicted rank: [0], ambiguousness: [[0.7152165 0.2847835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.9642444671586]
Predicted rank: [0], ambiguousness: [[0.8169571  0.18304291]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.27475344261538]
Predicted rank: [0], ambiguousness: [[0.60084486 0.3991551 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.4072215637132]
Predicted rank: [0], ambiguousness: [[0.6611191  0.33888093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.00828309079436]
Predicted rank: [0], ambiguousness: [[0.7204334 0.2795666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.14956927241316]
Predicted rank: [0], ambiguousness: [[0.67822504 0.321775  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.24044129638293]
Predicted rank: [0], ambiguousness: [[0.6709732 0.3290268]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.6709384059867]
Predicted rank: [0], ambiguousness: [[0.54960686 0.45039314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.3365970500661]
Predicted rank: [0], ambiguousness: [[0.72752714 0.27247286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.62419662249644]
Predicted rank: [0], ambiguousness: [[0.7858851  0.21411487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.74143208970511]
Predicted rank: [0], ambiguousness: [[0.8231238  0.17687617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.12934205478062]
Predicted rank: [0], ambiguousness: [[0.69416094 0.3058391 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.03481213797053]
Predicted rank: [0], ambiguousness: [[0.7162801  0.28371993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.18510452314564]
Predicted rank: [0], ambiguousness: [[0.773884   0.22611599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.59279160542056]
Predicted rank: [0], ambiguousness: [[0.7292062 0.2707938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.29968699175262]
Predicted rank: [0], ambiguousness: [[0.68090147 0.31909853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.7164245554246]
Predicted rank: [0], ambiguousness: [[0.6523113  0.34768867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.77388994532392]
Predicted rank: [0], ambiguousness: [[0.6716198  0.32838026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.79957734948638]
Predicted rank: [0], ambiguousness: [[0.8067372 0.1932628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.80933131596925]
Predicted rank: [0], ambiguousness: [[0.6782904  0.32170957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.9579228972469]
Predicted rank: [0], ambiguousness: [[0.78940487 0.21059513]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.39159144140382]
Predicted rank: [0], ambiguousness: [[0.76406175 0.23593825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.11376677448547]
Predicted rank: [0], ambiguousness: [[0.82838106 0.17161892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.56195171123316]
Predicted rank: [0], ambiguousness: [[0.80999    0.19001003]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.617887286268]
Predicted rank: [0], ambiguousness: [[0.8410686  0.15893139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.642192172974]
Predicted rank: [0], ambiguousness: [[0.89583355 0.10416645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.24204020998114]
Predicted rank: [0], ambiguousness: [[0.68320984 0.31679016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.68706228164763]
Predicted rank: [0], ambiguousness: [[0.7080275 0.2919725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.77814475425083]
Predicted rank: [0], ambiguousness: [[0.7731945  0.22680552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.80603635067575]
Predicted rank: [0], ambiguousness: [[0.8888799  0.11112013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.8245618065219]
Predicted rank: [0], ambiguousness: [[0.65946686 0.34053317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.87733382515636]
Predicted rank: [0], ambiguousness: [[0.854022   0.14597796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.89310232186921]
Predicted rank: [0], ambiguousness: [[0.68170464 0.31829536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.02849592036614]
Predicted rank: [0], ambiguousness: [[0.5628352  0.43716478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.11100540990327]
Predicted rank: [0], ambiguousness: [[0.63390756 0.36609244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.78033541320102]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.9273933912393]
Predicted rank: [0], ambiguousness: [[0.6616456 0.3383544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.02051435265804]
Predicted rank: [0], ambiguousness: [[0.6542107  0.34578934]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.44481351368154]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.14046781816249]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.43781602864362]
Predicted rank: [0], ambiguousness: [[0.7991807  0.20081931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.55748632652391]
Predicted rank: [0], ambiguousness: [[0.84331506 0.15668495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.93958374769909]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.87182166678278]
Predicted rank: [0], ambiguousness: [[0.7444558 0.2555442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.02466428634293]
Predicted rank: [0], ambiguousness: [[0.8081621 0.1918379]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.42799723060196]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.14217898389114]
Predicted rank: [0], ambiguousness: [[0.7273851 0.2726149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.55485821848998]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.61343554954684]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.63955659107697]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.71821069709418]
Predicted rank: [0], ambiguousness: [[0.7087046  0.29129538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.86734801955492]
Predicted rank: [0], ambiguousness: [[0.8218716 0.1781284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.30016383681013]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.02410821010903]
Predicted rank: [0], ambiguousness: [[0.8500998  0.14990018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.47153807298338]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.52768602166549]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.55207127557142]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.15326795062816]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.59755981913688]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.6889621999481]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.7169385682943]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.73572361335394]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.78862663535318]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.80450081585876]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.35284884900284]
Predicted rank: [0], ambiguousness: [[0.7028813  0.29711872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.97733426492388]
Predicted rank: [0], ambiguousness: [[0.75125796 0.24874206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.11898666382551]
Predicted rank: [0], ambiguousness: [[0.7004483 0.2995517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.21001013087226]
Predicted rank: [0], ambiguousness: [[0.7224892  0.27751082]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.64018947340398]
Predicted rank: [0], ambiguousness: [[0.60225755 0.39774245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.84974941390143]
Predicted rank: [0], ambiguousness: [[0.7296341 0.2703659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.19985459485298]
Predicted rank: [0], ambiguousness: [[0.793762   0.20623797]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.3283827789547]
Predicted rank: [0], ambiguousness: [[0.79719025 0.20280974]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.69424444759674]
Predicted rank: [0], ambiguousness: [[0.66357523 0.33642477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.77371030960316]
Predicted rank: [0], ambiguousness: [[0.729414   0.27058598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.93241523148929]
Predicted rank: [0], ambiguousness: [[0.7605134  0.23948659]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.32865730538018]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.05715975751806]
Predicted rank: [0], ambiguousness: [[0.6247593  0.37524068]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.46348826059369]
Predicted rank: [0], ambiguousness: [[0.65423435 0.34576565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.52453688123589]
Predicted rank: [0], ambiguousness: [[0.6418872 0.3581128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.5514807175774]
Predicted rank: [0], ambiguousness: [[0.80901223 0.19098775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.02489586684285]
Predicted rank: [0], ambiguousness: [[0.6473934 0.3526066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.2442945697859]
Predicted rank: [0], ambiguousness: [[0.75226635 0.24773364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.57695963395878]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.51414721924877]
Predicted rank: [0], ambiguousness: [[0.8078146  0.19218543]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.87406829268987]
Predicted rank: [0], ambiguousness: [[0.7877841  0.21221593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.96145974967453]
Predicted rank: [0], ambiguousness: [[0.82169527 0.17830475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.99730866782721]
Predicted rank: [0], ambiguousness: [[0.8785714  0.12142864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.92201103099066]
Predicted rank: [0], ambiguousness: [[0.6931137 0.3068863]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.29473517539425]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.42643002875627]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.46416344653687]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.51517302555251]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.58317479191535]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.61235687767953]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.69977117641608]
Predicted rank: [0], ambiguousness: [[0.6535226  0.34647742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.09915008918296]
Predicted rank: [0], ambiguousness: [[0.6795752 0.3204248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.2307768781322]
Predicted rank: [0], ambiguousness: [[0.79633766 0.20366235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.26836593478428]
Predicted rank: [0], ambiguousness: [[0.90682876 0.09317122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.370319200774]
Predicted rank: [0], ambiguousness: [[0.82998466 0.1700153 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.43618197161906]
Predicted rank: [0], ambiguousness: [[0.92734236 0.07265767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.4654500956167]
Predicted rank: [0], ambiguousness: [[0.8528167 0.1471833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.48259879098816]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.55728717541365]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.62238145262461]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.65719540199964]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.01503757353765]
Predicted rank: [0], ambiguousness: [[0.66244686 0.33755317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.72785843331485]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.8756018305931]
Predicted rank: [0], ambiguousness: [[0.65632725 0.34367278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.96900623996851]
Predicted rank: [0], ambiguousness: [[0.6801319  0.31986806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.3927119585141]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.52526490410904]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.902262391497]
Predicted rank: [0], ambiguousness: [[0.76536655 0.23463346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.0363027737381]
Predicted rank: [0], ambiguousness: [[0.7691296  0.23087044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.39045700974171]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.54594606521576]
Predicted rank: [0], ambiguousness: [[0.70485115 0.29514882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.70938016841532]
Predicted rank: [0], ambiguousness: [[0.7377587 0.2622413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.09840524445283]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.83961992520437]
Predicted rank: [0], ambiguousness: [[0.5959587  0.40404132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.23928995852219]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.30237806344044]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.33007748336685]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.8281088977746]
Predicted rank: [0], ambiguousness: [[0.6692116  0.33078837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.0528622742766]
Predicted rank: [0], ambiguousness: [[0.7811396  0.21886042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.37820712770478]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.33225101857315]
Predicted rank: [0], ambiguousness: [[0.8250444  0.17495564]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.68591593029078]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.77558373802555]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.81225795931664]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.7638143026395]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.13170200152265]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.26604589544951]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.30442759605597]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.3576707417454]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.42666669798007]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.4567202692017]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.6145072502434]
Predicted rank: [0], ambiguousness: [[0.6777179  0.32228208]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.0129292643521]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.14513169125598]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.18285606987394]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.28564903097431]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.35170048914321]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.38113696588765]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.39882209128695]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.4737152216386]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.53909143067011]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.57423925236553]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.79154357669438]
Predicted rank: [0], ambiguousness: [[0.7398963  0.26010367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.14985960796724]
Predicted rank: [0], ambiguousness: [[0.79634666 0.20365335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.27957257261511]
Predicted rank: [0], ambiguousness: [[0.8321545  0.16784552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.64341120452482]
Predicted rank: [0], ambiguousness: [[0.7074357 0.2925643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.74833131038476]
Predicted rank: [0], ambiguousness: [[0.74064124 0.25935873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.90738201110747]
Predicted rank: [0], ambiguousness: [[0.7947167 0.2052833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.30324167833777]
Predicted rank: [0], ambiguousness: [[0.75284046 0.24715953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.032473441128]
Predicted rank: [0], ambiguousness: [[0.707058 0.292942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.43845658494742]
Predicted rank: [0], ambiguousness: [[0.6797091  0.32029095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.49965195269878]
Predicted rank: [0], ambiguousness: [[0.69819987 0.3018001 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.52664505621348]
Predicted rank: [0], ambiguousness: [[0.8201994  0.17980066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.50688709716052]
Predicted rank: [0], ambiguousness: [[0.6518122  0.34818777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.75608143298894]
Predicted rank: [0], ambiguousness: [[0.72902954 0.27097046]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.0577852127881]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.08815014980048]
Predicted rank: [0], ambiguousness: [[0.7403225  0.25967756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.42410442724241]
Predicted rank: [0], ambiguousness: [[0.7783096  0.22169039]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.52253622277189]
Predicted rank: [0], ambiguousness: [[0.7783043  0.22169572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.56208919362581]
Predicted rank: [0], ambiguousness: [[0.8685261  0.13147391]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.66260759505957]
Predicted rank: [0], ambiguousness: [[0.6843416 0.3156584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.02237156998683]
Predicted rank: [0], ambiguousness: [[0.7097795  0.29022053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.1631515525142]
Predicted rank: [0], ambiguousness: [[0.7492248  0.25077522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.20284620212976]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.26221303558495]
Predicted rank: [0], ambiguousness: [[0.5880046  0.41199544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.33312623408007]
Predicted rank: [0], ambiguousness: [[0.8624835  0.13751648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.36529215847744]
Predicted rank: [0], ambiguousness: [[0.66644716 0.33355284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.88301996402566]
Predicted rank: [0], ambiguousness: [[0.6106582  0.38934177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.16832771321461]
Predicted rank: [0], ambiguousness: [[0.6381494  0.36185062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.37486724153123]
Predicted rank: [0], ambiguousness: [[0.7515321  0.24846795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.43105303867836]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.63380724409019]
Predicted rank: [0], ambiguousness: [[0.8023488 0.1976512]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.72722970112159]
Predicted rank: [0], ambiguousness: [[0.91388994 0.08611004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.78247045111024]
Predicted rank: [0], ambiguousness: [[0.82812357 0.17187645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.04823110966004]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.1479530026751]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.2500437008346]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.32611418780414]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.85962891514222]
Predicted rank: [0], ambiguousness: [[0.6443509  0.35564908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.9582099306742]
Predicted rank: [0], ambiguousness: [[0.86467075 0.13532925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.06115839298576]
Predicted rank: [0], ambiguousness: [[0.8280221 0.1719779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.19130387787934]
Predicted rank: [0], ambiguousness: [[0.82728004 0.17271993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.29517581907649]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.44068540647311]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.83146991332065]
Predicted rank: [0], ambiguousness: [[0.7643677  0.23563233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.9674430745953]
Predicted rank: [0], ambiguousness: [[0.8044174  0.19558266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.31838915561109]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.51707697448589]
Predicted rank: [0], ambiguousness: [[0.69990385 0.30009615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.68095521030185]
Predicted rank: [0], ambiguousness: [[0.7597173  0.24028271]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.06957315087793]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.81160988813154]
Predicted rank: [0], ambiguousness: [[0.66344273 0.3365573 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.21091828344449]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.27419352139366]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.30195277563678]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.19336339431679]
Predicted rank: [0], ambiguousness: [[0.6238378 0.3761622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.45548122735514]
Predicted rank: [0], ambiguousness: [[0.70444596 0.29555407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.74216939852772]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.81306723703722]
Predicted rank: [0], ambiguousness: [[0.7072826 0.2927174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.13687180438228]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.24038255711928]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.28169479070303]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.45574772666365]
Predicted rank: [0], ambiguousness: [[0.6576078  0.34239218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.80775968598311]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.95334913462263]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.99414669424776]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.05766339325406]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.13024860099377]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.16399685114786]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.70556876745842]
Predicted rank: [0], ambiguousness: [[0.6361805 0.3638195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.98290476057579]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.19491213168374]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.2524255271426]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.4636099506844]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.55892595518665]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.61597752541185]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.90283102386036]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.00411662047489]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.10851387495626]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.18728792574063]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.79040041966775]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.88930379390753]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.99275520081235]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.12384161896601]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.22855520943932]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.46039886417685]
Predicted rank: [0], ambiguousness: [[0.6492412 0.3507588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.71297842048848]
Predicted rank: [0], ambiguousness: [[0.7537736  0.24622639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.01167049200073]
Predicted rank: [0], ambiguousness: [[0.73978615 0.26021382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.05307729893781]
Predicted rank: [0], ambiguousness: [[0.802136 0.197864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.38693114811414]
Predicted rank: [0], ambiguousness: [[0.78167367 0.21832632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.4865049388957]
Predicted rank: [0], ambiguousness: [[0.81633353 0.18366644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.52642777951199]
Predicted rank: [0], ambiguousness: [[0.8746591 0.1253409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.6522429449348]
Predicted rank: [0], ambiguousness: [[0.7073864 0.2926136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.01164542002843]
Predicted rank: [0], ambiguousness: [[0.7310556  0.26894438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.15276635627086]
Predicted rank: [0], ambiguousness: [[0.7925885 0.2074115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.19252625676464]
Predicted rank: [0], ambiguousness: [[0.8965108  0.10348923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.252124461953]
Predicted rank: [0], ambiguousness: [[0.68461895 0.31538108]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.3231397329339]
Predicted rank: [0], ambiguousness: [[0.86367965 0.13632038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.35541819726046]
Predicted rank: [0], ambiguousness: [[0.7059466  0.29405338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.36668134308374]
Predicted rank: [0], ambiguousness: [[0.59871185 0.40128815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.61591294199567]
Predicted rank: [0], ambiguousness: [[0.62729216 0.37270787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.8552524878897]
Predicted rank: [0], ambiguousness: [[0.714967   0.28503302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.91844859613252]
Predicted rank: [0], ambiguousness: [[0.88943166 0.11056832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.18269028936152]
Predicted rank: [0], ambiguousness: [[0.7114421  0.28855786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.28514749256561]
Predicted rank: [0], ambiguousness: [[0.9128165  0.08718346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.34989896215947]
Predicted rank: [0], ambiguousness: [[0.7874269 0.2125731]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.78160294139232]
Predicted rank: [0], ambiguousness: [[0.66092056 0.33907944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.88645442283578]
Predicted rank: [0], ambiguousness: [[0.8893011  0.11069886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.99701891013078]
Predicted rank: [0], ambiguousness: [[0.7794603  0.22053969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.08329476058138]
Predicted rank: [0], ambiguousness: [[0.6068655 0.3931345]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.85938835972755]
Predicted rank: [0], ambiguousness: [[0.5988704  0.40112957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.00403716873446]
Predicted rank: [0], ambiguousness: [[0.84038556 0.15961441]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.17558860009422]
Predicted rank: [0], ambiguousness: [[0.7986914 0.2013086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.42541845540032]
Predicted rank: [0], ambiguousness: [[0.79061824 0.20938177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.83738593760377]
Predicted rank: [0], ambiguousness: [[0.67560637 0.32439366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.65563608305635]
Predicted rank: [0], ambiguousness: [[0.6349462 0.3650538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.25511657124213]
Predicted rank: [0], ambiguousness: [[0.618268 0.381732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.51806166258056]
Predicted rank: [0], ambiguousness: [[0.7281662 0.2718338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 103.80555950970701]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.87964836120523]
Predicted rank: [0], ambiguousness: [[0.78009087 0.21990913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.20473129009629]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.30825270641935]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.34951792674343]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.53927826665259]
Predicted rank: [0], ambiguousness: [[0.66581535 0.33418462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.893924523705]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.03823135568297]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.0786994882311]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.14103925410573]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.21312524137394]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.24645338228457]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.19776493070962]
Predicted rank: [0], ambiguousness: [[0.5715101  0.42848992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.43616851281213]
Predicted rank: [0], ambiguousness: [[0.61118215 0.38881785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.68461247358411]
Predicted rank: [0], ambiguousness: [[0.7008394  0.29916063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.74983870988899]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.03034256157687]
Predicted rank: [0], ambiguousness: [[0.69721377 0.3027862 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.13551070281198]
Predicted rank: [0], ambiguousness: [[0.903474   0.09652603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.20304217633738]
Predicted rank: [0], ambiguousness: [[0.76806176 0.23193823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.67981825985115]
Predicted rank: [0], ambiguousness: [[0.6454426 0.3545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.78638858212122]
Predicted rank: [0], ambiguousness: [[0.877776   0.12222395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.89968964435445]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.98915707857489]
Predicted rank: [0], ambiguousness: [[0.5798286 0.4201714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.78248869413468]
Predicted rank: [0], ambiguousness: [[0.6369884 0.3630116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.92897568912787]
Predicted rank: [0], ambiguousness: [[0.8541065  0.14589351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.10338078828313]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.35891573945429]
Predicted rank: [0], ambiguousness: [[0.8107974 0.1892026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.78625336201199]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.65336909698233]
Predicted rank: [0], ambiguousness: [[0.65237    0.34763005]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.40767618025265]
Predicted rank: [0], ambiguousness: [[0.59961224 0.40038773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.65675797364032]
Predicted rank: [0], ambiguousness: [[0.62740743 0.37259254]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 103.89738820200884]
Predicted rank: [0], ambiguousness: [[0.74279946 0.25720054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 103.96077757695316]
Predicted rank: [0], ambiguousness: [[0.88542163 0.11457834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.22912752387475]
Predicted rank: [0], ambiguousness: [[0.78760207 0.21239792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.3317078628115]
Predicted rank: [0], ambiguousness: [[0.9064955  0.09350449]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.39668822026671]
Predicted rank: [0], ambiguousness: [[0.8148562  0.18514386]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.84403726640926]
Predicted rank: [0], ambiguousness: [[0.68742955 0.31257048]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.94846592286774]
Predicted rank: [0], ambiguousness: [[0.88579273 0.11420725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.05845917527282]
Predicted rank: [0], ambiguousness: [[0.8023215  0.19767852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.1439886141903]
Predicted rank: [0], ambiguousness: [[0.6782497 0.3217503]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.36791425758479]
Predicted rank: [0], ambiguousness: [[0.5726223 0.4273777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.52923356069431]
Predicted rank: [0], ambiguousness: [[0.84667814 0.15332188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.7296487270773]
Predicted rank: [0], ambiguousness: [[0.77770114 0.22229883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.04533628890923]
Predicted rank: [0], ambiguousness: [[0.7182193  0.28178075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.63659719231964]
Predicted rank: [0], ambiguousness: [[0.66551054 0.3344895 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.66626018998235]
Predicted rank: [0], ambiguousness: [[0.57802755 0.42197245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.76132917064457]
Predicted rank: [0], ambiguousness: [[0.6036036  0.39639637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.02456973832788]
Predicted rank: [0], ambiguousness: [[0.62327754 0.37672243]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.25717849202528]
Predicted rank: [0], ambiguousness: [[0.7655308  0.23446919]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.31854126695734]
Predicted rank: [0], ambiguousness: [[0.8985428  0.10145718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.57614803442686]
Predicted rank: [0], ambiguousness: [[0.80094016 0.19905981]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.67573637562884]
Predicted rank: [0], ambiguousness: [[0.90615845 0.09384157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.73809148549525]
Predicted rank: [0], ambiguousness: [[0.8111509  0.18884908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.16609741663517]
Predicted rank: [0], ambiguousness: [[0.7007562 0.2992438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.26762727693824]
Predicted rank: [0], ambiguousness: [[0.8791702  0.12082981]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.3736847335101]
Predicted rank: [0], ambiguousness: [[0.79537225 0.20462775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.45485304418628]
Predicted rank: [0], ambiguousness: [[0.6687396  0.33126038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.7556259163521]
Predicted rank: [0], ambiguousness: [[0.6069386 0.3930614]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.91165567296773]
Predicted rank: [0], ambiguousness: [[0.8486484  0.15135154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.10428222098086]
Predicted rank: [0], ambiguousness: [[0.7838427  0.21615733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.40584291266164]
Predicted rank: [0], ambiguousness: [[0.717177   0.28282303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.96751891918758]
Predicted rank: [0], ambiguousness: [[0.67345 0.32655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.04051432676076]
Predicted rank: [0], ambiguousness: [[0.619866 0.380134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.86287513871625]
Predicted rank: [0], ambiguousness: [[0.5854864  0.41451362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.0168788877577]
Predicted rank: [0], ambiguousness: [[0.8266293  0.17337075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.2064049198961]
Predicted rank: [0], ambiguousness: [[0.7822727  0.21772733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.50236683359176]
Predicted rank: [0], ambiguousness: [[0.77372754 0.22627246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.0513880496871]
Predicted rank: [0], ambiguousness: [[0.66694057 0.33305946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.62015179759928]
Predicted rank: [0], ambiguousness: [[0.5748209  0.42517915]]
Running local search 9
Switching 9 patient(s). Size of neighborhood: 167960
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.912151812806]
Predicted rank: [0], ambiguousness: [[0.6456202 0.3543798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.7441212692258]
Predicted rank: [0], ambiguousness: [[0.68710595 0.31289405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.07865041700643]
Predicted rank: [0], ambiguousness: [[0.6725421 0.3274579]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.3705159258875]
Predicted rank: [0], ambiguousness: [[0.8007133  0.19928673]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.61741928159124]
Predicted rank: [0], ambiguousness: [[0.7895225 0.2104775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.74085685725123]
Predicted rank: [0], ambiguousness: [[0.709306 0.290694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.83604302623817]
Predicted rank: [0], ambiguousness: [[0.77231103 0.22768897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.15701088787763]
Predicted rank: [0], ambiguousness: [[0.5448646 0.4551354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.78480260510364]
Predicted rank: [0], ambiguousness: [[0.6904607  0.30953932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.20164575653448]
Predicted rank: [0], ambiguousness: [[0.8039293  0.19607066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.4503795268561]
Predicted rank: [0], ambiguousness: [[0.80291575 0.19708425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.57453532809244]
Predicted rank: [0], ambiguousness: [[0.731979   0.26802102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.67003986439768]
Predicted rank: [0], ambiguousness: [[0.80196804 0.19803195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.989868142608]
Predicted rank: [0], ambiguousness: [[0.58358556 0.41641444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.69169670925399]
Predicted rank: [0], ambiguousness: [[0.6802169 0.3197831]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.98013356440994]
Predicted rank: [0], ambiguousness: [[0.7724029  0.22759715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.66936387874017]
Predicted rank: [0], ambiguousness: [[0.7921114  0.20788859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.8645127300621]
Predicted rank: [0], ambiguousness: [[0.7125223  0.28747767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.98976853006616]
Predicted rank: [0], ambiguousness: [[0.77505136 0.22494867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.22052817422691]
Predicted rank: [0], ambiguousness: [[0.5564678  0.44353226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.92088013628933]
Predicted rank: [0], ambiguousness: [[0.8208592  0.17914084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.17013437317512]
Predicted rank: [0], ambiguousness: [[0.84892464 0.15107535]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.28806924281103]
Predicted rank: [0], ambiguousness: [[0.8942808  0.10571921]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.569286346547]
Predicted rank: [0], ambiguousness: [[0.7332425  0.26675746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.3754870169615]
Predicted rank: [0], ambiguousness: [[0.77947176 0.22052827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.53256922699117]
Predicted rank: [0], ambiguousness: [[0.8300472  0.16995281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.81893995720489]
Predicted rank: [0], ambiguousness: [[0.7162179  0.28378212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.63734088897013]
Predicted rank: [0], ambiguousness: [[0.73229516 0.26770484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.9308178267946]
Predicted rank: [0], ambiguousness: [[0.63746846 0.36253154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.98907274595697]
Predicted rank: [0], ambiguousness: [[0.6571679  0.34283206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.01630741536384]
Predicted rank: [0], ambiguousness: [[0.79574126 0.20425875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.28241806568067]
Predicted rank: [0], ambiguousness: [[0.67062753 0.32937247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.63860828443322]
Predicted rank: [0], ambiguousness: [[0.7865002  0.21349978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.37236754208239]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.57342502543983]
Predicted rank: [0], ambiguousness: [[0.7468887 0.2531113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.70109533810896]
Predicted rank: [0], ambiguousness: [[0.8139738  0.18602619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.92447448793678]
Predicted rank: [0], ambiguousness: [[0.5947566 0.4052434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.75595641580759]
Predicted rank: [0], ambiguousness: [[0.84110844 0.15889159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.0069787741503]
Predicted rank: [0], ambiguousness: [[0.8627501 0.1372499]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.1253654589222]
Predicted rank: [0], ambiguousness: [[0.90985996 0.09014004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.40522219671745]
Predicted rank: [0], ambiguousness: [[0.7513212  0.24867879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.21401150998565]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.37169879538135]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.65678889899584]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.47714645403953]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.7694080566707]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.82793074849135]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.8552738787262]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.64458532693897]
Predicted rank: [0], ambiguousness: [[0.7088534  0.29114658]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.30989161754276]
Predicted rank: [0], ambiguousness: [[0.785941   0.21405897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.26199117598841]
Predicted rank: [0], ambiguousness: [[0.8076036  0.19239639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.47469600746808]
Predicted rank: [0], ambiguousness: [[0.7319385 0.2680615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.60635440181136]
Predicted rank: [0], ambiguousness: [[0.77701205 0.22298793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.82080754359535]
Predicted rank: [0], ambiguousness: [[0.5449819 0.4550181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.27406045767364]
Predicted rank: [0], ambiguousness: [[0.8045691  0.19543085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.70913776868693]
Predicted rank: [0], ambiguousness: [[0.83467275 0.16532727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.88030661224374]
Predicted rank: [0], ambiguousness: [[0.8837215  0.11627852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.03024852523745]
Predicted rank: [0], ambiguousness: [[0.7053304  0.29466963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.35339017673451]
Predicted rank: [0], ambiguousness: [[0.79248846 0.20751151]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.57153545817951]
Predicted rank: [0], ambiguousness: [[0.8406888  0.15931118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.75417593459272]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.74406512485551]
Predicted rank: [0], ambiguousness: [[0.74719334 0.25280663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.94077827150286]
Predicted rank: [0], ambiguousness: [[0.6480657 0.3519343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.02567215033662]
Predicted rank: [0], ambiguousness: [[0.6674897 0.3325103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.06323675908388]
Predicted rank: [0], ambiguousness: [[0.79763395 0.20236604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.6161873523265]
Predicted rank: [0], ambiguousness: [[0.76130253 0.23869748]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.82807828010894]
Predicted rank: [0], ambiguousness: [[0.8524981  0.14750187]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.05628623461236]
Predicted rank: [0], ambiguousness: [[0.76068    0.23931997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.05774330717469]
Predicted rank: [0], ambiguousness: [[0.8680812  0.13191877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.30784538496118]
Predicted rank: [0], ambiguousness: [[0.81252134 0.18747868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.38868449126076]
Predicted rank: [0], ambiguousness: [[0.8466122  0.15338778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.42353973502911]
Predicted rank: [0], ambiguousness: [[0.8971751  0.10282492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.25540231786923]
Predicted rank: [0], ambiguousness: [[0.7771956  0.22280443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.50212927716257]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.63257790116468]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.67228834787124]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.70370717326992]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.77798131548045]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.80238895006418]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.19942715999639]
Predicted rank: [0], ambiguousness: [[0.6759224 0.3240776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.76813832717531]
Predicted rank: [0], ambiguousness: [[0.7567987 0.2432013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.85102167306566]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.07476952105468]
Predicted rank: [0], ambiguousness: [[0.707513   0.29248706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.21074688279451]
Predicted rank: [0], ambiguousness: [[0.75532067 0.24467936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.41310591667485]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.92271151917237]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.37644595836153]
Predicted rank: [0], ambiguousness: [[0.83940965 0.16059034]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.55227923854042]
Predicted rank: [0], ambiguousness: [[0.89354235 0.10645764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.69089867513992]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.06542592960741]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.28845426055258]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.46262021585956]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.46657612571407]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.65538543090085]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.74240447056837]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.78079578926602]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.46520103674094]
Predicted rank: [0], ambiguousness: [[0.7784841  0.22151592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.67812648998813]
Predicted rank: [0], ambiguousness: [[0.87168205 0.12831795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.90469102610325]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.90952301931108]
Predicted rank: [0], ambiguousness: [[0.8807059  0.11929409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.15816902183528]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.23940991255951]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.27441681261504]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.10884634303002]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.3541646637636]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.48521994752302]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.52509047554548]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.55699901443228]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.63152157433512]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.65612814829144]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.23614789754814]
Predicted rank: [0], ambiguousness: [[0.7885976 0.2114024]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.22878358794938]
Predicted rank: [0], ambiguousness: [[0.81640327 0.18359675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.44211561922211]
Predicted rank: [0], ambiguousness: [[0.7430979 0.2569021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.5740348795764]
Predicted rank: [0], ambiguousness: [[0.8008354  0.19916463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.7879312551178]
Predicted rank: [0], ambiguousness: [[0.586632   0.41336802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.48847713495645]
Predicted rank: [0], ambiguousness: [[0.8076036  0.19239639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.02755954542967]
Predicted rank: [0], ambiguousness: [[0.8348521  0.16514787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.21755735287164]
Predicted rank: [0], ambiguousness: [[0.8747824  0.12521762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.3300915946968]
Predicted rank: [0], ambiguousness: [[0.66513896 0.33486104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.94302447146518]
Predicted rank: [0], ambiguousness: [[0.7956629 0.2043371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.17519923738482]
Predicted rank: [0], ambiguousness: [[0.83163273 0.16836725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.33843985204962]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.3645910893579]
Predicted rank: [0], ambiguousness: [[0.73849726 0.26150277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.54364739768312]
Predicted rank: [0], ambiguousness: [[0.6394282 0.3605718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.63451170755312]
Predicted rank: [0], ambiguousness: [[0.6268538  0.37314618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.67416469315367]
Predicted rank: [0], ambiguousness: [[0.79811335 0.20188668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.8389002916882]
Predicted rank: [0], ambiguousness: [[0.72618544 0.27381456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.1626202893715]
Predicted rank: [0], ambiguousness: [[0.8172118 0.1827882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.22886325273238]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.57265756924716]
Predicted rank: [0], ambiguousness: [[0.84548503 0.15451497]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.68122834951633]
Predicted rank: [0], ambiguousness: [[0.78278965 0.21721037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.81161636571224]
Predicted rank: [0], ambiguousness: [[0.8210965 0.1789035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.86462542794827]
Predicted rank: [0], ambiguousness: [[0.8788669 0.1211331]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.21407308448917]
Predicted rank: [0], ambiguousness: [[0.7771956  0.22280443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.34523355565001]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.53945798021036]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.59457782262037]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.67680191827243]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.7750041810205]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.82034401738964]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.48383054409875]
Predicted rank: [0], ambiguousness: [[0.7444524  0.25554758]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.66230876740093]
Predicted rank: [0], ambiguousness: [[0.665299 0.334701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.8526161419003]
Predicted rank: [0], ambiguousness: [[0.7856226  0.21437739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.90654708525548]
Predicted rank: [0], ambiguousness: [[0.90082765 0.09917238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.06162320006837]
Predicted rank: [0], ambiguousness: [[0.8257637  0.17423627]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.15505813605468]
Predicted rank: [0], ambiguousness: [[0.9250275  0.07497253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.19913295634784]
Predicted rank: [0], ambiguousness: [[0.8523037  0.14769632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.23854711016352]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.34404241243863]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.43881785695658]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.49413351535665]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.66692024060895]
Predicted rank: [0], ambiguousness: [[0.7644784  0.23552163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.82051505364379]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.04490958318254]
Predicted rank: [0], ambiguousness: [[0.7124691  0.28753093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.1811695267686]
Predicted rank: [0], ambiguousness: [[0.77500594 0.22499403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.38307995082724]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.942340184309]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.53041664409747]
Predicted rank: [0], ambiguousness: [[0.8107654  0.18923461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.73046675199242]
Predicted rank: [0], ambiguousness: [[0.85551155 0.14448847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.82129089701704]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.57291064499037]
Predicted rank: [0], ambiguousness: [[0.775261 0.224739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.81370423091798]
Predicted rank: [0], ambiguousness: [[0.8139826  0.18601741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.96358201197789]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.01306866736536]
Predicted rank: [0], ambiguousness: [[0.7144361 0.2855639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.17978873723959]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.27436467500027]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.31538926248194]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.52389018120394]
Predicted rank: [0], ambiguousness: [[0.74504817 0.2549518 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.85735067539485]
Predicted rank: [0], ambiguousness: [[0.84012437 0.15987563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.91005745362554]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.2847011811777]
Predicted rank: [0], ambiguousness: [[0.85992324 0.14007677]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.38169617988376]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.51621872775829]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.57072481586735]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.96913250467753]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.09135277487803]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.29039326792596]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.34668757052275]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.43295158346393]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.53296166350724]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.57987599286967]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.37104524325727]
Predicted rank: [0], ambiguousness: [[0.76458526 0.23541471]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.5477924082607]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.73912618839212]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.7932973137091]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.94986766997837]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.04363844359898]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.08801127380835]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.12836235154971]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.23422252410828]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.32949963804745]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.38540740743292]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.43254334248152]
Predicted rank: [0], ambiguousness: [[0.8058403  0.19415969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.98539221544333]
Predicted rank: [0], ambiguousness: [[0.8296204  0.17037958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.17733941049005]
Predicted rank: [0], ambiguousness: [[0.8799525  0.12004749]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.28654551938435]
Predicted rank: [0], ambiguousness: [[0.69775665 0.30224332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.94224709775187]
Predicted rank: [0], ambiguousness: [[0.80345005 0.19654995]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.17491894787968]
Predicted rank: [0], ambiguousness: [[0.84958756 0.15041246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.3376559172524]
Predicted rank: [0], ambiguousness: [[0.7388383 0.2611617]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.36479242879338]
Predicted rank: [0], ambiguousness: [[0.7598225  0.24017754]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.54339798407193]
Predicted rank: [0], ambiguousness: [[0.663416   0.33658394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.63447225015264]
Predicted rank: [0], ambiguousness: [[0.68240803 0.31759197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.67419377613095]
Predicted rank: [0], ambiguousness: [[0.8083894  0.19161054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.02617522181023]
Predicted rank: [0], ambiguousness: [[0.7282395  0.27176052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.39935852302825]
Predicted rank: [0], ambiguousness: [[0.8057132  0.19428684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.41333639619411]
Predicted rank: [0], ambiguousness: [[0.7048072  0.29519278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.91245891859987]
Predicted rank: [0], ambiguousness: [[0.8295785  0.17042145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.98054792927198]
Predicted rank: [0], ambiguousness: [[0.76366585 0.23633416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.12924416469974]
Predicted rank: [0], ambiguousness: [[0.76823896 0.23176105]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.18839050129495]
Predicted rank: [0], ambiguousness: [[0.86264396 0.13735604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.82955928326095]
Predicted rank: [0], ambiguousness: [[0.77804875 0.22195122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.93889283673866]
Predicted rank: [0], ambiguousness: [[0.69432825 0.30567175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.14818490897161]
Predicted rank: [0], ambiguousness: [[0.73508984 0.26491016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.20654487345894]
Predicted rank: [0], ambiguousness: [[0.88245517 0.11754482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.30254533542792]
Predicted rank: [0], ambiguousness: [[0.5699978  0.43000218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.40557368218715]
Predicted rank: [0], ambiguousness: [[0.8529531  0.14704692]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.45583952611946]
Predicted rank: [0], ambiguousness: [[0.6498272  0.35017282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.67912847906842]
Predicted rank: [0], ambiguousness: [[0.70593077 0.29406923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.67451036514223]
Predicted rank: [0], ambiguousness: [[0.6209213 0.3790787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.98312221986896]
Predicted rank: [0], ambiguousness: [[0.7374816 0.2625184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.06634296101686]
Predicted rank: [0], ambiguousness: [[0.8821465  0.11785349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.3810989023277]
Predicted rank: [0], ambiguousness: [[0.7888622 0.2111378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.51803624998031]
Predicted rank: [0], ambiguousness: [[0.90677565 0.09322436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.60287087417953]
Predicted rank: [0], ambiguousness: [[0.8197964  0.18020362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.03800898324894]
Predicted rank: [0], ambiguousness: [[0.66831553 0.3316845 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.18283704069168]
Predicted rank: [0], ambiguousness: [[0.8761728  0.12382724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.33557884756144]
Predicted rank: [0], ambiguousness: [[0.7880673  0.21193273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.45535104359226]
Predicted rank: [0], ambiguousness: [[0.65885293 0.34114707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.36875511608656]
Predicted rank: [0], ambiguousness: [[0.62724566 0.37275434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.509434686217]
Predicted rank: [0], ambiguousness: [[0.85526645 0.14473356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.66007132525725]
Predicted rank: [0], ambiguousness: [[0.8172452  0.18275481]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.85658740409474]
Predicted rank: [0], ambiguousness: [[0.81510264 0.18489738]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.02215950649176]
Predicted rank: [0], ambiguousness: [[0.6612415  0.33875853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.1169826407091]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.70823647236514]
Predicted rank: [0], ambiguousness: [[0.81715274 0.18284729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.90734004365208]
Predicted rank: [0], ambiguousness: [[0.87059337 0.12940662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.00217303141656]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.77060131787553]
Predicted rank: [0], ambiguousness: [[0.77942705 0.22057295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.00843146936975]
Predicted rank: [0], ambiguousness: [[0.83001053 0.16998947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.16382667634096]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.20426396696912]
Predicted rank: [0], ambiguousness: [[0.7322442 0.2677558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.37614809269266]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.46943331863288]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.50995038268528]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.76047400966041]
Predicted rank: [0], ambiguousness: [[0.70549905 0.29450098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.14828377402844]
Predicted rank: [0], ambiguousness: [[0.78756446 0.21243556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.14572099086745]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.69079305350273]
Predicted rank: [0], ambiguousness: [[0.8131421  0.18685786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.74570757871079]
Predicted rank: [0], ambiguousness: [[0.75111175 0.24888824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.9000892844921]
Predicted rank: [0], ambiguousness: [[0.7558501  0.24414991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.96118067444425]
Predicted rank: [0], ambiguousness: [[0.8488154  0.15118463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.68854916732775]
Predicted rank: [0], ambiguousness: [[0.7580918  0.24190822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.7901029736373]
Predicted rank: [0], ambiguousness: [[0.67963606 0.32036394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.00449838717775]
Predicted rank: [0], ambiguousness: [[0.7215712 0.2784288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.06399369918903]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.1644415338864]
Predicted rank: [0], ambiguousness: [[0.55317545 0.44682458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.26918621397951]
Predicted rank: [0], ambiguousness: [[0.8383317 0.1616683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.32112527366081]
Predicted rank: [0], ambiguousness: [[0.62391376 0.37608624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.58322385082161]
Predicted rank: [0], ambiguousness: [[0.7297797  0.27022025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.57132251399852]
Predicted rank: [0], ambiguousness: [[0.6554973 0.3445027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.8851539403471]
Predicted rank: [0], ambiguousness: [[0.77683467 0.22316533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.96962414518677]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.29269417914298]
Predicted rank: [0], ambiguousness: [[0.82203597 0.17796405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.43140179741164]
Predicted rank: [0], ambiguousness: [[0.91395825 0.08604177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.51796231879324]
Predicted rank: [0], ambiguousness: [[0.83558965 0.16441037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.97538866485272]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.12159750966757]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.27643576288771]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.39869340633877]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.3884482869158]
Predicted rank: [0], ambiguousness: [[0.6641793 0.3358207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.52907684413105]
Predicted rank: [0], ambiguousness: [[0.8679092 0.1320908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.67970017997548]
Predicted rank: [0], ambiguousness: [[0.8357048  0.16429523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.87623175789705]
Predicted rank: [0], ambiguousness: [[0.83341926 0.16658072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.04145954362863]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.14387317942524]
Predicted rank: [0], ambiguousness: [[0.7168976  0.28310242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.5178522680281]
Predicted rank: [0], ambiguousness: [[0.8102046  0.18979539]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.53322757022886]
Predicted rank: [0], ambiguousness: [[0.7162025 0.2837975]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.0353778662982]
Predicted rank: [0], ambiguousness: [[0.833288   0.16671197]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.10539778044875]
Predicted rank: [0], ambiguousness: [[0.7670074 0.2329926]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.25403631232606]
Predicted rank: [0], ambiguousness: [[0.80741286 0.19258715]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.31309650226214]
Predicted rank: [0], ambiguousness: [[0.86889637 0.13110365]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.97185435192807]
Predicted rank: [0], ambiguousness: [[0.7795543 0.2204457]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.08472475537393]
Predicted rank: [0], ambiguousness: [[0.70699406 0.29300594]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.29243205209245]
Predicted rank: [0], ambiguousness: [[0.7723175  0.22768249]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.35037514548915]
Predicted rank: [0], ambiguousness: [[0.88448936 0.11551066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.44498912714991]
Predicted rank: [0], ambiguousness: [[0.6583444  0.34165558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.54737628647456]
Predicted rank: [0], ambiguousness: [[0.848489   0.15151103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.59712774603196]
Predicted rank: [0], ambiguousness: [[0.6806201  0.31937993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.02078585852186]
Predicted rank: [0], ambiguousness: [[0.70671666 0.2932833 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.96223907339004]
Predicted rank: [0], ambiguousness: [[0.60959065 0.39040932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.32041356400771]
Predicted rank: [0], ambiguousness: [[0.6994344 0.3005656]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.41410378439755]
Predicted rank: [0], ambiguousness: [[0.88139254 0.11860744]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.82288962745164]
Predicted rank: [0], ambiguousness: [[0.7031977 0.2968023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.97323711536137]
Predicted rank: [0], ambiguousness: [[0.90924525 0.09075473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.07226034336448]
Predicted rank: [0], ambiguousness: [[0.7850259 0.2149741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.76325053431239]
Predicted rank: [0], ambiguousness: [[0.64390963 0.35609037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.91531429559933]
Predicted rank: [0], ambiguousness: [[0.8812538  0.11874621]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.08022540618973]
Predicted rank: [0], ambiguousness: [[0.76629335 0.23370664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.2146656752069]
Predicted rank: [0], ambiguousness: [[0.5888298  0.41117018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.40125310361094]
Predicted rank: [0], ambiguousness: [[0.5699396 0.4300604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.61290378643903]
Predicted rank: [0], ambiguousness: [[0.8231308  0.17686921]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.86899936350702]
Predicted rank: [0], ambiguousness: [[0.7788505  0.22114952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.24985065049279]
Predicted rank: [0], ambiguousness: [[0.7763809 0.2236191]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.89339154522895]
Predicted rank: [0], ambiguousness: [[0.64896595 0.35103402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.20469414010796]
Predicted rank: [0], ambiguousness: [[0.6069095  0.39309052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.84540497758658]
Predicted rank: [0], ambiguousness: [[0.7012406 0.2987594]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.20306675135953]
Predicted rank: [0], ambiguousness: [[0.819909   0.18009101]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.24499118228013]
Predicted rank: [0], ambiguousness: [[0.74046314 0.25953686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.69413684235724]
Predicted rank: [0], ambiguousness: [[0.83650863 0.1634914 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.78777268906833]
Predicted rank: [0], ambiguousness: [[0.76384246 0.23615752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.92949217531509]
Predicted rank: [0], ambiguousness: [[0.8197915  0.18020852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.98593780145762]
Predicted rank: [0], ambiguousness: [[0.8793768  0.12062317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.5777449844893]
Predicted rank: [0], ambiguousness: [[0.7803245  0.21967547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.7113908683186]
Predicted rank: [0], ambiguousness: [[0.69067967 0.3093203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.90998863895479]
Predicted rank: [0], ambiguousness: [[0.7831666  0.21683343]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.96555448914515]
Predicted rank: [0], ambiguousness: [[0.8920715  0.10792851]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.05331471658565]
Predicted rank: [0], ambiguousness: [[0.67232    0.32767996]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.15195426003908]
Predicted rank: [0], ambiguousness: [[0.84009373 0.15990625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.19877300360466]
Predicted rank: [0], ambiguousness: [[0.67114604 0.32885396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.74469627633047]
Predicted rank: [0], ambiguousness: [[0.7140983  0.28590173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.71677135911585]
Predicted rank: [0], ambiguousness: [[0.60997164 0.39002836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.05704926697106]
Predicted rank: [0], ambiguousness: [[0.72839797 0.27160203]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.14631060674321]
Predicted rank: [0], ambiguousness: [[0.8967149  0.10328507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.52984337838066]
Predicted rank: [0], ambiguousness: [[0.72381186 0.2761881 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.67372042932038]
Predicted rank: [0], ambiguousness: [[0.91049653 0.08950347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.7669989384074]
Predicted rank: [0], ambiguousness: [[0.7841565 0.2158435]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.40732217577118]
Predicted rank: [0], ambiguousness: [[0.6757432 0.3242568]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.55342827425544]
Predicted rank: [0], ambiguousness: [[0.8828412  0.11715874]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.71019573493074]
Predicted rank: [0], ambiguousness: [[0.7726579 0.2273421]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.83564903024127]
Predicted rank: [0], ambiguousness: [[0.5974885  0.40251145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.12276243484956]
Predicted rank: [0], ambiguousness: [[0.64651394 0.35348606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.32504026776009]
Predicted rank: [0], ambiguousness: [[0.84440553 0.1555945 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.56764839477887]
Predicted rank: [0], ambiguousness: [[0.8154948  0.18450521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.92479955223715]
Predicted rank: [0], ambiguousness: [[0.80667335 0.19332664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.52004086838647]
Predicted rank: [0], ambiguousness: [[0.6875726 0.3124274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.70616211726829]
Predicted rank: [0], ambiguousness: [[0.64763    0.35237002]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.91788385440185]
Predicted rank: [0], ambiguousness: [[0.6951406  0.30485937]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.89890122923893]
Predicted rank: [0], ambiguousness: [[0.60779124 0.39220876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.23310319040858]
Predicted rank: [0], ambiguousness: [[0.72661126 0.27338877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.32090518585699]
Predicted rank: [0], ambiguousness: [[0.87143874 0.12856124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.69572574789665]
Predicted rank: [0], ambiguousness: [[0.7794832 0.2205168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.83749044670819]
Predicted rank: [0], ambiguousness: [[0.898047   0.10195303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.92872718573747]
Predicted rank: [0], ambiguousness: [[0.804678   0.19532198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.54998150269262]
Predicted rank: [0], ambiguousness: [[0.6693077  0.33069226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.69415570915447]
Predicted rank: [0], ambiguousness: [[0.8718486  0.12815143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.84795743812163]
Predicted rank: [0], ambiguousness: [[0.7814338 0.2185662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.9698561471767]
Predicted rank: [0], ambiguousness: [[0.6499715  0.35002854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.49284221760314]
Predicted rank: [0], ambiguousness: [[0.5621089 0.4378911]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.7163860030183]
Predicted rank: [0], ambiguousness: [[0.8345131  0.16548687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.9959345741226]
Predicted rank: [0], ambiguousness: [[0.76237315 0.23762685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.43777005812336]
Predicted rank: [0], ambiguousness: [[0.7175573  0.28244266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.2623789142157]
Predicted rank: [0], ambiguousness: [[0.6459682  0.35403183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.88457303109506]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.91213287157962]
Predicted rank: [0], ambiguousness: [[0.6279722 0.3720278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.7434966850122]
Predicted rank: [0], ambiguousness: [[0.6572783  0.34272173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.07802583279285]
Predicted rank: [0], ambiguousness: [[0.66182363 0.33817634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.3698913416739]
Predicted rank: [0], ambiguousness: [[0.79107064 0.20892936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.61679469737766]
Predicted rank: [0], ambiguousness: [[0.7813885  0.21861146]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.74023227303766]
Predicted rank: [0], ambiguousness: [[0.7105895  0.28941044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.83541844202459]
Predicted rank: [0], ambiguousness: [[0.7655092 0.2344908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.15638630366405]
Predicted rank: [0], ambiguousness: [[0.5961765 0.4038235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.78195417765792]
Predicted rank: [0], ambiguousness: [[0.65884256 0.34115744]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.19879732908878]
Predicted rank: [0], ambiguousness: [[0.77830386 0.22169615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.44753109941038]
Predicted rank: [0], ambiguousness: [[0.77910966 0.22089036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.57168690064674]
Predicted rank: [0], ambiguousness: [[0.7027762  0.29722384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.66719143695198]
Predicted rank: [0], ambiguousness: [[0.77807903 0.22192097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.98701971516229]
Predicted rank: [0], ambiguousness: [[0.59690917 0.40309086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.68884828180828]
Predicted rank: [0], ambiguousness: [[0.6480857 0.3519143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.97728513696424]
Predicted rank: [0], ambiguousness: [[0.7439692 0.2560308]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.66651545129446]
Predicted rank: [0], ambiguousness: [[0.76737833 0.23262167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.8616643026164]
Predicted rank: [0], ambiguousness: [[0.6821202 0.3178798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.98692010262046]
Predicted rank: [0], ambiguousness: [[0.7489318  0.25106817]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.21767974678122]
Predicted rank: [0], ambiguousness: [[0.5700197 0.4299803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.91803170884361]
Predicted rank: [0], ambiguousness: [[0.79867697 0.20132302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.1672859457294]
Predicted rank: [0], ambiguousness: [[0.83307785 0.16692214]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.28522081536532]
Predicted rank: [0], ambiguousness: [[0.8798594  0.12014059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.5664379191013]
Predicted rank: [0], ambiguousness: [[0.72995526 0.27004474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.37263858951579]
Predicted rank: [0], ambiguousness: [[0.75370246 0.24629755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.52972079954546]
Predicted rank: [0], ambiguousness: [[0.80873764 0.1912624 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.8160915297592]
Predicted rank: [0], ambiguousness: [[0.72728086 0.27271912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.63449246152442]
Predicted rank: [0], ambiguousness: [[0.70311284 0.2968872 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.92796939934891]
Predicted rank: [0], ambiguousness: [[0.65010166 0.34989837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.98622431851128]
Predicted rank: [0], ambiguousness: [[0.66947055 0.33052942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.01345898791813]
Predicted rank: [0], ambiguousness: [[0.8082333  0.19176668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.27317165344692]
Predicted rank: [0], ambiguousness: [[0.6149039  0.38509607]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.62936187219947]
Predicted rank: [0], ambiguousness: [[0.74073875 0.25926125]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.36312112984862]
Predicted rank: [0], ambiguousness: [[0.77538425 0.22461577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.56417861320607]
Predicted rank: [0], ambiguousness: [[0.698262 0.301738]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.69184892587518]
Predicted rank: [0], ambiguousness: [[0.77434134 0.22565866]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.91522807570303]
Predicted rank: [0], ambiguousness: [[0.5992477 0.4007523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.74671000357384]
Predicted rank: [0], ambiguousness: [[0.8058782  0.19412178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.99773236191655]
Predicted rank: [0], ambiguousness: [[0.83490694 0.16509305]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.11611904668845]
Predicted rank: [0], ambiguousness: [[0.88784087 0.1121591 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.39597578448368]
Predicted rank: [0], ambiguousness: [[0.7412555  0.25874445]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.20476509775189]
Predicted rank: [0], ambiguousness: [[0.76744854 0.23255147]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.3624523831476]
Predicted rank: [0], ambiguousness: [[0.8294726 0.1705274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.64754248676208]
Predicted rank: [0], ambiguousness: [[0.750498   0.24950199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.46790004180578]
Predicted rank: [0], ambiguousness: [[0.7345773  0.26542267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.76016164443693]
Predicted rank: [0], ambiguousness: [[0.6835182  0.31648186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.8186843362576]
Predicted rank: [0], ambiguousness: [[0.7152165 0.2847835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.84602746649244]
Predicted rank: [0], ambiguousness: [[0.8169571  0.18304291]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.63533891470522]
Predicted rank: [0], ambiguousness: [[0.6562823  0.34371766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.300645205309]
Predicted rank: [0], ambiguousness: [[0.7400993 0.2599007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.25274476375466]
Predicted rank: [0], ambiguousness: [[0.76700246 0.23299752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.46544959523432]
Predicted rank: [0], ambiguousness: [[0.6816638 0.3183362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.59710798957758]
Predicted rank: [0], ambiguousness: [[0.7320968  0.26790324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.81156113136159]
Predicted rank: [0], ambiguousness: [[0.54960686 0.45039314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.26481404543988]
Predicted rank: [0], ambiguousness: [[0.7635151  0.23648486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.69989135645318]
Predicted rank: [0], ambiguousness: [[0.802438   0.19756196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.87106020000999]
Predicted rank: [0], ambiguousness: [[0.85632575 0.14367427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.02100211300368]
Predicted rank: [0], ambiguousness: [[0.69416094 0.3058391 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.34414376450073]
Predicted rank: [0], ambiguousness: [[0.7496862  0.25031382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.56228904594573]
Predicted rank: [0], ambiguousness: [[0.80538714 0.19461289]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.74492952235897]
Predicted rank: [0], ambiguousness: [[0.7292062 0.2707938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.73481871262175]
Predicted rank: [0], ambiguousness: [[0.6986016  0.30139843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.9315318592691]
Predicted rank: [0], ambiguousness: [[0.6523113  0.34768867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.01642573810284]
Predicted rank: [0], ambiguousness: [[0.6716198  0.32838026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.05399034685011]
Predicted rank: [0], ambiguousness: [[0.8067372 0.1932628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.60694094009276]
Predicted rank: [0], ambiguousness: [[0.714386   0.28561404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.81883186787519]
Predicted rank: [0], ambiguousness: [[0.8192506  0.18074943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.0470398223786]
Predicted rank: [0], ambiguousness: [[0.76406175 0.23593825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.04849689494093]
Predicted rank: [0], ambiguousness: [[0.8411204  0.15887958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.29859897272743]
Predicted rank: [0], ambiguousness: [[0.80999    0.19001003]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.37943807902701]
Predicted rank: [0], ambiguousness: [[0.8410686  0.15893139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.41429332279536]
Predicted rank: [0], ambiguousness: [[0.89583355 0.10416645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.24615590563548]
Predicted rank: [0], ambiguousness: [[0.73230445 0.26769552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.49288286492882]
Predicted rank: [0], ambiguousness: [[0.7080275 0.2919725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.62333148893092]
Predicted rank: [0], ambiguousness: [[0.7731945  0.22680552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.66304193563747]
Predicted rank: [0], ambiguousness: [[0.8888799  0.11112013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.69446076103617]
Predicted rank: [0], ambiguousness: [[0.65946686 0.34053317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.7687349032467]
Predicted rank: [0], ambiguousness: [[0.854022   0.14597796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.79314253783042]
Predicted rank: [0], ambiguousness: [[0.68170464 0.31829536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.17429333489675]
Predicted rank: [0], ambiguousness: [[0.6386349  0.36136505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.74289556733171]
Predicted rank: [0], ambiguousness: [[0.72281396 0.27718604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.82602554497863]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.04979240980765]
Predicted rank: [0], ambiguousness: [[0.6720969 0.3279031]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.18577706647314]
Predicted rank: [0], ambiguousness: [[0.7234306  0.27656943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.38811625737122]
Predicted rank: [0], ambiguousness: [[0.54186296 0.45813707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.89786790749531]
Predicted rank: [0], ambiguousness: [[0.7885768 0.2114232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.35163163640837]
Predicted rank: [0], ambiguousness: [[0.81961364 0.18038636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.52747187266769]
Predicted rank: [0], ambiguousness: [[0.8767271 0.1232729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.66607490255804]
Predicted rank: [0], ambiguousness: [[0.7138547  0.28614533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.0406844671531]
Predicted rank: [0], ambiguousness: [[0.7809755  0.21902448]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.26371970879475]
Predicted rank: [0], ambiguousness: [[0.84014326 0.15985674]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.43787394600412]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.44184960273977]
Predicted rank: [0], ambiguousness: [[0.749392   0.25060803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.6306480124477]
Predicted rank: [0], ambiguousness: [[0.6934167  0.30658332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.71767004920957]
Predicted rank: [0], ambiguousness: [[0.7245232 0.2754768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.75606252645781]
Predicted rank: [0], ambiguousness: [[0.81869805 0.18130198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.44066751692145]
Predicted rank: [0], ambiguousness: [[0.7486081  0.25139186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.65359380015042]
Predicted rank: [0], ambiguousness: [[0.8519859  0.14801411]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.8801570576969]
Predicted rank: [0], ambiguousness: [[0.7911554  0.20884462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.88499171157429]
Predicted rank: [0], ambiguousness: [[0.86518294 0.13481708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.13363658508237]
Predicted rank: [0], ambiguousness: [[0.8284357  0.17156428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.21487779525592]
Predicted rank: [0], ambiguousness: [[0.86475986 0.13524012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.24988481463876]
Predicted rank: [0], ambiguousness: [[0.897346   0.10265397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.08431627225741]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.3296334955445]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.46068927005118]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.50055992508315]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.53246885414316]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.60699161102522]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.63159834705402]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.21200262302547]
Predicted rank: [0], ambiguousness: [[0.7576333  0.24236664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.2046383134267]
Predicted rank: [0], ambiguousness: [[0.79026365 0.20973635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.41797034469943]
Predicted rank: [0], ambiguousness: [[0.71022594 0.28977406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.54988960505375]
Predicted rank: [0], ambiguousness: [[0.77309537 0.22690463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.76378598059512]
Predicted rank: [0], ambiguousness: [[0.60225755 0.39774245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.46433186043376]
Predicted rank: [0], ambiguousness: [[0.780548 0.219452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.003414270907]
Predicted rank: [0], ambiguousness: [[0.8146184  0.18538158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.19341207834896]
Predicted rank: [0], ambiguousness: [[0.85548323 0.14451678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.30594632017412]
Predicted rank: [0], ambiguousness: [[0.66357523 0.33642477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.9188791969425]
Predicted rank: [0], ambiguousness: [[0.7674117 0.2325883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.15105396286212]
Predicted rank: [0], ambiguousness: [[0.8071493  0.19285074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.31429457752692]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.34044581483523]
Predicted rank: [0], ambiguousness: [[0.70527005 0.29472992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.51950212316042]
Predicted rank: [0], ambiguousness: [[0.65423435 0.34576565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.61036643303045]
Predicted rank: [0], ambiguousness: [[0.6418872 0.3581128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.65001941863099]
Predicted rank: [0], ambiguousness: [[0.80901223 0.19098775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.81475501716551]
Predicted rank: [0], ambiguousness: [[0.6920463  0.30795375]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.13847501484882]
Predicted rank: [0], ambiguousness: [[0.7911579  0.20884211]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.2047179782097]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.54851229472447]
Predicted rank: [0], ambiguousness: [[0.8262829  0.17371708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.65708307499366]
Predicted rank: [0], ambiguousness: [[0.7877841  0.21221593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.78747109118956]
Predicted rank: [0], ambiguousness: [[0.82169527 0.17830475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.84048015342559]
Predicted rank: [0], ambiguousness: [[0.8785714  0.12142864]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.1899278099665]
Predicted rank: [0], ambiguousness: [[0.7472024  0.25279763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.32108828112734]
Predicted rank: [0], ambiguousness: [[0.7174763 0.2825237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.51531270568768]
Predicted rank: [0], ambiguousness: [[0.7811861  0.21881388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.5704325480977]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.65265664374975]
Predicted rank: [0], ambiguousness: [[0.6697542 0.3302458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.75085890649783]
Predicted rank: [0], ambiguousness: [[0.8554728 0.1445272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.79619874286696]
Predicted rank: [0], ambiguousness: [[0.6916343  0.30836567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.45968526957608]
Predicted rank: [0], ambiguousness: [[0.71168655 0.28831345]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.63816349287825]
Predicted rank: [0], ambiguousness: [[0.6795752 0.3204248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.82847086737762]
Predicted rank: [0], ambiguousness: [[0.79633766 0.20366235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.88240181073282]
Predicted rank: [0], ambiguousness: [[0.90682876 0.09317122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.0374779255457]
Predicted rank: [0], ambiguousness: [[0.82998466 0.1700153 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.130912861532]
Predicted rank: [0], ambiguousness: [[0.92734236 0.07265767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.17498768182517]
Predicted rank: [0], ambiguousness: [[0.8528167 0.1471833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.21440183564084]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.31989713791597]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.4146725824339]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.46998824083397]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.57837065498975]
Predicted rank: [0], ambiguousness: [[0.7311856  0.26881438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.74106876241346]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.96607627935242]
Predicted rank: [0], ambiguousness: [[0.6773795 0.3226205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.10257706514338]
Predicted rank: [0], ambiguousness: [[0.74481475 0.25518528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.30381838637874]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.85591635674011]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.44668128856306]
Predicted rank: [0], ambiguousness: [[0.7883288  0.21167119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.64728404450011]
Predicted rank: [0], ambiguousness: [[0.8338065 0.1661935]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.73690859746169]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.49611102597109]
Predicted rank: [0], ambiguousness: [[0.74509275 0.25490728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.7373807754561]
Predicted rank: [0], ambiguousness: [[0.78758806 0.21241195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.88651433946406]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.93729673002363]
Predicted rank: [0], ambiguousness: [[0.67947865 0.32052138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.10332923996697]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.1981103095492]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.2392107855188]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.4501288184832]
Predicted rank: [0], ambiguousness: [[0.7123292 0.2876708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.78412629383315]
Predicted rank: [0], ambiguousness: [[0.8166034 0.1833966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.8360830060961]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.21243281904178]
Predicted rank: [0], ambiguousness: [[0.8421805  0.15781948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.30878588394262]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.44353581326115]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.49812429634801]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.89922301929585]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.02094567743532]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.22025064886301]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.27660971941154]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.36309529373355]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.46320513443136]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.51020588007393]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.3081452081747]
Predicted rank: [0], ambiguousness: [[0.73347664 0.26652336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.48477515370885]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.6761752262029]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.73036218660947]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.88702770786588]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.9808208741421]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.0252132182476]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.06563039962113]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.17151463248075]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.26682418605289]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.32276991599875]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.37351110273178]
Predicted rank: [0], ambiguousness: [[0.7801623  0.21983771]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.92685692865982]
Predicted rank: [0], ambiguousness: [[0.81700194 0.18299805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.11891109194295]
Predicted rank: [0], ambiguousness: [[0.8675727  0.13242726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.22787123666033]
Predicted rank: [0], ambiguousness: [[0.7074357 0.2925643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.88493183743427]
Predicted rank: [0], ambiguousness: [[0.7775432  0.22245681]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.11770217604095]
Predicted rank: [0], ambiguousness: [[0.82846355 0.17153643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.28027243480031]
Predicted rank: [0], ambiguousness: [[0.75284046 0.24715953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.30768787880316]
Predicted rank: [0], ambiguousness: [[0.7300969  0.26990312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.48613812162222]
Predicted rank: [0], ambiguousness: [[0.6797091  0.32029095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.57725510711465]
Predicted rank: [0], ambiguousness: [[0.69819987 0.3018001 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.61699285506822]
Predicted rank: [0], ambiguousness: [[0.8201994  0.17980066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.96721895314855]
Predicted rank: [0], ambiguousness: [[0.69616807 0.3038319 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.34064091870488]
Predicted rank: [0], ambiguousness: [[0.780023   0.21997704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.35431276472545]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.85418911354763]
Predicted rank: [0], ambiguousness: [[0.8169577  0.18304232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.92202284894249]
Predicted rank: [0], ambiguousness: [[0.7783096  0.22169039]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.07081480887993]
Predicted rank: [0], ambiguousness: [[0.7783043  0.22169572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.12999498296784]
Predicted rank: [0], ambiguousness: [[0.8685261  0.13147391]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.7724051799851]
Predicted rank: [0], ambiguousness: [[0.7498363  0.25016367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.88155435368618]
Predicted rank: [0], ambiguousness: [[0.7097795  0.29022053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.0909481433498]
Predicted rank: [0], ambiguousness: [[0.7492248  0.25077522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.1493323047284]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.24541806435991]
Predicted rank: [0], ambiguousness: [[0.5880046  0.41199544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.34848353331085]
Predicted rank: [0], ambiguousness: [[0.8624835  0.13751648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.39878265505254]
Predicted rank: [0], ambiguousness: [[0.66644716 0.33355284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.62206524584371]
Predicted rank: [0], ambiguousness: [[0.67241096 0.327589  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.61723386975828]
Predicted rank: [0], ambiguousness: [[0.6381494  0.36185062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.92598043405205]
Predicted rank: [0], ambiguousness: [[0.7515321  0.24846795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.00923415086291]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.32418650345755]
Predicted rank: [0], ambiguousness: [[0.8023488 0.1976512]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.46117162297324]
Predicted rank: [0], ambiguousness: [[0.91388994 0.08611004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.54605047524602]
Predicted rank: [0], ambiguousness: [[0.82812357 0.17187645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.9816211517256]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.12649172459712]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.27929442741956]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.39913664798341]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.31392059948604]
Predicted rank: [0], ambiguousness: [[0.6443509  0.35564908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.45462010292647]
Predicted rank: [0], ambiguousness: [[0.86467075 0.13532925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.60528650750678]
Predicted rank: [0], ambiguousness: [[0.8280221 0.1719779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.80185781074184]
Predicted rank: [0], ambiguousness: [[0.82728004 0.17271993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.9674880793028]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 101.72561186532306]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.34085199146097]
Predicted rank: [0], ambiguousness: [[0.7952822  0.20471781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.54484209268536]
Predicted rank: [0], ambiguousness: [[0.85075873 0.14924127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.62880780786278]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.46477895996946]
Predicted rank: [0], ambiguousness: [[0.74963737 0.2503626 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.70673482384547]
Predicted rank: [0], ambiguousness: [[0.80534637 0.19465363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.85530350859746]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.90725969105063]
Predicted rank: [0], ambiguousness: [[0.6985468  0.30145317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.07279622384503]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.16786529680431]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.20905524938183]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.38998265262336]
Predicted rank: [0], ambiguousness: [[0.66995287 0.33004713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.78801028374633]
Predicted rank: [0], ambiguousness: [[0.75853336 0.24146661]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 100.77260541387112]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.35003993752818]
Predicted rank: [0], ambiguousness: [[0.79091465 0.20908532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.39432982105501]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.55277825587069]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.61530028078387]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.39767826320451]
Predicted rank: [0], ambiguousness: [[0.7264321  0.27356791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.49182215508894]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.71036836314016]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.7708445629951]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.87478381815043]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.98103209372064]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.03432600791076]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.30191732154432]
Predicted rank: [0], ambiguousness: [[0.69590104 0.30409896]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.2816773390027]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.60080834948936]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.68657753877396]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.01751601103555]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.15810037929856]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.24639999572035]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.7219652070965]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.8698050577308]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.02697569578653]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.15191783949317]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.19824793433023]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.33955164961255]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.49115874349707]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.68948706836932]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.85667518056965]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.90414550985555]
Predicted rank: [0], ambiguousness: [[0.6937707 0.3062293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.2833859345161]
Predicted rank: [0], ambiguousness: [[0.7924938  0.20750621]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.29181739230083]
Predicted rank: [0], ambiguousness: [[0.73978615 0.26021382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.81074773133048]
Predicted rank: [0], ambiguousness: [[0.8210292  0.17897081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.87493660709444]
Predicted rank: [0], ambiguousness: [[0.78167367 0.21832632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.0256826992377]
Predicted rank: [0], ambiguousness: [[0.81633353 0.18366644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.08549493645575]
Predicted rank: [0], ambiguousness: [[0.8746591 0.1253409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.77139236271358]
Predicted rank: [0], ambiguousness: [[0.7598311 0.2401689]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.87995896116433]
Predicted rank: [0], ambiguousness: [[0.7310556  0.26894438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.08991158507142]
Predicted rank: [0], ambiguousness: [[0.7925885 0.2074115]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.14840117259851]
Predicted rank: [0], ambiguousness: [[0.8965108  0.10348923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.24485744217405]
Predicted rank: [0], ambiguousness: [[0.68461895 0.31538108]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.34808863487955]
Predicted rank: [0], ambiguousness: [[0.86367965 0.13632038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.39857158424907]
Predicted rank: [0], ambiguousness: [[0.7059466  0.29405338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.78578974758355]
Predicted rank: [0], ambiguousness: [[0.6734969 0.3265031]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.71966934978818]
Predicted rank: [0], ambiguousness: [[0.62729216 0.37270787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.08312361133159]
Predicted rank: [0], ambiguousness: [[0.714967   0.28503302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.17804921389188]
Predicted rank: [0], ambiguousness: [[0.88943166 0.11056832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.59531932674102]
Predicted rank: [0], ambiguousness: [[0.7114421  0.28855786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.74739422166104]
Predicted rank: [0], ambiguousness: [[0.9128165  0.08718346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.84806939178421]
Predicted rank: [0], ambiguousness: [[0.7874269 0.2125731]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.55949162866527]
Predicted rank: [0], ambiguousness: [[0.66092056 0.33907944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.7129215918489]
Predicted rank: [0], ambiguousness: [[0.8893011  0.11069886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.87983446263382]
Predicted rank: [0], ambiguousness: [[0.7794603  0.22053969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.01658004410356]
Predicted rank: [0], ambiguousness: [[0.6068655 0.3931345]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.19186401717816]
Predicted rank: [0], ambiguousness: [[0.5988704  0.40112957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.40545542200404]
Predicted rank: [0], ambiguousness: [[0.84038556 0.15961441]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.66444136561444]
Predicted rank: [0], ambiguousness: [[0.7986914 0.2013086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.05066726888094]
Predicted rank: [0], ambiguousness: [[0.79061824 0.20938177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.70636688692274]
Predicted rank: [0], ambiguousness: [[0.67560637 0.32439366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.05217949376035]
Predicted rank: [0], ambiguousness: [[0.6349462 0.3650538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.5655730437662]
Predicted rank: [0], ambiguousness: [[0.6752534  0.32474664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 101.96318528031544]
Predicted rank: [0], ambiguousness: [[0.7780362  0.22196382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 100.95160303271014]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.52870880973802]
Predicted rank: [0], ambiguousness: [[0.8080783  0.19192173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.57726121397062]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.73497878382231]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.7971549931398]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.59706461506309]
Predicted rank: [0], ambiguousness: [[0.73225355 0.26774648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.69733384014413]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.91283443978892]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.97254664060188]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.07375955101097]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.17884343756847]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.23114577405559]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.51292658699163]
Predicted rank: [0], ambiguousness: [[0.6483873  0.35161266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.42756428626055]
Predicted rank: [0], ambiguousness: [[0.61118215 0.38881785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 100.80704614158489]
Predicted rank: [0], ambiguousness: [[0.7008394  0.29916063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 100.90552992932636]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.35150389833686]
Predicted rank: [0], ambiguousness: [[0.69721377 0.3027862 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.50833419171556]
Predicted rank: [0], ambiguousness: [[0.903474   0.09652603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.61387326298029]
Predicted rank: [0], ambiguousness: [[0.76806176 0.23193823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.40517395751469]
Predicted rank: [0], ambiguousness: [[0.6454426 0.3545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.56157771698125]
Predicted rank: [0], ambiguousness: [[0.877776   0.12222395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.73323743216457]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.87549723778696]
Predicted rank: [0], ambiguousness: [[0.5798286 0.4201714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.0830573104565]
Predicted rank: [0], ambiguousness: [[0.6369884 0.3630116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.29975528748031]
Predicted rank: [0], ambiguousness: [[0.8541065  0.14589351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.56356744692684]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.95949463112494]
Predicted rank: [0], ambiguousness: [[0.8107974 0.1892026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.6416693243651]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.07200641665356]
Predicted rank: [0], ambiguousness: [[0.65237    0.34763005]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.90343142866136]
Predicted rank: [0], ambiguousness: [[0.66214776 0.33785227]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.83861454891527]
Predicted rank: [0], ambiguousness: [[0.62740743 0.37259254]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.203195857244]
Predicted rank: [0], ambiguousness: [[0.74279946 0.25720054]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.29819773726736]
Predicted rank: [0], ambiguousness: [[0.88542163 0.11457834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.72077481611407]
Predicted rank: [0], ambiguousness: [[0.78760207 0.21239792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.87270289145536]
Predicted rank: [0], ambiguousness: [[0.9064955  0.09350449]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.97342749830413]
Predicted rank: [0], ambiguousness: [[0.8148562  0.18514386]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.70740045599244]
Predicted rank: [0], ambiguousness: [[0.68742955 0.31257048]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.85981719122356]
Predicted rank: [0], ambiguousness: [[0.88579273 0.11420725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.02533053283884]
Predicted rank: [0], ambiguousness: [[0.8023215  0.19767852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.16031670267705]
Predicted rank: [0], ambiguousness: [[0.6782497 0.3217503]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.43262612957156]
Predicted rank: [0], ambiguousness: [[0.5726223 0.4273777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 100.67338175773594]
Predicted rank: [0], ambiguousness: [[0.84667814 0.15332188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 100.97938615202774]
Predicted rank: [0], ambiguousness: [[0.77770114 0.22229883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.47302965113671]
Predicted rank: [0], ambiguousness: [[0.7182193  0.28178075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.42148105170008]
Predicted rank: [0], ambiguousness: [[0.66551054 0.3344895 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 100.98262068921382]
Predicted rank: [0], ambiguousness: [[0.57802755 0.42197245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.61398480359455]
Predicted rank: [0], ambiguousness: [[0.67639875 0.32360128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.57893760438279]
Predicted rank: [0], ambiguousness: [[0.62327754 0.37672243]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.92645554414852]
Predicted rank: [0], ambiguousness: [[0.7655308  0.23446919]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.01720428532303]
Predicted rank: [0], ambiguousness: [[0.8985428  0.10145718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.41626839990464]
Predicted rank: [0], ambiguousness: [[0.80094016 0.19905981]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.56194478479662]
Predicted rank: [0], ambiguousness: [[0.90615845 0.09384157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.65715797686893]
Predicted rank: [0], ambiguousness: [[0.8111509  0.18884908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.34616028937153]
Predicted rank: [0], ambiguousness: [[0.7007562 0.2992438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.49267989515528]
Predicted rank: [0], ambiguousness: [[0.8791702  0.12082981]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.65015306043549]
Predicted rank: [0], ambiguousness: [[0.79537225 0.20462775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.77624784316242]
Predicted rank: [0], ambiguousness: [[0.6687396  0.33126038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.20803023489069]
Predicted rank: [0], ambiguousness: [[0.6069386 0.3930614]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.4377899171065]
Predicted rank: [0], ambiguousness: [[0.8486484  0.15135154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.72752672027391]
Predicted rank: [0], ambiguousness: [[0.7838427  0.21615733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.19129659031955]
Predicted rank: [0], ambiguousness: [[0.717177   0.28282303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.07564429616632]
Predicted rank: [0], ambiguousness: [[0.67345 0.32655]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.71859032824256]
Predicted rank: [0], ambiguousness: [[0.619866 0.380134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.39683446717429]
Predicted rank: [0], ambiguousness: [[0.5854864  0.41451362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.62294511995495]
Predicted rank: [0], ambiguousness: [[0.8266293  0.17337075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.90708059732293]
Predicted rank: [0], ambiguousness: [[0.7822727  0.21772733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.3605844984177]
Predicted rank: [0], ambiguousness: [[0.77372754 0.22627246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.22124249676088]
Predicted rank: [0], ambiguousness: [[0.66694057 0.33305946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.06122806493805]
Predicted rank: [0], ambiguousness: [[0.5748209  0.42517915]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.22005044045665]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.1294385416696]
Predicted rank: [0], ambiguousness: [[0.5417174 0.4582826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.04454474451518]
Predicted rank: [0], ambiguousness: [[0.5250639 0.4749361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.84694966106262]
Predicted rank: [0], ambiguousness: [[0.6947606  0.30523938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.01078883370448]
Predicted rank: [0], ambiguousness: [[0.67929447 0.3207055 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.0956699793843]
Predicted rank: [0], ambiguousness: [[0.6211971  0.37880293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.16353867990134]
Predicted rank: [0], ambiguousness: [[0.6484044  0.35159558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.66022233352473]
Predicted rank: [0], ambiguousness: [[0.52186024 0.47813976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.88697089280363]
Predicted rank: [0], ambiguousness: [[0.5712913  0.42870867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.75488818776171]
Predicted rank: [0], ambiguousness: [[0.72050387 0.27949613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.91970042857918]
Predicted rank: [0], ambiguousness: [[0.71855664 0.28144336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.00496153904055]
Predicted rank: [0], ambiguousness: [[0.670736 0.329264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.07299803136141]
Predicted rank: [0], ambiguousness: [[0.70754445 0.29245552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.56909040277932]
Predicted rank: [0], ambiguousness: [[0.57214636 0.42785364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.80736488137308]
Predicted rank: [0], ambiguousness: [[0.54604495 0.45395505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.3180642165388]
Predicted rank: [0], ambiguousness: [[0.6808878 0.3191122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.76089175501893]
Predicted rank: [0], ambiguousness: [[0.7048278  0.29517218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.89160090801235]
Predicted rank: [0], ambiguousness: [[0.6489656  0.35103437]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.97863316578929]
Predicted rank: [0], ambiguousness: [[0.6730262  0.32697377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.41875580479459]
Predicted rank: [0], ambiguousness: [[0.5448646 0.4551354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.53115346905807]
Predicted rank: [0], ambiguousness: [[0.7417097  0.25829026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.70127296258224]
Predicted rank: [0], ambiguousness: [[0.8034911  0.19650888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.78473468519627]
Predicted rank: [0], ambiguousness: [[0.84173024 0.15826976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.2546392137783]
Predicted rank: [0], ambiguousness: [[0.72397 0.27603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.83528933056849]
Predicted rank: [0], ambiguousness: [[0.6930391  0.30696088]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.94667234626064]
Predicted rank: [0], ambiguousness: [[0.75373936 0.24626063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.41936307750827]
Predicted rank: [0], ambiguousness: [[0.70659035 0.29340965]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.0179455775918]
Predicted rank: [0], ambiguousness: [[0.6561536  0.34384638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.49528338188036]
Predicted rank: [0], ambiguousness: [[0.62656224 0.37343773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.53574302377899]
Predicted rank: [0], ambiguousness: [[0.64652574 0.35347423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.5548212142234]
Predicted rank: [0], ambiguousness: [[0.7821979 0.2178021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.58625090768598]
Predicted rank: [0], ambiguousness: [[0.5275857 0.4724143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.13293945570774]
Predicted rank: [0], ambiguousness: [[0.69197714 0.30802283]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.59901776907935]
Predicted rank: [0], ambiguousness: [[0.7279427  0.27205727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.7328198250072]
Predicted rank: [0], ambiguousness: [[0.68100893 0.3189911 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.82111152462758]
Predicted rank: [0], ambiguousness: [[0.7171532  0.28284678]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.2574454685494]
Predicted rank: [0], ambiguousness: [[0.58358556 0.41641444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.4384883767739]
Predicted rank: [0], ambiguousness: [[0.762908   0.23709203]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.60954268264962]
Predicted rank: [0], ambiguousness: [[0.8160609  0.18393908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.69324265794125]
Predicted rank: [0], ambiguousness: [[0.86024755 0.13975245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.16244145782788]
Predicted rank: [0], ambiguousness: [[0.7425982 0.2574018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.74445302695497]
Predicted rank: [0], ambiguousness: [[0.72277784 0.27722213]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.85615490914692]
Predicted rank: [0], ambiguousness: [[0.79036653 0.20963344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.32818143877589]
Predicted rank: [0], ambiguousness: [[0.73816425 0.26183575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.92778587173606]
Predicted rank: [0], ambiguousness: [[0.70483315 0.29516682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.40449369432777]
Predicted rank: [0], ambiguousness: [[0.66933215 0.33066785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.44509479344381]
Predicted rank: [0], ambiguousness: [[0.7018316  0.29816842]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.46423049044361]
Predicted rank: [0], ambiguousness: [[0.80640304 0.19359697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.7747394659004]
Predicted rank: [0], ambiguousness: [[0.585202   0.41479802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.9072075869982]
Predicted rank: [0], ambiguousness: [[0.6626884  0.33731163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.50826911407938]
Predicted rank: [0], ambiguousness: [[0.7071933  0.29280668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.64955529569818]
Predicted rank: [0], ambiguousness: [[0.66391844 0.33608156]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.74042731966796]
Predicted rank: [0], ambiguousness: [[0.6565075 0.3434925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.17092442927171]
Predicted rank: [0], ambiguousness: [[0.533515   0.46648502]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.83658307335114]
Predicted rank: [0], ambiguousness: [[0.7144898  0.28551018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.12418264578145]
Predicted rank: [0], ambiguousness: [[0.7808584  0.21914162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.24141811299012]
Predicted rank: [0], ambiguousness: [[0.82252884 0.17747116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.62932807806565]
Predicted rank: [0], ambiguousness: [[0.6956476  0.30435237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.53479816125554]
Predicted rank: [0], ambiguousness: [[0.7029244  0.29707566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.68509054643067]
Predicted rank: [0], ambiguousness: [[0.7623402  0.23765981]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.09277762870559]
Predicted rank: [0], ambiguousness: [[0.7162179  0.28378212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.79967301503764]
Predicted rank: [0], ambiguousness: [[0.6666554 0.3333446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.21641057870961]
Predicted rank: [0], ambiguousness: [[0.63746846 0.36253154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.27387596860893]
Predicted rank: [0], ambiguousness: [[0.6571679  0.34283206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.29956337277142]
Predicted rank: [0], ambiguousness: [[0.79574126 0.20425875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.30931733925428]
Predicted rank: [0], ambiguousness: [[0.66398525 0.33601472]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.4579089205319]
Predicted rank: [0], ambiguousness: [[0.7784265  0.22157346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.89157746468884]
Predicted rank: [0], ambiguousness: [[0.75217706 0.24782293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.6137527977705]
Predicted rank: [0], ambiguousness: [[0.82412875 0.17587124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.06193773451818]
Predicted rank: [0], ambiguousness: [[0.805389 0.194611]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.117873309553]
Predicted rank: [0], ambiguousness: [[0.8405223  0.15947768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.14217819625904]
Predicted rank: [0], ambiguousness: [[0.89609206 0.10390794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.74202623326616]
Predicted rank: [0], ambiguousness: [[0.6690167  0.33098328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.18704830493266]
Predicted rank: [0], ambiguousness: [[0.694449 0.305551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.27813077753584]
Predicted rank: [0], ambiguousness: [[0.76162624 0.23837373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.30602237396076]
Predicted rank: [0], ambiguousness: [[0.8818732  0.11812682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.32454782980692]
Predicted rank: [0], ambiguousness: [[0.644763   0.35523698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.37731984844137]
Predicted rank: [0], ambiguousness: [[0.8452002  0.15479983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.39308834515423]
Predicted rank: [0], ambiguousness: [[0.6674769 0.3325231]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.52848219214593]
Predicted rank: [0], ambiguousness: [[0.54682624 0.45317376]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.61099168168307]
Predicted rank: [0], ambiguousness: [[0.6355334 0.3644666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.28032168498083]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.42737966301911]
Predicted rank: [0], ambiguousness: [[0.64698553 0.35301447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.52050062443784]
Predicted rank: [0], ambiguousness: [[0.639404 0.360596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.94479978546136]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.6404540899423]
Predicted rank: [0], ambiguousness: [[0.73698646 0.26301354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.93780230042343]
Predicted rank: [0], ambiguousness: [[0.7943844 0.2056156]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.05747259830372]
Predicted rank: [0], ambiguousness: [[0.842775   0.15722498]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.43957001947891]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.3718079385626]
Predicted rank: [0], ambiguousness: [[0.7319301  0.26806992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.52465055812273]
Predicted rank: [0], ambiguousness: [[0.7979113  0.20208873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.92798350238175]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.64216525567095]
Predicted rank: [0], ambiguousness: [[0.71434367 0.28565633]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.0548444902698]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.11342182132665]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.13954286285679]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.21819696887397]
Predicted rank: [0], ambiguousness: [[0.69514406 0.30485597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.36733429133474]
Predicted rank: [0], ambiguousness: [[0.81218314 0.18781687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.80015010858993]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.52409448188882]
Predicted rank: [0], ambiguousness: [[0.84628576 0.15371425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.97152434476317]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.02767229344528]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.05205754735124]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.65325422240797]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.0975460909167]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.1889484717279]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.21692484007409]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.23570988513373]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.28861290713297]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.30448708763856]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.85283512078263]
Predicted rank: [0], ambiguousness: [[0.7043437  0.29565632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.47732053670367]
Predicted rank: [0], ambiguousness: [[0.7389487  0.26105133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.61897293560531]
Predicted rank: [0], ambiguousness: [[0.6866733 0.3133267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.70999640265205]
Predicted rank: [0], ambiguousness: [[0.70930713 0.29069287]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.1401757451838]
Predicted rank: [0], ambiguousness: [[0.586632   0.41336802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.34973568568125]
Predicted rank: [0], ambiguousness: [[0.7166583 0.2833417]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.69984086663277]
Predicted rank: [0], ambiguousness: [[0.7888705  0.21112947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.82836905073452]
Predicted rank: [0], ambiguousness: [[0.79652965 0.20347036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.19423071937655]
Predicted rank: [0], ambiguousness: [[0.66513896 0.33486104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.27369658138295]
Predicted rank: [0], ambiguousness: [[0.7164318 0.2835682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.43240150326909]
Predicted rank: [0], ambiguousness: [[0.7485088 0.2514912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.82864357715997]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.55714602929787]
Predicted rank: [0], ambiguousness: [[0.6094445  0.39055553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.96347453237348]
Predicted rank: [0], ambiguousness: [[0.6394282 0.3605718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.02452315301569]
Predicted rank: [0], ambiguousness: [[0.6268538  0.37314618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.05146698935721]
Predicted rank: [0], ambiguousness: [[0.79811335 0.20188668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.52488213862264]
Predicted rank: [0], ambiguousness: [[0.6324588  0.36754116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.7442808415657]
Predicted rank: [0], ambiguousness: [[0.7399897 0.2600103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.07694590573858]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.01413349102856]
Predicted rank: [0], ambiguousness: [[0.80317366 0.19682631]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.37405456446967]
Predicted rank: [0], ambiguousness: [[0.78278965 0.21721037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.46144602145435]
Predicted rank: [0], ambiguousness: [[0.8210965 0.1789035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.49729493960702]
Predicted rank: [0], ambiguousness: [[0.8788669 0.1211331]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.42199730277046]
Predicted rank: [0], ambiguousness: [[0.67915595 0.32084405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.79472144717406]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.92641630053606]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.96414971831668]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.0151592973323]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.08316106369517]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.11234314945935]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.19975744819587]
Predicted rank: [0], ambiguousness: [[0.63870275 0.36129725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.59913636096277]
Predicted rank: [0], ambiguousness: [[0.665299 0.334701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.73076314991201]
Predicted rank: [0], ambiguousness: [[0.7856226  0.21437739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.76835220656409]
Predicted rank: [0], ambiguousness: [[0.90082765 0.09917238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.87030547255381]
Predicted rank: [0], ambiguousness: [[0.8257637  0.17423627]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.93616824339887]
Predicted rank: [0], ambiguousness: [[0.9250275  0.07497253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.96543636739649]
Predicted rank: [0], ambiguousness: [[0.8523037  0.14769632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.98258506276795]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.05727344719344]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.1223677244044]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.15718167377943]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.51502384531746]
Predicted rank: [0], ambiguousness: [[0.6640131 0.3359869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.22784470509465]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.37558810237292]
Predicted rank: [0], ambiguousness: [[0.64156157 0.35843843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.46899251174831]
Predicted rank: [0], ambiguousness: [[0.6658684 0.3341316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.89269823029389]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.02525117588883]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.4022486632768]
Predicted rank: [0], ambiguousness: [[0.7600052  0.23999482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.53628904551789]
Predicted rank: [0], ambiguousness: [[0.76840407 0.23159592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.8904432815215]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.04593233699555]
Predicted rank: [0], ambiguousness: [[0.6911894  0.30881062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.20936644019513]
Predicted rank: [0], ambiguousness: [[0.7250259 0.2749741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.59839151623264]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.33960619698419]
Predicted rank: [0], ambiguousness: [[0.5802581  0.41974193]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.73927623030201]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.80236433522025]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.83006375514665]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.32809516955442]
Predicted rank: [0], ambiguousness: [[0.65470827 0.3452917 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.55284854605642]
Predicted rank: [0], ambiguousness: [[0.76985604 0.23014395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.87819339948459]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.83223729035296]
Predicted rank: [0], ambiguousness: [[0.8207272  0.17927276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.18590220207058]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.27557000980535]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.31224423109643]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.26380057441929]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.63168827330247]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.7660321672293]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.80441386783576]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.8576570135252]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.92665296975987]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.95670654098149]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.1144935220232]
Predicted rank: [0], ambiguousness: [[0.66339993 0.33660007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.51291553613189]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.64511796303579]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.68284234165374]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.78563530275412]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.851686760923]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.88112323766745]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.89880836306676]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.97370149341839]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.03907770244993]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.07422552414532]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.29152984847417]
Predicted rank: [0], ambiguousness: [[0.7272289 0.2727711]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.64984587974705]
Predicted rank: [0], ambiguousness: [[0.79150033 0.20849964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.7795588443949]
Predicted rank: [0], ambiguousness: [[0.8315837  0.16841632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.14339747630463]
Predicted rank: [0], ambiguousness: [[0.70888495 0.29111505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.24831758216455]
Predicted rank: [0], ambiguousness: [[0.7279968  0.27200317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.40736828288726]
Predicted rank: [0], ambiguousness: [[0.7839395 0.2160605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.80322795011759]
Predicted rank: [0], ambiguousness: [[0.74058247 0.25941756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.53245971290781]
Predicted rank: [0], ambiguousness: [[0.6934539  0.30654606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.9384428567272]
Predicted rank: [0], ambiguousness: [[0.6654359  0.33456412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.99963822447859]
Predicted rank: [0], ambiguousness: [[0.68436813 0.3156319 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.02663132799329]
Predicted rank: [0], ambiguousness: [[0.8097887 0.1902113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.00687336894032]
Predicted rank: [0], ambiguousness: [[0.6369599  0.36304012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.25606770476872]
Predicted rank: [0], ambiguousness: [[0.716036   0.28396398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.55777148456791]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.58813642158029]
Predicted rank: [0], ambiguousness: [[0.73458725 0.26541275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.92409069902223]
Predicted rank: [0], ambiguousness: [[0.7731564  0.22684361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.02252249455171]
Predicted rank: [0], ambiguousness: [[0.7775993  0.22240074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.06207546540563]
Predicted rank: [0], ambiguousness: [[0.8688424  0.13115759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.16259386683937]
Predicted rank: [0], ambiguousness: [[0.6701747 0.3298253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.52235784176662]
Predicted rank: [0], ambiguousness: [[0.6962475  0.30375248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.66313782429398]
Predicted rank: [0], ambiguousness: [[0.73685014 0.26314983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.70283247390957]
Predicted rank: [0], ambiguousness: [[0.88339156 0.11660844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.76219930736474]
Predicted rank: [0], ambiguousness: [[0.5722167 0.4277833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.83311250585986]
Predicted rank: [0], ambiguousness: [[0.8540857  0.14591435]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.86527843025723]
Predicted rank: [0], ambiguousness: [[0.6518857 0.3481143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.38300623580547]
Predicted rank: [0], ambiguousness: [[0.59514076 0.40485924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.66831398499441]
Predicted rank: [0], ambiguousness: [[0.6230512  0.37694877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.87485351331102]
Predicted rank: [0], ambiguousness: [[0.7392317  0.26076832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.93103931045816]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.13379351587]
Predicted rank: [0], ambiguousness: [[0.79760903 0.20239097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.22721597290138]
Predicted rank: [0], ambiguousness: [[0.9111876 0.0888124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.28245672289005]
Predicted rank: [0], ambiguousness: [[0.8275419  0.17245813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.54821738143984]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.6479392744549]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.75002997261441]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.82610045958393]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.35961518692204]
Predicted rank: [0], ambiguousness: [[0.6293613 0.3706387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.45819620245399]
Predicted rank: [0], ambiguousness: [[0.85638416 0.14361581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.56114466476555]
Predicted rank: [0], ambiguousness: [[0.81859434 0.1814057 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.69129014965912]
Predicted rank: [0], ambiguousness: [[0.8230063  0.17699371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.79516209085628]
Predicted rank: [0], ambiguousness: [[0.66326773 0.3367323 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.94067167825293]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.33145618510045]
Predicted rank: [0], ambiguousness: [[0.7589907 0.2410093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.4674293463751]
Predicted rank: [0], ambiguousness: [[0.8037745  0.19622552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.81837542739089]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.01706324626568]
Predicted rank: [0], ambiguousness: [[0.686115   0.31388494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.18094148208165]
Predicted rank: [0], ambiguousness: [[0.747686   0.25231394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.56955942265773]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.31159615991133]
Predicted rank: [0], ambiguousness: [[0.64881915 0.35118085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.71090455522429]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.77417979317346]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.8019390474166]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.6933496660966]
Predicted rank: [0], ambiguousness: [[0.6085089  0.39149112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.95546749913493]
Predicted rank: [0], ambiguousness: [[0.6907736 0.3092264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.24215567030754]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.31305350881702]
Predicted rank: [0], ambiguousness: [[0.70111233 0.29888767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.6368580761621]
Predicted rank: [0], ambiguousness: [[0.75111175 0.24888824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.74036882889908]
Predicted rank: [0], ambiguousness: [[0.7558501  0.24414991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.78168106248285]
Predicted rank: [0], ambiguousness: [[0.8488154  0.15118463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.95573399844346]
Predicted rank: [0], ambiguousness: [[0.6428672 0.3571328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.30774595776293]
Predicted rank: [0], ambiguousness: [[0.67963606 0.32036394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.45333540640243]
Predicted rank: [0], ambiguousness: [[0.7215712 0.2784288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.49413296602756]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.55764966503385]
Predicted rank: [0], ambiguousness: [[0.55317545 0.44682458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.63023487277357]
Predicted rank: [0], ambiguousness: [[0.8383317 0.1616683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.66398312292765]
Predicted rank: [0], ambiguousness: [[0.62391376 0.37608624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.20555503923822]
Predicted rank: [0], ambiguousness: [[0.621049 0.378951]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.4828910323556]
Predicted rank: [0], ambiguousness: [[0.6554973 0.3445027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.69489840346354]
Predicted rank: [0], ambiguousness: [[0.77683467 0.22316533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.75241179892241]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.96359622246422]
Predicted rank: [0], ambiguousness: [[0.82203597 0.17796405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.05891222696644]
Predicted rank: [0], ambiguousness: [[0.91395825 0.08604177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.11596379719164]
Predicted rank: [0], ambiguousness: [[0.83558965 0.16441037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.40281729564018]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.5041028922547]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.60850014673606]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.68727419752042]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.29038669144754]
Predicted rank: [0], ambiguousness: [[0.6641793 0.3358207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.38929006568735]
Predicted rank: [0], ambiguousness: [[0.8679092 0.1320908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.49274147259217]
Predicted rank: [0], ambiguousness: [[0.8357048  0.16429523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.62382789074582]
Predicted rank: [0], ambiguousness: [[0.83341926 0.16658072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.72854148121914]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.96038513595664]
Predicted rank: [0], ambiguousness: [[0.6343407 0.3656593]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.21296469226829]
Predicted rank: [0], ambiguousness: [[0.74154603 0.258454  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.51165676378054]
Predicted rank: [0], ambiguousness: [[0.7271154  0.27288458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.55306357071763]
Predicted rank: [0], ambiguousness: [[0.79739237 0.2026076 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.88691741989396]
Predicted rank: [0], ambiguousness: [[0.77657616 0.22342381]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.98649121067552]
Predicted rank: [0], ambiguousness: [[0.8157209  0.18427911]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.0264140512918]
Predicted rank: [0], ambiguousness: [[0.8749628 0.1250372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.1522292167146]
Predicted rank: [0], ambiguousness: [[0.69379103 0.306209  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.51163169180822]
Predicted rank: [0], ambiguousness: [[0.7181217 0.2818783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.65275262805065]
Predicted rank: [0], ambiguousness: [[0.7817303  0.21826972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.69251252854443]
Predicted rank: [0], ambiguousness: [[0.8899257 0.1100743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.75211073373279]
Predicted rank: [0], ambiguousness: [[0.67045844 0.32954153]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.82312600471369]
Predicted rank: [0], ambiguousness: [[0.8553425  0.14465748]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.85540446904027]
Predicted rank: [0], ambiguousness: [[0.69231343 0.30768654]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.86666761486353]
Predicted rank: [0], ambiguousness: [[0.5830434 0.4169566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.11589921377546]
Predicted rank: [0], ambiguousness: [[0.61201644 0.38798356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.3552387596695]
Predicted rank: [0], ambiguousness: [[0.70157516 0.2984248 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.41843486791231]
Predicted rank: [0], ambiguousness: [[0.88245517 0.11754482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.6826765611413]
Predicted rank: [0], ambiguousness: [[0.705323   0.29467702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.7851337643454]
Predicted rank: [0], ambiguousness: [[0.91008383 0.08991619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.84988523393926]
Predicted rank: [0], ambiguousness: [[0.7867429  0.21325706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.28158921317213]
Predicted rank: [0], ambiguousness: [[0.6462459 0.3537541]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.3864406946156]
Predicted rank: [0], ambiguousness: [[0.8823175  0.11768252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.49700518191057]
Predicted rank: [0], ambiguousness: [[0.7681159  0.23188414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.58328103236119]
Predicted rank: [0], ambiguousness: [[0.5912981 0.4087019]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.35937463150736]
Predicted rank: [0], ambiguousness: [[0.5832038 0.4167962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.50402344051426]
Predicted rank: [0], ambiguousness: [[0.8309028 0.1690972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.675574871874]
Predicted rank: [0], ambiguousness: [[0.7880673  0.21193273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.92540472718011]
Predicted rank: [0], ambiguousness: [[0.7856723  0.21432771]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.33737220938357]
Predicted rank: [0], ambiguousness: [[0.6612415  0.33875853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.15562235483615]
Predicted rank: [0], ambiguousness: [[0.619794   0.38020596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.75510284302192]
Predicted rank: [0], ambiguousness: [[0.6028566  0.39714342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.01804793436037]
Predicted rank: [0], ambiguousness: [[0.7151475 0.2848525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.30554578148681]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.37963463298505]
Predicted rank: [0], ambiguousness: [[0.774967   0.22503297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.7047175618761]
Predicted rank: [0], ambiguousness: [[0.7606187  0.23938134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.80823897819914]
Predicted rank: [0], ambiguousness: [[0.8018458 0.1981542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.84950419852322]
Predicted rank: [0], ambiguousness: [[0.85961163 0.1403884 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.03926453843238]
Predicted rank: [0], ambiguousness: [[0.65124077 0.34875923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.3939107954848]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.53821762746279]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.5786857600109]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.64102552588554]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.71311151315373]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.74643965406436]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.69775120248943]
Predicted rank: [0], ambiguousness: [[0.55556786 0.4444321 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.93615478459195]
Predicted rank: [0], ambiguousness: [[0.5956718  0.40432826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.18459874536391]
Predicted rank: [0], ambiguousness: [[0.6870743  0.31292567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.2498249816688]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.53032883335668]
Predicted rank: [0], ambiguousness: [[0.69092405 0.30907598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.6354969745918]
Predicted rank: [0], ambiguousness: [[0.90048033 0.09951966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.70302844811718]
Predicted rank: [0], ambiguousness: [[0.7673339  0.23266608]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.17980453163096]
Predicted rank: [0], ambiguousness: [[0.63047254 0.36952743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.28637485390101]
Predicted rank: [0], ambiguousness: [[0.8701715  0.12982853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.39967591613424]
Predicted rank: [0], ambiguousness: [[0.7475555  0.25244454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.48914335035468]
Predicted rank: [0], ambiguousness: [[0.5639598  0.43604022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.2824749659145]
Predicted rank: [0], ambiguousness: [[0.6218705  0.37812948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.42896196090767]
Predicted rank: [0], ambiguousness: [[0.8452888  0.15471119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.60336706006292]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.85890201123411]
Predicted rank: [0], ambiguousness: [[0.8062113 0.1937887]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.2862396337918]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.15335536876213]
Predicted rank: [0], ambiguousness: [[0.6375282  0.36247182]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.90766245203245]
Predicted rank: [0], ambiguousness: [[0.5839546  0.41604546]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.15674424542013]
Predicted rank: [0], ambiguousness: [[0.61213356 0.38786644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.39737447378866]
Predicted rank: [0], ambiguousness: [[0.730222   0.26977804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.46076384873297]
Predicted rank: [0], ambiguousness: [[0.8782268  0.12177318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.72911379565457]
Predicted rank: [0], ambiguousness: [[0.7826046  0.21739545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.8316941345913]
Predicted rank: [0], ambiguousness: [[0.90358555 0.09641444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.8966744920465]
Predicted rank: [0], ambiguousness: [[0.8142396  0.18576035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.34402353818908]
Predicted rank: [0], ambiguousness: [[0.6733351  0.32666495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.44845219464756]
Predicted rank: [0], ambiguousness: [[0.878618   0.12138198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.5584454470526]
Predicted rank: [0], ambiguousness: [[0.791839   0.20816103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.6439748859701]
Predicted rank: [0], ambiguousness: [[0.66394365 0.33605635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.86790052936459]
Predicted rank: [0], ambiguousness: [[0.55668944 0.44331056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.02921983247413]
Predicted rank: [0], ambiguousness: [[0.8374969  0.16250311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.22963499885711]
Predicted rank: [0], ambiguousness: [[0.76629335 0.23370664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.54532256068902]
Predicted rank: [0], ambiguousness: [[0.7121857  0.28781432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.13658346409943]
Predicted rank: [0], ambiguousness: [[0.6509296  0.34907046]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.16624646176214]
Predicted rank: [0], ambiguousness: [[0.5621421  0.43785793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.26131544242438]
Predicted rank: [0], ambiguousness: [[0.5879947  0.41200534]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.52455601010769]
Predicted rank: [0], ambiguousness: [[0.6079402  0.39205983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.75716476380506]
Predicted rank: [0], ambiguousness: [[0.75369626 0.24630374]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.81852753873713]
Predicted rank: [0], ambiguousness: [[0.8920715  0.10792851]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.07613430620667]
Predicted rank: [0], ambiguousness: [[0.79617524 0.20382474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.17572264740863]
Predicted rank: [0], ambiguousness: [[0.90323913 0.09676087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.23807775727505]
Predicted rank: [0], ambiguousness: [[0.81052494 0.18947504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.66608368841497]
Predicted rank: [0], ambiguousness: [[0.68698907 0.31301096]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.76761354871805]
Predicted rank: [0], ambiguousness: [[0.87163967 0.12836033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.8736710052899]
Predicted rank: [0], ambiguousness: [[0.78462017 0.21537982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.95483931596608]
Predicted rank: [0], ambiguousness: [[0.6542263  0.34577373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.25561218813192]
Predicted rank: [0], ambiguousness: [[0.5913721  0.40862793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.41164194474752]
Predicted rank: [0], ambiguousness: [[0.8395629  0.16043714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.60426849276065]
Predicted rank: [0], ambiguousness: [[0.7726579 0.2273421]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.90582918444144]
Predicted rank: [0], ambiguousness: [[0.7111301  0.28886992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.46750519096737]
Predicted rank: [0], ambiguousness: [[0.6590378 0.3409622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.54050059854055]
Predicted rank: [0], ambiguousness: [[0.6044779  0.39552212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.36286141049605]
Predicted rank: [0], ambiguousness: [[0.5696727  0.43032727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.5168651595375]
Predicted rank: [0], ambiguousness: [[0.81650764 0.18349235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.7063911916759]
Predicted rank: [0], ambiguousness: [[0.7710304  0.22896957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.00235310537157]
Predicted rank: [0], ambiguousness: [[0.76849943 0.23150057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.5513743214669]
Predicted rank: [0], ambiguousness: [[0.6523894  0.34761062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.12013806937907]
Predicted rank: [0], ambiguousness: [[0.5589068 0.4410932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.12943123044903]
Predicted rank: [0], ambiguousness: [[0.57966936 0.42033067]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.04453743329461]
Predicted rank: [0], ambiguousness: [[0.5632831  0.43671688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.84694234984207]
Predicted rank: [0], ambiguousness: [[0.71193385 0.28806612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.01078152248394]
Predicted rank: [0], ambiguousness: [[0.71191216 0.28808784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.09566266816373]
Predicted rank: [0], ambiguousness: [[0.6567378  0.34326223]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.16353136868078]
Predicted rank: [0], ambiguousness: [[0.6805279  0.31947207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.66021502230416]
Predicted rank: [0], ambiguousness: [[0.55335534 0.4466447 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.88679668160712]
Predicted rank: [0], ambiguousness: [[0.5943936  0.40560636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.7547139765652]
Predicted rank: [0], ambiguousness: [[0.7251525 0.2748475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.91952621738267]
Predicted rank: [0], ambiguousness: [[0.7373713  0.26262867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.00478732784403]
Predicted rank: [0], ambiguousness: [[0.702882 0.297118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.0728238201649]
Predicted rank: [0], ambiguousness: [[0.7287948 0.2712052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.56891619158282]
Predicted rank: [0], ambiguousness: [[0.60182333 0.39817664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.80719067017657]
Predicted rank: [0], ambiguousness: [[0.57040566 0.42959434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.31789000534229]
Predicted rank: [0], ambiguousness: [[0.70437515 0.29562485]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.76071754382241]
Predicted rank: [0], ambiguousness: [[0.74127257 0.2587274 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.89142669681584]
Predicted rank: [0], ambiguousness: [[0.700819   0.29918095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.97845895459277]
Predicted rank: [0], ambiguousness: [[0.7138374 0.2861626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.41858159359806]
Predicted rank: [0], ambiguousness: [[0.5961765 0.4038235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.53097925786155]
Predicted rank: [0], ambiguousness: [[0.77505416 0.22494586]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.70109875138573]
Predicted rank: [0], ambiguousness: [[0.8333788  0.16662118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.78456047399976]
Predicted rank: [0], ambiguousness: [[0.84432775 0.15567225]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.25446500258178]
Predicted rank: [0], ambiguousness: [[0.75063896 0.24936107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.83511511937196]
Predicted rank: [0], ambiguousness: [[0.7409807  0.25901932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.94649813506413]
Predicted rank: [0], ambiguousness: [[0.7876549  0.21234514]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.41918886631176]
Predicted rank: [0], ambiguousness: [[0.74809873 0.2519013 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.01777136639528]
Predicted rank: [0], ambiguousness: [[0.6960163  0.30398372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.49510917068383]
Predicted rank: [0], ambiguousness: [[0.6860292  0.31397083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.53556881258247]
Predicted rank: [0], ambiguousness: [[0.69495976 0.3050402 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.55464700302687]
Predicted rank: [0], ambiguousness: [[0.8122901  0.18770993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.58538487543534]
Predicted rank: [0], ambiguousness: [[0.5412926 0.4587074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.13207342345711]
Predicted rank: [0], ambiguousness: [[0.68839747 0.31160253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.5981517368287]
Predicted rank: [0], ambiguousness: [[0.7387154 0.2612846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.73195379275657]
Predicted rank: [0], ambiguousness: [[0.69285583 0.30714414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.82024549237696]
Predicted rank: [0], ambiguousness: [[0.72819364 0.2718064 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.25657943629876]
Predicted rank: [0], ambiguousness: [[0.59690917 0.40309086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.43762234452325]
Predicted rank: [0], ambiguousness: [[0.77272844 0.22727159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.60867665039896]
Predicted rank: [0], ambiguousness: [[0.8190284  0.18097165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.6923766256906]
Predicted rank: [0], ambiguousness: [[0.8595673  0.14043275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.16157542557724]
Predicted rank: [0], ambiguousness: [[0.7393853 0.2606147]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.74358699470433]
Predicted rank: [0], ambiguousness: [[0.73368025 0.26631978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.85528887689628]
Predicted rank: [0], ambiguousness: [[0.7993488  0.20065123]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.32731540652524]
Predicted rank: [0], ambiguousness: [[0.74867195 0.25132805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.92691983948544]
Predicted rank: [0], ambiguousness: [[0.7161641 0.2838359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.40362766207713]
Predicted rank: [0], ambiguousness: [[0.68140996 0.31859007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.44422876119319]
Predicted rank: [0], ambiguousness: [[0.71323085 0.28676918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.46336445819298]
Predicted rank: [0], ambiguousness: [[0.81839186 0.18160813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.77387343364975]
Predicted rank: [0], ambiguousness: [[0.59850943 0.4014906 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.90634155474757]
Predicted rank: [0], ambiguousness: [[0.65893614 0.3410639 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.50740308182874]
Predicted rank: [0], ambiguousness: [[0.71846986 0.28153017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.64868926344754]
Predicted rank: [0], ambiguousness: [[0.6760982  0.32390177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.7395612874173]
Predicted rank: [0], ambiguousness: [[0.6688219  0.33117813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.17005839702108]
Predicted rank: [0], ambiguousness: [[0.5471975  0.45280248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.83571704110048]
Predicted rank: [0], ambiguousness: [[0.72559434 0.27440566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.12331661353082]
Predicted rank: [0], ambiguousness: [[0.7842436  0.21575645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.24055208073949]
Predicted rank: [0], ambiguousness: [[0.82170296 0.17829701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.62846204581501]
Predicted rank: [0], ambiguousness: [[0.69209164 0.30790836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.53393212900491]
Predicted rank: [0], ambiguousness: [[0.71429884 0.28570113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.68422451418002]
Predicted rank: [0], ambiguousness: [[0.7721771  0.22782288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.09191159645493]
Predicted rank: [0], ambiguousness: [[0.72728086 0.27271912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.798806982787]
Predicted rank: [0], ambiguousness: [[0.678784   0.32121602]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.21554454645897]
Predicted rank: [0], ambiguousness: [[0.65010166 0.34989837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.27300993635829]
Predicted rank: [0], ambiguousness: [[0.66947055 0.33052942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.29869734052079]
Predicted rank: [0], ambiguousness: [[0.8082333  0.19176668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.30845130700365]
Predicted rank: [0], ambiguousness: [[0.67616385 0.32383615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.45704288828128]
Predicted rank: [0], ambiguousness: [[0.787783 0.212217]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.8907114324382]
Predicted rank: [0], ambiguousness: [[0.7623035  0.23769653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.61288676551986]
Predicted rank: [0], ambiguousness: [[0.8269936  0.17300642]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.06107170226754]
Predicted rank: [0], ambiguousness: [[0.8084882 0.1915118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.11700727730238]
Predicted rank: [0], ambiguousness: [[0.8397639  0.16023612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.1413121640084]
Predicted rank: [0], ambiguousness: [[0.8967283  0.10327174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.74116020101552]
Predicted rank: [0], ambiguousness: [[0.6811005  0.31889948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.186182272682]
Predicted rank: [0], ambiguousness: [[0.7060123 0.2939877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.27726474528521]
Predicted rank: [0], ambiguousness: [[0.7714839  0.22851609]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.30515634171013]
Predicted rank: [0], ambiguousness: [[0.8898269  0.11017308]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.32368179755628]
Predicted rank: [0], ambiguousness: [[0.6572787  0.34272128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.37645381619073]
Predicted rank: [0], ambiguousness: [[0.8552178  0.14478219]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.39222231290358]
Predicted rank: [0], ambiguousness: [[0.67959    0.32040998]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.52535802951425]
Predicted rank: [0], ambiguousness: [[0.55144787 0.4485521 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.60786751905138]
Predicted rank: [0], ambiguousness: [[0.6231319  0.37686816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.27719752234913]
Predicted rank: [0], ambiguousness: [[0.6953958 0.3046042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.4242555003874]
Predicted rank: [0], ambiguousness: [[0.65123725 0.34876278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.51737646180615]
Predicted rank: [0], ambiguousness: [[0.64369667 0.3563033 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.94167562282965]
Predicted rank: [0], ambiguousness: [[0.53038514 0.4696149 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.63732992731062]
Predicted rank: [0], ambiguousness: [[0.7405888  0.25941125]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.93467813779174]
Predicted rank: [0], ambiguousness: [[0.791671 0.208329]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.05434843567204]
Predicted rank: [0], ambiguousness: [[0.8371194  0.16288061]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.43644585684721]
Predicted rank: [0], ambiguousness: [[0.7043346  0.29566538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.36868377593089]
Predicted rank: [0], ambiguousness: [[0.73557675 0.26442322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.52152639549104]
Predicted rank: [0], ambiguousness: [[0.8009046  0.19909541]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.92485933975006]
Predicted rank: [0], ambiguousness: [[0.750498   0.24950199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.63904109303927]
Predicted rank: [0], ambiguousness: [[0.7181375 0.2818625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.0517203276381]
Predicted rank: [0], ambiguousness: [[0.6835182  0.31648186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.11029765869495]
Predicted rank: [0], ambiguousness: [[0.7152165 0.2847835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.13641870022508]
Predicted rank: [0], ambiguousness: [[0.8169571  0.18304291]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.21507280624228]
Predicted rank: [0], ambiguousness: [[0.6990855  0.30091456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.36421012870306]
Predicted rank: [0], ambiguousness: [[0.815014   0.18498598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.79702594595824]
Predicted rank: [0], ambiguousness: [[0.7834269  0.21657309]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.52097031925715]
Predicted rank: [0], ambiguousness: [[0.8441229  0.15587714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.96840018213148]
Predicted rank: [0], ambiguousness: [[0.82177603 0.17822395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.0245481308136]
Predicted rank: [0], ambiguousness: [[0.8592707  0.14072931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.04893338471955]
Predicted rank: [0], ambiguousness: [[0.8962646  0.10373537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.65013005977627]
Predicted rank: [0], ambiguousness: [[0.70626384 0.29373616]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.094421928285]
Predicted rank: [0], ambiguousness: [[0.7362554  0.26374456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.1858243090962]
Predicted rank: [0], ambiguousness: [[0.80717754 0.19282247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.2138006774424]
Predicted rank: [0], ambiguousness: [[0.89531964 0.10468037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.23258572250204]
Predicted rank: [0], ambiguousness: [[0.7072356  0.29276443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.28548874450128]
Predicted rank: [0], ambiguousness: [[0.8657069  0.13429311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.30136292500687]
Predicted rank: [0], ambiguousness: [[0.70710695 0.29289302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.84971095815095]
Predicted rank: [0], ambiguousness: [[0.6931531  0.30684692]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.474196374072]
Predicted rank: [0], ambiguousness: [[0.7425335 0.2574665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.61584877297364]
Predicted rank: [0], ambiguousness: [[0.6906755 0.3093245]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.70687224002037]
Predicted rank: [0], ambiguousness: [[0.71314096 0.28685904]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.13705158255209]
Predicted rank: [0], ambiguousness: [[0.5911512  0.40884882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.34661152304955]
Predicted rank: [0], ambiguousness: [[0.7204334 0.2795666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.69671670400109]
Predicted rank: [0], ambiguousness: [[0.7861039 0.2138961]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.82524488810282]
Predicted rank: [0], ambiguousness: [[0.7896257  0.21037428]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.19110655674484]
Predicted rank: [0], ambiguousness: [[0.65319514 0.3468049 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.27057241875127]
Predicted rank: [0], ambiguousness: [[0.72020876 0.27979127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.4292773406374]
Predicted rank: [0], ambiguousness: [[0.7520064 0.2479936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.82551941452829]
Predicted rank: [0], ambiguousness: [[0.7105428  0.28945723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.55402186666618]
Predicted rank: [0], ambiguousness: [[0.6138784  0.38612157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.9603503697418]
Predicted rank: [0], ambiguousness: [[0.64372075 0.35627925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.021398990384]
Predicted rank: [0], ambiguousness: [[0.63120973 0.36879027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.0483428267255]
Predicted rank: [0], ambiguousness: [[0.8072002  0.19279979]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.52175797599097]
Predicted rank: [0], ambiguousness: [[0.6367873  0.36321273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.741156678934]
Predicted rank: [0], ambiguousness: [[0.7435652 0.2564348]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.07382174310689]
Predicted rank: [0], ambiguousness: [[0.7292062 0.2707938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.01100932839687]
Predicted rank: [0], ambiguousness: [[0.8005471  0.19945285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.37093040183797]
Predicted rank: [0], ambiguousness: [[0.7799656  0.22003442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.45832185882264]
Predicted rank: [0], ambiguousness: [[0.8148324 0.1851676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.49417077697532]
Predicted rank: [0], ambiguousness: [[0.8773192 0.1226808]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.41887314013877]
Predicted rank: [0], ambiguousness: [[0.68320984 0.31679016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.79159728454238]
Predicted rank: [0], ambiguousness: [[0.7080275 0.2919725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.92329213790438]
Predicted rank: [0], ambiguousness: [[0.7731945  0.22680552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.96102555568498]
Predicted rank: [0], ambiguousness: [[0.8888799  0.11112013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.01203513470062]
Predicted rank: [0], ambiguousness: [[0.65946686 0.34053317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.08003690106347]
Predicted rank: [0], ambiguousness: [[0.854022   0.14597796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.10921898682764]
Predicted rank: [0], ambiguousness: [[0.68170464 0.31829536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.19663328556419]
Predicted rank: [0], ambiguousness: [[0.6429992  0.35700086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.59601219833107]
Predicted rank: [0], ambiguousness: [[0.6694428  0.33055723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.7276389872803]
Predicted rank: [0], ambiguousness: [[0.7887497  0.21125028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.76522804393238]
Predicted rank: [0], ambiguousness: [[0.90583676 0.09416322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.86718130992213]
Predicted rank: [0], ambiguousness: [[0.82337236 0.17662767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.93304408076719]
Predicted rank: [0], ambiguousness: [[0.92655104 0.07344897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.9623122047648]
Predicted rank: [0], ambiguousness: [[0.8469286  0.15307142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.97946090013626]
Predicted rank: [0], ambiguousness: [[0.6744326  0.32556742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.05414928456176]
Predicted rank: [0], ambiguousness: [[0.8832022  0.11679778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.11924356177272]
Predicted rank: [0], ambiguousness: [[0.79266095 0.20733902]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.15405751114776]
Predicted rank: [0], ambiguousness: [[0.66505706 0.33494297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.5053765980761]
Predicted rank: [0], ambiguousness: [[0.66244686 0.33755317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.2183326326975]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.36608369228986]
Predicted rank: [0], ambiguousness: [[0.65632725 0.34367278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.45949104968565]
Predicted rank: [0], ambiguousness: [[0.6801319  0.31986806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.88318902702339]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.01566727641901]
Predicted rank: [0], ambiguousness: [[0.70508313 0.29491684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.39270041372386]
Predicted rank: [0], ambiguousness: [[0.76536655 0.23463346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.5267478385087]
Predicted rank: [0], ambiguousness: [[0.7691296  0.23087044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.88088753264475]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.03647818176498]
Predicted rank: [0], ambiguousness: [[0.70485115 0.29514882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.19991803354068]
Predicted rank: [0], ambiguousness: [[0.7377587 0.2622413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.588934648]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.33016453572026]
Predicted rank: [0], ambiguousness: [[0.5959587  0.40404132]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.72982679475365]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.79291736938603]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.82061769091348]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.31869889596292]
Predicted rank: [0], ambiguousness: [[0.6692116  0.33078837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.54345804905944]
Predicted rank: [0], ambiguousness: [[0.7811396  0.21886042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.8687952726427]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.82285745634684]
Predicted rank: [0], ambiguousness: [[0.8250444  0.17495564]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.17651593088308]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.26618616335233]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.30286125514984]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.25444822705731]
Predicted rank: [0], ambiguousness: [[0.7157469  0.28425315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.62233117825438]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.7566777400165]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.79506008744744]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.84830553586966]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.91730247954064]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.94735692640137]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.10521985693042]
Predicted rank: [0], ambiguousness: [[0.6777179  0.32228208]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.50364134672105]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.63584410001604]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.6735685538186]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.7763619876904]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.84241355021172]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.87185012174146]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.88953551030406]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.96442875555032]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.02980512598836]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.06495313459865]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.28240618514153]
Predicted rank: [0], ambiguousness: [[0.7398963  0.26010367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.64072221641439]
Predicted rank: [0], ambiguousness: [[0.79634666 0.20365335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.77043518106227]
Predicted rank: [0], ambiguousness: [[0.8321545  0.16784552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.13427381297197]
Predicted rank: [0], ambiguousness: [[0.7074357 0.2925643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.23919391883192]
Predicted rank: [0], ambiguousness: [[0.74064124 0.25935873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.39824461955462]
Predicted rank: [0], ambiguousness: [[0.7947167 0.2052833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.79410428678493]
Predicted rank: [0], ambiguousness: [[0.75284046 0.24715953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.52333604957516]
Predicted rank: [0], ambiguousness: [[0.707058 0.292942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.92931919339458]
Predicted rank: [0], ambiguousness: [[0.6797091  0.32029095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.99051456114593]
Predicted rank: [0], ambiguousness: [[0.69819987 0.3018001 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.01750766466064]
Predicted rank: [0], ambiguousness: [[0.8201994  0.17980066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.99774970560767]
Predicted rank: [0], ambiguousness: [[0.6518122  0.34818777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.24694404143608]
Predicted rank: [0], ambiguousness: [[0.72902954 0.27097046]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.54864782123525]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.57901275824763]
Predicted rank: [0], ambiguousness: [[0.7403225  0.25967756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.91496703568957]
Predicted rank: [0], ambiguousness: [[0.7783096  0.22169039]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.01339883121904]
Predicted rank: [0], ambiguousness: [[0.7783043  0.22169572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.05295180207295]
Predicted rank: [0], ambiguousness: [[0.8685261  0.13147391]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.15347020350671]
Predicted rank: [0], ambiguousness: [[0.6843416 0.3156584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.51323417843398]
Predicted rank: [0], ambiguousness: [[0.7097795  0.29022053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.65401416096134]
Predicted rank: [0], ambiguousness: [[0.7492248  0.25077522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.69370881057691]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.7530756440321]
Predicted rank: [0], ambiguousness: [[0.5880046  0.41199544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.8239888425272]
Predicted rank: [0], ambiguousness: [[0.8624835  0.13751648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.85615476692459]
Predicted rank: [0], ambiguousness: [[0.66644716 0.33355284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.37388257247281]
Predicted rank: [0], ambiguousness: [[0.6106582  0.38934177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.65919032166175]
Predicted rank: [0], ambiguousness: [[0.6381494  0.36185062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.86572984997838]
Predicted rank: [0], ambiguousness: [[0.7515321  0.24846795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.9219156471255]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.12466985253735]
Predicted rank: [0], ambiguousness: [[0.8023488 0.1976512]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.21809230956873]
Predicted rank: [0], ambiguousness: [[0.91388994 0.08611004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.27333305955739]
Predicted rank: [0], ambiguousness: [[0.82812357 0.17187645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.53909371810718]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.63881561112225]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.74090630928175]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.81697679625128]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.35049152358937]
Predicted rank: [0], ambiguousness: [[0.6443509  0.35564908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.44907253912135]
Predicted rank: [0], ambiguousness: [[0.86467075 0.13532925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.5520210014329]
Predicted rank: [0], ambiguousness: [[0.8280221 0.1719779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.68216648632648]
Predicted rank: [0], ambiguousness: [[0.82728004 0.17271993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.78603842752364]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.90149065979833]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.29371924016301]
Predicted rank: [0], ambiguousness: [[0.7643677  0.23563233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.42996779050665]
Predicted rank: [0], ambiguousness: [[0.8044174  0.19558266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.780347015831]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.98319680700138]
Predicted rank: [0], ambiguousness: [[0.69990385 0.30009615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.14728419416295]
Predicted rank: [0], ambiguousness: [[0.7597173  0.24028271]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.53558641276071]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.27817998851026]
Predicted rank: [0], ambiguousness: [[0.66344273 0.3365573 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.67719719337236]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.74056256739834]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.76835504660042]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.65621741731772]
Predicted rank: [0], ambiguousness: [[0.6238378 0.3761622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.91889073298415]
Predicted rank: [0], ambiguousness: [[0.70444596 0.29555407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.20493106608677]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.27757250154957]
Predicted rank: [0], ambiguousness: [[0.7072826 0.2927174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.60085221647697]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.70458121943167]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.74596908305493]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.92316881043186]
Predicted rank: [0], ambiguousness: [[0.6576078  0.34239218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.27484358154696]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.4206405198847]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.46148576582002]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.52518184502166]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.59783933099149]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.63165583902486]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.17426428979817]
Predicted rank: [0], ambiguousness: [[0.6361805 0.3638195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.45125563154855]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.66349826479728]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.72106876054815]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.93261710740062]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.02801446018105]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.08514368417639]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.37290126867235]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.4742539892263]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.57874989689137]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.65763972617663]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.26362481582949]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.36254447830623]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.46602086135952]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.59715375540463]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.70191213260404]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.93524964092718]
Predicted rank: [0], ambiguousness: [[0.6513014  0.34869862]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.18793572771418]
Predicted rank: [0], ambiguousness: [[0.7554511  0.24454895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.48649649461174]
Predicted rank: [0], ambiguousness: [[0.74152625 0.25847378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.52823893283534]
Predicted rank: [0], ambiguousness: [[0.81046504 0.18953495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.86198430694]
Predicted rank: [0], ambiguousness: [[0.7906393  0.20936075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.96160030228936]
Predicted rank: [0], ambiguousness: [[0.824196   0.17580403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.00153800014405]
Predicted rank: [0], ambiguousness: [[0.8803905  0.11960947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.1279226779483]
Predicted rank: [0], ambiguousness: [[0.70925796 0.290742  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.4872493016654]
Predicted rank: [0], ambiguousness: [[0.73283297 0.26716703]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.62841304462404]
Predicted rank: [0], ambiguousness: [[0.79407376 0.20592624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.66818313604855]
Predicted rank: [0], ambiguousness: [[0.8973482  0.10265177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.72781734492592]
Predicted rank: [0], ambiguousness: [[0.6865716 0.3134284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.79884819588366]
Predicted rank: [0], ambiguousness: [[0.86474264 0.13525733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.8311407494337]
Predicted rank: [0], ambiguousness: [[0.70782363 0.2921764 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.8416527216707]
Predicted rank: [0], ambiguousness: [[0.60088634 0.39911368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.09074129429376]
Predicted rank: [0], ambiguousness: [[0.62940764 0.3705924 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.3301878368153]
Predicted rank: [0], ambiguousness: [[0.7168095  0.28319052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.39340860420285]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.65782741956905]
Predicted rank: [0], ambiguousness: [[0.7222671 0.2777329]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.76031858307812]
Predicted rank: [0], ambiguousness: [[0.9169688  0.08303121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.82510345632048]
Predicted rank: [0], ambiguousness: [[0.7962178  0.20378217]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.25725144460304]
Predicted rank: [0], ambiguousness: [[0.6629478  0.33705226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.36212848495296]
Predicted rank: [0], ambiguousness: [[0.89018977 0.1098102 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.47273150970516]
Predicted rank: [0], ambiguousness: [[0.7810136  0.21898638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.55905214068244]
Predicted rank: [0], ambiguousness: [[0.60902464 0.39097533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.33505405054474]
Predicted rank: [0], ambiguousness: [[0.6010446 0.3989554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.47973673896004]
Predicted rank: [0], ambiguousness: [[0.84159696 0.15840302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.65133940399289]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.90126556166192]
Predicted rank: [0], ambiguousness: [[0.7993108 0.2006892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.31345630320939]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.13236985026136]
Predicted rank: [0], ambiguousness: [[0.63704336 0.36295664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 104.56453757609364]
Predicted rank: [0], ambiguousness: [[0.618268 0.381732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 104.83299761423223]
Predicted rank: [0], ambiguousness: [[0.7281662 0.2718338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.11395922055718]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.20551821105289]
Predicted rank: [0], ambiguousness: [[0.78009087 0.21990913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.52529068870014]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.6309598846916]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.6729738430172]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.89409309114744]
Predicted rank: [0], ambiguousness: [[0.66581535 0.33418462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.24529520270522]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.39159482630963]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.43253199959955]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.49654433794535]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.5693471950839]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.603329809097]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.52170281638826]
Predicted rank: [0], ambiguousness: [[0.5715101  0.42848992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.75344910775445]
Predicted rank: [0], ambiguousness: [[0.61118215 0.38881785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.00697301995683]
Predicted rank: [0], ambiguousness: [[0.7008394  0.29916063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.07336374280993]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.36246153871244]
Predicted rank: [0], ambiguousness: [[0.69721377 0.3027862 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.46922199511027]
Predicted rank: [0], ambiguousness: [[0.903474   0.09652603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.53832867443253]
Predicted rank: [0], ambiguousness: [[0.76806176 0.23193823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.03727997860972]
Predicted rank: [0], ambiguousness: [[0.6454426 0.3545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.14500174969034]
Predicted rank: [0], ambiguousness: [[0.877776   0.12222395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.260046800234]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.35154013320732]
Predicted rank: [0], ambiguousness: [[0.5798286 0.4201714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.143635042984]
Predicted rank: [0], ambiguousness: [[0.6369884 0.3630116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.29159841664348]
Predicted rank: [0], ambiguousness: [[0.8541065  0.14589351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.46823629732143]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.72803654660407]
Predicted rank: [0], ambiguousness: [[0.8107974 0.1892026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.16563480315483]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.06265466192337]
Predicted rank: [0], ambiguousness: [[0.65237    0.34763005]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.7936253367777]
Predicted rank: [0], ambiguousness: [[0.61258334 0.38741666]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.0391119097452]
Predicted rank: [0], ambiguousness: [[0.64001864 0.35998136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.28235252419546]
Predicted rank: [0], ambiguousness: [[0.75304234 0.24695764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.34634843667013]
Predicted rank: [0], ambiguousness: [[0.89081955 0.10918045]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.61900610790478]
Predicted rank: [0], ambiguousness: [[0.79654944 0.20345059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.72242412559791]
Predicted rank: [0], ambiguousness: [[0.9110004  0.08899964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.78821587996083]
Predicted rank: [0], ambiguousness: [[0.8229135  0.17708647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.24620447275359]
Predicted rank: [0], ambiguousness: [[0.6989838  0.30101618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.35127043686384]
Predicted rank: [0], ambiguousness: [[0.8911753  0.10882469]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.46220194037483]
Predicted rank: [0], ambiguousness: [[0.8107977  0.18920228]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.54881281445937]
Predicted rank: [0], ambiguousness: [[0.6899903 0.3100097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.7513339152562]
Predicted rank: [0], ambiguousness: [[0.5751177  0.42488232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.91408164082966]
Predicted rank: [0], ambiguousness: [[0.84799814 0.15200189]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.11675040255415]
Predicted rank: [0], ambiguousness: [[0.7794603  0.22053969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.43699783780842]
Predicted rank: [0], ambiguousness: [[0.72027975 0.27972025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.03955592687034]
Predicted rank: [0], ambiguousness: [[0.66777813 0.33222184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.06636354815427]
Predicted rank: [0], ambiguousness: [[0.59122115 0.40877885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.58331079307459]
Predicted rank: [0], ambiguousness: [[0.58046484 0.41953516]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 103.81575711212352]
Predicted rank: [0], ambiguousness: [[0.61909187 0.38090816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.07038141187718]
Predicted rank: [0], ambiguousness: [[0.73597544 0.26402456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.13687822590026]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.43067764193088]
Predicted rank: [0], ambiguousness: [[0.7816173 0.2183827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.5373769039517]
Predicted rank: [0], ambiguousness: [[0.8995657  0.10043427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.6065646967528]
Predicted rank: [0], ambiguousness: [[0.80261374 0.1973863 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.12505564937445]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.23197550841937]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.34587486590087]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.43588972169024]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.5625378035626]
Predicted rank: [0], ambiguousness: [[0.5583403  0.44165966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.7304398237178]
Predicted rank: [0], ambiguousness: [[0.8329805  0.16701949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 103.94166431271651]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.28062003241583]
Predicted rank: [0], ambiguousness: [[0.69715023 0.30284977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.93528659176172]
Predicted rank: [0], ambiguousness: [[0.6424623 0.3575377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.98690458128394]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.79142243204788]
Predicted rank: [0], ambiguousness: [[0.5899091 0.4100909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 103.9547237853378]
Predicted rank: [0], ambiguousness: [[0.8353362  0.16466378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.15869674274568]
Predicted rank: [0], ambiguousness: [[0.7926485  0.20735152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.48346288235753]
Predicted rank: [0], ambiguousness: [[0.78439844 0.2156016 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.1027184953578]
Predicted rank: [0], ambiguousness: [[0.6805683  0.31943172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.55346648775432]
Predicted rank: [0], ambiguousness: [[0.5801312  0.41986883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.16876733185036]
Predicted rank: [0], ambiguousness: [[0.6192261  0.38077393]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.32708010444955]
Predicted rank: [0], ambiguousness: [[0.8347894  0.16521059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.52379419309923]
Predicted rank: [0], ambiguousness: [[0.79537225 0.20462775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.8357606778672]
Predicted rank: [0], ambiguousness: [[0.780248   0.21975203]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.42968529632785]
Predicted rank: [0], ambiguousness: [[0.67109346 0.32890654]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.94914965160565]
Predicted rank: [0], ambiguousness: [[0.58884525 0.41115475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.05926519786637]
Predicted rank: [0], ambiguousness: [[0.5670536  0.43294638]]
Running local search 10
Switching 10 patient(s). Size of neighborhood: 184756
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.41202110048724]
Predicted rank: [0], ambiguousness: [[0.65635777 0.34364226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.24340143061809]
Predicted rank: [0], ambiguousness: [[0.66077745 0.33922252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.57793057839874]
Predicted rank: [0], ambiguousness: [[0.6456202 0.3543798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.8697960872798]
Predicted rank: [0], ambiguousness: [[0.78089595 0.21910402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.11669944298356]
Predicted rank: [0], ambiguousness: [[0.76891357 0.23108645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.24013701864355]
Predicted rank: [0], ambiguousness: [[0.6839864 0.3160136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.33532318763048]
Predicted rank: [0], ambiguousness: [[0.75241524 0.24758475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.65629104926994]
Predicted rank: [0], ambiguousness: [[0.52186024 0.47813976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.28188105615706]
Predicted rank: [0], ambiguousness: [[0.68710595 0.31289405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.69872420758793]
Predicted rank: [0], ambiguousness: [[0.8014507  0.19854929]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.94745797790955]
Predicted rank: [0], ambiguousness: [[0.8004275 0.1995725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.07161377914588]
Predicted rank: [0], ambiguousness: [[0.7288975 0.2711025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.16711831545112]
Predicted rank: [0], ambiguousness: [[0.79947084 0.20052917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.48694659366146]
Predicted rank: [0], ambiguousness: [[0.57214636 0.42785364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.18877516030742]
Predicted rank: [0], ambiguousness: [[0.6768031  0.32319692]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.47721201546338]
Predicted rank: [0], ambiguousness: [[0.76963985 0.23036012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.16644232979361]
Predicted rank: [0], ambiguousness: [[0.7895225 0.2104775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.36159118111556]
Predicted rank: [0], ambiguousness: [[0.709306 0.290694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.48684698111961]
Predicted rank: [0], ambiguousness: [[0.77231103 0.22768897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.71760662528035]
Predicted rank: [0], ambiguousness: [[0.5448646 0.4551354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.41795858734277]
Predicted rank: [0], ambiguousness: [[0.8185463  0.18145373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.66721282422856]
Predicted rank: [0], ambiguousness: [[0.84690654 0.15309346]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.78514769386447]
Predicted rank: [0], ambiguousness: [[0.892792   0.10720798]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.06636479760044]
Predicted rank: [0], ambiguousness: [[0.72397 0.27603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.87256546801493]
Predicted rank: [0], ambiguousness: [[0.7767698 0.2232302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.0296476780446]
Predicted rank: [0], ambiguousness: [[0.82782805 0.17217194]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.31601840825834]
Predicted rank: [0], ambiguousness: [[0.70659035 0.29340965]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.13441934002357]
Predicted rank: [0], ambiguousness: [[0.729216   0.27078402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.42789627784805]
Predicted rank: [0], ambiguousness: [[0.62656224 0.37343773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.48615119701041]
Predicted rank: [0], ambiguousness: [[0.64652574 0.35347423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.51338586641728]
Predicted rank: [0], ambiguousness: [[0.7821979 0.2178021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.77310780129153]
Predicted rank: [0], ambiguousness: [[0.6533108  0.34668922]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.12929802004408]
Predicted rank: [0], ambiguousness: [[0.7732154  0.22678462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.86305727769323]
Predicted rank: [0], ambiguousness: [[0.80291575 0.19708425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.06411476105066]
Predicted rank: [0], ambiguousness: [[0.731979   0.26802102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.19178507371979]
Predicted rank: [0], ambiguousness: [[0.80196804 0.19803195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.41516422354762]
Predicted rank: [0], ambiguousness: [[0.58358556 0.41641444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.24664615141842]
Predicted rank: [0], ambiguousness: [[0.83048916 0.16951084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.49766850976113]
Predicted rank: [0], ambiguousness: [[0.853325 0.146675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.61605519453303]
Predicted rank: [0], ambiguousness: [[0.9033073  0.09669265]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.89591193232827]
Predicted rank: [0], ambiguousness: [[0.7425982 0.2574018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.70470124559648]
Predicted rank: [0], ambiguousness: [[0.79569644 0.20430356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.8623885309922]
Predicted rank: [0], ambiguousness: [[0.8516429  0.14835708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.14747863460667]
Predicted rank: [0], ambiguousness: [[0.73816425 0.26183575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.96783618965036]
Predicted rank: [0], ambiguousness: [[0.76559854 0.23440148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.26009779228153]
Predicted rank: [0], ambiguousness: [[0.66933215 0.33066785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.31862048410218]
Predicted rank: [0], ambiguousness: [[0.7018316  0.29816842]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.34596361433702]
Predicted rank: [0], ambiguousness: [[0.80640304 0.19359697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.13527506254982]
Predicted rank: [0], ambiguousness: [[0.6926253  0.30737475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.8005813531536]
Predicted rank: [0], ambiguousness: [[0.7726314 0.2273686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.75268091159927]
Predicted rank: [0], ambiguousness: [[0.7952901 0.2047099]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.96538574307893]
Predicted rank: [0], ambiguousness: [[0.7164824  0.28351757]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.09704413742219]
Predicted rank: [0], ambiguousness: [[0.7633145  0.23668551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.31149727920618]
Predicted rank: [0], ambiguousness: [[0.533515   0.46648502]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.76475019328447]
Predicted rank: [0], ambiguousness: [[0.7921114  0.20788859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.19982750429777]
Predicted rank: [0], ambiguousness: [[0.8237135 0.1762865]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.3709963478546]
Predicted rank: [0], ambiguousness: [[0.87552875 0.12447122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.52093826084828]
Predicted rank: [0], ambiguousness: [[0.6956476  0.30435237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.84407991234534]
Predicted rank: [0], ambiguousness: [[0.77947176 0.22052827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.06222519379034]
Predicted rank: [0], ambiguousness: [[0.8300472  0.16995281]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.24486567020358]
Predicted rank: [0], ambiguousness: [[0.7162179  0.28378212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.23475486046635]
Predicted rank: [0], ambiguousness: [[0.73229516 0.26770484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.43146800711371]
Predicted rank: [0], ambiguousness: [[0.63746846 0.36253154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.51636188594745]
Predicted rank: [0], ambiguousness: [[0.6571679  0.34283206]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.55392649469471]
Predicted rank: [0], ambiguousness: [[0.79574126 0.20425875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.10687708793736]
Predicted rank: [0], ambiguousness: [[0.7469542  0.25304583]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.3187680157198]
Predicted rank: [0], ambiguousness: [[0.8424975  0.15750249]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.5469759702232]
Predicted rank: [0], ambiguousness: [[0.75217706 0.24782293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.54843304278552]
Predicted rank: [0], ambiguousness: [[0.85896236 0.14103763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.79853512057204]
Predicted rank: [0], ambiguousness: [[0.805389 0.194611]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.8793742268716]
Predicted rank: [0], ambiguousness: [[0.8405223  0.15947768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.91422947063997]
Predicted rank: [0], ambiguousness: [[0.89609206 0.10390794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.74609205348008]
Predicted rank: [0], ambiguousness: [[0.7635059  0.23649414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.99281901277341]
Predicted rank: [0], ambiguousness: [[0.694449 0.305551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.12326763677552]
Predicted rank: [0], ambiguousness: [[0.76162624 0.23837373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.16297808348207]
Predicted rank: [0], ambiguousness: [[0.8818732  0.11812682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.19439690888078]
Predicted rank: [0], ambiguousness: [[0.644763   0.35523698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.2686710510913]
Predicted rank: [0], ambiguousness: [[0.8452002  0.15479983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.29307868567503]
Predicted rank: [0], ambiguousness: [[0.6674769 0.3325231]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.67423058524045]
Predicted rank: [0], ambiguousness: [[0.6759224 0.3240776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.2428328176754]
Predicted rank: [0], ambiguousness: [[0.7567987 0.2432013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.32596279532235]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.54972966015137]
Predicted rank: [0], ambiguousness: [[0.707513   0.29248706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.68571431681684]
Predicted rank: [0], ambiguousness: [[0.75532067 0.24467936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.88805350771491]
Predicted rank: [0], ambiguousness: [[0.52573305 0.47426695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.39780515783903]
Predicted rank: [0], ambiguousness: [[0.8148774  0.18512264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.85156888675209]
Predicted rank: [0], ambiguousness: [[0.83940965 0.16059034]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.0274091230114]
Predicted rank: [0], ambiguousness: [[0.89354235 0.10645764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.16601215290174]
Predicted rank: [0], ambiguousness: [[0.71528494 0.2847151 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.5406217174968]
Predicted rank: [0], ambiguousness: [[0.8079914  0.19200858]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.76365695913846]
Predicted rank: [0], ambiguousness: [[0.8611585 0.1388415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.93781119634782]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.94178685308347]
Predicted rank: [0], ambiguousness: [[0.77920216 0.22079784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.1305852627914]
Predicted rank: [0], ambiguousness: [[0.6794663 0.3205337]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.21760729955328]
Predicted rank: [0], ambiguousness: [[0.7113992  0.28860083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.2559997768015]
Predicted rank: [0], ambiguousness: [[0.80822074 0.19177923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.94060476726517]
Predicted rank: [0], ambiguousness: [[0.7784841  0.22151592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.15353105049412]
Predicted rank: [0], ambiguousness: [[0.87168205 0.12831795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.38009430804061]
Predicted rank: [0], ambiguousness: [[0.780243   0.21975704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.384928961918]
Predicted rank: [0], ambiguousness: [[0.8807059  0.11929409]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.63357383542609]
Predicted rank: [0], ambiguousness: [[0.8241844  0.17581555]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.71481504559962]
Predicted rank: [0], ambiguousness: [[0.86428183 0.13571815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.74982206498247]
Predicted rank: [0], ambiguousness: [[0.8976012  0.10239879]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.58425352260113]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.82957074588822]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.9606265203949]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.00049717542686]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.03240610448687]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.10692886136894]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.13153559739774]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.71193987336918]
Predicted rank: [0], ambiguousness: [[0.7885976 0.2114024]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.70457556377039]
Predicted rank: [0], ambiguousness: [[0.81640327 0.18359675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.91790759504315]
Predicted rank: [0], ambiguousness: [[0.7430979 0.2569021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.04982685539746]
Predicted rank: [0], ambiguousness: [[0.8008354  0.19916463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.26372323093884]
Predicted rank: [0], ambiguousness: [[0.586632   0.41336802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.96426911077748]
Predicted rank: [0], ambiguousness: [[0.8076036  0.19239639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.5033515212507]
Predicted rank: [0], ambiguousness: [[0.8348521  0.16514787]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.69334932869268]
Predicted rank: [0], ambiguousness: [[0.8747824  0.12521762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.80588357051784]
Predicted rank: [0], ambiguousness: [[0.66513896 0.33486104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.41881644728622]
Predicted rank: [0], ambiguousness: [[0.7956629 0.2043371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.65099121320583]
Predicted rank: [0], ambiguousness: [[0.83163273 0.16836725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.81423182787064]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.84038306517894]
Predicted rank: [0], ambiguousness: [[0.73849726 0.26150277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.01943937350414]
Predicted rank: [0], ambiguousness: [[0.6394282 0.3605718]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.11030368337416]
Predicted rank: [0], ambiguousness: [[0.6268538  0.37314618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.14995666897471]
Predicted rank: [0], ambiguousness: [[0.79811335 0.20188668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.31469226750923]
Predicted rank: [0], ambiguousness: [[0.72618544 0.27381456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.63841226519253]
Predicted rank: [0], ambiguousness: [[0.8172118 0.1827882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.7046552285534]
Predicted rank: [0], ambiguousness: [[0.7255044  0.27449557]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.0484495450682]
Predicted rank: [0], ambiguousness: [[0.84548503 0.15451497]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.15702032533736]
Predicted rank: [0], ambiguousness: [[0.78278965 0.21721037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.28740834153325]
Predicted rank: [0], ambiguousness: [[0.8210965 0.1789035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.3404174037693]
Predicted rank: [0], ambiguousness: [[0.8788669 0.1211331]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.68986506031021]
Predicted rank: [0], ambiguousness: [[0.7771956  0.22280443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.82102553147104]
Predicted rank: [0], ambiguousness: [[0.70415366 0.29584637]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.0152499560314]
Predicted rank: [0], ambiguousness: [[0.76990426 0.23009571]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.07036979844139]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.15259389409346]
Predicted rank: [0], ambiguousness: [[0.65526235 0.34473762]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.25079615684153]
Predicted rank: [0], ambiguousness: [[0.84672284 0.15327713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.29613599321067]
Predicted rank: [0], ambiguousness: [[0.67764056 0.32235944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.9596225199198]
Predicted rank: [0], ambiguousness: [[0.7444524  0.25554758]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.13810074322197]
Predicted rank: [0], ambiguousness: [[0.665299 0.334701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.32840811772132]
Predicted rank: [0], ambiguousness: [[0.7856226  0.21437739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.38233906107652]
Predicted rank: [0], ambiguousness: [[0.90082765 0.09917238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.53741517588941]
Predicted rank: [0], ambiguousness: [[0.8257637  0.17423627]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.6308501118757]
Predicted rank: [0], ambiguousness: [[0.9250275  0.07497253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.67492493216889]
Predicted rank: [0], ambiguousness: [[0.8523037  0.14769632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.71433908598455]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.81983438825966]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.91460983277761]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.96992549117769]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.07830790533345]
Predicted rank: [0], ambiguousness: [[0.7644784  0.23552163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.24100601275717]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.46601352969614]
Predicted rank: [0], ambiguousness: [[0.7124691  0.28753093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.6025143154871]
Predicted rank: [0], ambiguousness: [[0.77500594 0.22499403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.80375563672243]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.35585360708382]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.94661853890676]
Predicted rank: [0], ambiguousness: [[0.8107654  0.18923461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.14722129484382]
Predicted rank: [0], ambiguousness: [[0.85551155 0.14448847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.2368458478054]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.99604827631481]
Predicted rank: [0], ambiguousness: [[0.775261 0.224739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.2373180257998]
Predicted rank: [0], ambiguousness: [[0.8139826  0.18601741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.38645158980776]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.43723398036734]
Predicted rank: [0], ambiguousness: [[0.7144361 0.2855639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.60326649031069]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.6980475598929]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.7391480358625]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.95006606882691]
Predicted rank: [0], ambiguousness: [[0.74504817 0.2549518 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.28406354417686]
Predicted rank: [0], ambiguousness: [[0.84012437 0.15987563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.33602025643982]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.71237006938549]
Predicted rank: [0], ambiguousness: [[0.85992324 0.14007677]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.80872313428632]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.94347306360486]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.99806154669172]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.39916026963957]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.52088292777901]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.72018789920672]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.77654696975526]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.86303254407727]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.96314238477507]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.01014313041765]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.80808245851841]
Predicted rank: [0], ambiguousness: [[0.76458526 0.23541471]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.98471240405256]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.1761124765466]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.23029943695317]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.38696495820957]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.48075812448582]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.52515046859132]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.56556764996483]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.67145188282447]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.76676143639659]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.82270716634244]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.8734483530755]
Predicted rank: [0], ambiguousness: [[0.8072537  0.19274625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.42679417900354]
Predicted rank: [0], ambiguousness: [[0.83702755 0.16297242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.61884834228667]
Predicted rank: [0], ambiguousness: [[0.8854736  0.11452641]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.72780848700404]
Predicted rank: [0], ambiguousness: [[0.70888495 0.29111505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.38486908777799]
Predicted rank: [0], ambiguousness: [[0.8048767  0.19512333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.61763942638467]
Predicted rank: [0], ambiguousness: [[0.8507415  0.14925852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.78020968514402]
Predicted rank: [0], ambiguousness: [[0.74058247 0.25941756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.80762512914689]
Predicted rank: [0], ambiguousness: [[0.76147175 0.23852827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.98607537196592]
Predicted rank: [0], ambiguousness: [[0.6654359  0.33456412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.07719235745836]
Predicted rank: [0], ambiguousness: [[0.68436813 0.3156319 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.11693010541192]
Predicted rank: [0], ambiguousness: [[0.8097887 0.1902113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.46715620349225]
Predicted rank: [0], ambiguousness: [[0.7300286 0.2699714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.8405781690486]
Predicted rank: [0], ambiguousness: [[0.8071273  0.19287269]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.85425001506914]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.35412636389134]
Predicted rank: [0], ambiguousness: [[0.8369872  0.16301282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.4219600992862]
Predicted rank: [0], ambiguousness: [[0.7731564  0.22684361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.57075205922362]
Predicted rank: [0], ambiguousness: [[0.7775993  0.22240074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.62993223331156]
Predicted rank: [0], ambiguousness: [[0.8688424  0.13115759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.2723424303288]
Predicted rank: [0], ambiguousness: [[0.7796092 0.2203908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.38149160402989]
Predicted rank: [0], ambiguousness: [[0.6962475  0.30375248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.59088539369351]
Predicted rank: [0], ambiguousness: [[0.73685014 0.26314983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.64926955507212]
Predicted rank: [0], ambiguousness: [[0.88339156 0.11660844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.74535531470363]
Predicted rank: [0], ambiguousness: [[0.5722167 0.4277833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.84842078365456]
Predicted rank: [0], ambiguousness: [[0.8540857  0.14591435]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.89871990539625]
Predicted rank: [0], ambiguousness: [[0.6518857 0.3481143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.12200249618743]
Predicted rank: [0], ambiguousness: [[0.7078078 0.2921922]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.11717112010199]
Predicted rank: [0], ambiguousness: [[0.6230512  0.37694877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.42591768439576]
Predicted rank: [0], ambiguousness: [[0.7392317  0.26076832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.50917140120661]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.82412375380125]
Predicted rank: [0], ambiguousness: [[0.79760903 0.20239097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.96110887331696]
Predicted rank: [0], ambiguousness: [[0.9111876 0.0888124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.04598772558973]
Predicted rank: [0], ambiguousness: [[0.8275419  0.17245813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.48155840206931]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.62642897494082]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.77923167776325]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.89907389832712]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.81385784982974]
Predicted rank: [0], ambiguousness: [[0.6293613 0.3706387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.95455735327018]
Predicted rank: [0], ambiguousness: [[0.85638416 0.14361581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.1052237578505]
Predicted rank: [0], ambiguousness: [[0.81859434 0.1814057 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.30179506108553]
Predicted rank: [0], ambiguousness: [[0.8230063  0.17699371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.4674253296465]
Predicted rank: [0], ambiguousness: [[0.66326773 0.3367323 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.22554911566677]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.84078924180467]
Predicted rank: [0], ambiguousness: [[0.81715274 0.18284729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.04477934302906]
Predicted rank: [0], ambiguousness: [[0.87059337 0.12940662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.1287450582065]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.96471621031316]
Predicted rank: [0], ambiguousness: [[0.77942705 0.22057295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.20667207418917]
Predicted rank: [0], ambiguousness: [[0.83001053 0.16998947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.35524075894116]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.40719694139433]
Predicted rank: [0], ambiguousness: [[0.7322442 0.2677558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.57273347418874]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.66780254714803]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.70899249972555]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.88991990296708]
Predicted rank: [0], ambiguousness: [[0.70549905 0.29450098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.28794753409005]
Predicted rank: [0], ambiguousness: [[0.78756446 0.21243556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.27254266421482]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.84997718787187]
Predicted rank: [0], ambiguousness: [[0.8131421  0.18685786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.89426707139872]
Predicted rank: [0], ambiguousness: [[0.75111175 0.24888824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.05271550621438]
Predicted rank: [0], ambiguousness: [[0.7558501  0.24414991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.11523753112758]
Predicted rank: [0], ambiguousness: [[0.8488154  0.15118463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.89761551354823]
Predicted rank: [0], ambiguousness: [[0.7580918  0.24190822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.99175940543265]
Predicted rank: [0], ambiguousness: [[0.67963606 0.32036394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.21030561348387]
Predicted rank: [0], ambiguousness: [[0.7215712 0.2784288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.2707818133388]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.37472106849415]
Predicted rank: [0], ambiguousness: [[0.55317545 0.44682458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.48096934406436]
Predicted rank: [0], ambiguousness: [[0.8383317 0.1616683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.53426325825447]
Predicted rank: [0], ambiguousness: [[0.62391376 0.37608624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.80185457188803]
Predicted rank: [0], ambiguousness: [[0.7297797  0.27022025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.78161458934639]
Predicted rank: [0], ambiguousness: [[0.6554973 0.3445027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.10074559983306]
Predicted rank: [0], ambiguousness: [[0.77683467 0.22316533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.18651478911767]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.51745326137927]
Predicted rank: [0], ambiguousness: [[0.82203597 0.17796405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.65803762964228]
Predicted rank: [0], ambiguousness: [[0.91395825 0.08604177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.74633724606406]
Predicted rank: [0], ambiguousness: [[0.83558965 0.16441037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.2219024574402]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.3697423080745]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.52691294613024]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.65185508983689]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.69818518467395]
Predicted rank: [0], ambiguousness: [[0.6641793 0.3358207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.83948889995627]
Predicted rank: [0], ambiguousness: [[0.8679092 0.1320908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.99109599384076]
Predicted rank: [0], ambiguousness: [[0.8357048  0.16429523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.18942431871301]
Predicted rank: [0], ambiguousness: [[0.83341926 0.16658072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.35661243091334]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.40408276019926]
Predicted rank: [0], ambiguousness: [[0.72779393 0.27220604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.7833231848598]
Predicted rank: [0], ambiguousness: [[0.8184193 0.1815807]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.79175464264453]
Predicted rank: [0], ambiguousness: [[0.7271154  0.27288458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.3106849816742]
Predicted rank: [0], ambiguousness: [[0.84070003 0.15929995]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.37487385743816]
Predicted rank: [0], ambiguousness: [[0.77657616 0.22342381]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.5256199495814]
Predicted rank: [0], ambiguousness: [[0.8157209  0.18427911]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.58543218679944]
Predicted rank: [0], ambiguousness: [[0.8749628 0.1250372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.2713296130573]
Predicted rank: [0], ambiguousness: [[0.7887497  0.21125032]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.37989621150803]
Predicted rank: [0], ambiguousness: [[0.7181217 0.2818783]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.58984883541513]
Predicted rank: [0], ambiguousness: [[0.7817303  0.21826972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.64833842294223]
Predicted rank: [0], ambiguousness: [[0.8899257 0.1100743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.74479469251776]
Predicted rank: [0], ambiguousness: [[0.67045844 0.32954153]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.84802588522327]
Predicted rank: [0], ambiguousness: [[0.8553425  0.14465748]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.89850883459277]
Predicted rank: [0], ambiguousness: [[0.69231343 0.30768654]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.28572699792727]
Predicted rank: [0], ambiguousness: [[0.70882726 0.29117277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.21960660013187]
Predicted rank: [0], ambiguousness: [[0.61201644 0.38798356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.5830608616753]
Predicted rank: [0], ambiguousness: [[0.70157516 0.2984248 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.6779864642356]
Predicted rank: [0], ambiguousness: [[0.88245517 0.11754482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.09525657708474]
Predicted rank: [0], ambiguousness: [[0.705323   0.29467702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.24733147200476]
Predicted rank: [0], ambiguousness: [[0.91008383 0.08991619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.34800664212791]
Predicted rank: [0], ambiguousness: [[0.7867429  0.21325706]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.05942887900898]
Predicted rank: [0], ambiguousness: [[0.6462459 0.3537541]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.21285884219262]
Predicted rank: [0], ambiguousness: [[0.8823175  0.11768252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.37977171297754]
Predicted rank: [0], ambiguousness: [[0.7681159  0.23188414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.51651729444727]
Predicted rank: [0], ambiguousness: [[0.5912981 0.4087019]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.69180126752187]
Predicted rank: [0], ambiguousness: [[0.5832038 0.4167962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.90539267234774]
Predicted rank: [0], ambiguousness: [[0.8309028 0.1690972]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.16437861595814]
Predicted rank: [0], ambiguousness: [[0.7880673  0.21193273]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.55060451922466]
Predicted rank: [0], ambiguousness: [[0.7856723  0.21432771]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.20630413726644]
Predicted rank: [0], ambiguousness: [[0.6612415  0.33875853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.55211674410404]
Predicted rank: [0], ambiguousness: [[0.619794   0.38020596]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.0655102941099]
Predicted rank: [0], ambiguousness: [[0.7104753  0.28952464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.46312253065915]
Predicted rank: [0], ambiguousness: [[0.80532426 0.19467574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.45154028305384]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.02864606008173]
Predicted rank: [0], ambiguousness: [[0.82887584 0.17112415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.07719846431432]
Predicted rank: [0], ambiguousness: [[0.7606187  0.23938134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.23491603416602]
Predicted rank: [0], ambiguousness: [[0.8018458 0.1981542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.29709224348352]
Predicted rank: [0], ambiguousness: [[0.85961163 0.1403884 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.0970018654068]
Predicted rank: [0], ambiguousness: [[0.76345885 0.23654114]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.19727109048785]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.41277169013264]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.4724838909456]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.57369680135467]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.67878068791218]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.7310830243993]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.01286383733533]
Predicted rank: [0], ambiguousness: [[0.68516463 0.31483537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.92750153660427]
Predicted rank: [0], ambiguousness: [[0.5956718  0.40432826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.30698339192858]
Predicted rank: [0], ambiguousness: [[0.6870743  0.31292567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.40546717967007]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.85144114868058]
Predicted rank: [0], ambiguousness: [[0.69092405 0.30907598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.00827144205927]
Predicted rank: [0], ambiguousness: [[0.90048033 0.09951966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.113810513324]
Predicted rank: [0], ambiguousness: [[0.7673339  0.23266608]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.9051112078584]
Predicted rank: [0], ambiguousness: [[0.63047254 0.36952743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.06151496732497]
Predicted rank: [0], ambiguousness: [[0.8701715  0.12982853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.23317468250828]
Predicted rank: [0], ambiguousness: [[0.7475555  0.25244454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.37543448813068]
Predicted rank: [0], ambiguousness: [[0.5639598  0.43604022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.5829945608002]
Predicted rank: [0], ambiguousness: [[0.6218705  0.37812948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.79969253782403]
Predicted rank: [0], ambiguousness: [[0.8452888  0.15471119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.06350469727053]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.45943188146865]
Predicted rank: [0], ambiguousness: [[0.8062113 0.1937887]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.14160657470882]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.57194366699727]
Predicted rank: [0], ambiguousness: [[0.6375282  0.36247182]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.40336867900508]
Predicted rank: [0], ambiguousness: [[0.69815576 0.30184427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.338551799259]
Predicted rank: [0], ambiguousness: [[0.61213356 0.38786644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.70313310758769]
Predicted rank: [0], ambiguousness: [[0.730222   0.26977804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.79813498761106]
Predicted rank: [0], ambiguousness: [[0.8782268  0.12177318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.22071206645779]
Predicted rank: [0], ambiguousness: [[0.7826046  0.21739545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.37264014179907]
Predicted rank: [0], ambiguousness: [[0.90358555 0.09641444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.47336474864784]
Predicted rank: [0], ambiguousness: [[0.8142396  0.18576035]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.20733770633615]
Predicted rank: [0], ambiguousness: [[0.6733351  0.32666495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.35975444156726]
Predicted rank: [0], ambiguousness: [[0.878618   0.12138198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.52526778318254]
Predicted rank: [0], ambiguousness: [[0.791839   0.20816103]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.66025395302076]
Predicted rank: [0], ambiguousness: [[0.66394365 0.33605635]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.93256337991528]
Predicted rank: [0], ambiguousness: [[0.55668944 0.44331056]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.17331900807963]
Predicted rank: [0], ambiguousness: [[0.8374969  0.16250311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.47932340237145]
Predicted rank: [0], ambiguousness: [[0.76629335 0.23370664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.97296690148042]
Predicted rank: [0], ambiguousness: [[0.7121857  0.28781432]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.92141830204379]
Predicted rank: [0], ambiguousness: [[0.6509296  0.34907046]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.48255793955752]
Predicted rank: [0], ambiguousness: [[0.5621421  0.43785793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.11392205393825]
Predicted rank: [0], ambiguousness: [[0.7115495  0.28845048]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.07887485472651]
Predicted rank: [0], ambiguousness: [[0.6079402  0.39205983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.42639279449222]
Predicted rank: [0], ambiguousness: [[0.75369626 0.24630374]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.51714153566672]
Predicted rank: [0], ambiguousness: [[0.8920715  0.10792851]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.91620565024834]
Predicted rank: [0], ambiguousness: [[0.79617524 0.20382474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.06188203514033]
Predicted rank: [0], ambiguousness: [[0.90323913 0.09676087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.15709522721264]
Predicted rank: [0], ambiguousness: [[0.81052494 0.18947504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.84609753971523]
Predicted rank: [0], ambiguousness: [[0.68698907 0.31301096]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.99261714549898]
Predicted rank: [0], ambiguousness: [[0.87163967 0.12836033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.1500903107792]
Predicted rank: [0], ambiguousness: [[0.78462017 0.21537982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.27618509350611]
Predicted rank: [0], ambiguousness: [[0.6542263  0.34577373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.70796748523438]
Predicted rank: [0], ambiguousness: [[0.5913721  0.40862793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.9377271674502]
Predicted rank: [0], ambiguousness: [[0.8395629  0.16043714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.22746397061763]
Predicted rank: [0], ambiguousness: [[0.7726579 0.2273421]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.69123384066324]
Predicted rank: [0], ambiguousness: [[0.7111301  0.28886992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.57558154651002]
Predicted rank: [0], ambiguousness: [[0.6590378 0.3409622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.21852757858628]
Predicted rank: [0], ambiguousness: [[0.6044779  0.39552212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.89677171751799]
Predicted rank: [0], ambiguousness: [[0.5696727  0.43032727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.12288237029865]
Predicted rank: [0], ambiguousness: [[0.81650764 0.18349235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.40701784766665]
Predicted rank: [0], ambiguousness: [[0.7710304  0.22896957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.8605217487614]
Predicted rank: [0], ambiguousness: [[0.76849943 0.23150057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.72117974710459]
Predicted rank: [0], ambiguousness: [[0.6523894  0.34761062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.56116531528176]
Predicted rank: [0], ambiguousness: [[0.5589068 0.4410932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.24338248939173]
Predicted rank: [0], ambiguousness: [[0.6434675 0.3565325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.57791163717236]
Predicted rank: [0], ambiguousness: [[0.6279722 0.3720278]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.86977714605342]
Predicted rank: [0], ambiguousness: [[0.76557416 0.23442584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.11668050175719]
Predicted rank: [0], ambiguousness: [[0.7550763  0.24492373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.24011807741718]
Predicted rank: [0], ambiguousness: [[0.6672644 0.3327356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.3353042464041]
Predicted rank: [0], ambiguousness: [[0.73598987 0.26401013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.65627210804357]
Predicted rank: [0], ambiguousness: [[0.55335534 0.4466447 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.2812564719435]
Predicted rank: [0], ambiguousness: [[0.6572783  0.34272173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.69809962337433]
Predicted rank: [0], ambiguousness: [[0.777102   0.22289804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.94683339369595]
Predicted rank: [0], ambiguousness: [[0.7779109 0.2220891]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.0709891949323]
Predicted rank: [0], ambiguousness: [[0.71261275 0.28738722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.16649373123752]
Predicted rank: [0], ambiguousness: [[0.7786035  0.22139652]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.48632200944786]
Predicted rank: [0], ambiguousness: [[0.60182333 0.39817664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.18815057609385]
Predicted rank: [0], ambiguousness: [[0.6473588  0.35264122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.47658743124978]
Predicted rank: [0], ambiguousness: [[0.75894636 0.24105364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.16581774558003]
Predicted rank: [0], ambiguousness: [[0.7813885  0.21861146]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.36096659690196]
Predicted rank: [0], ambiguousness: [[0.7105895  0.28941044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.48622239690602]
Predicted rank: [0], ambiguousness: [[0.7655092 0.2344908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.71698204106676]
Predicted rank: [0], ambiguousness: [[0.5961765 0.4038235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.41733400312917]
Predicted rank: [0], ambiguousness: [[0.81126577 0.18873423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.66658824001497]
Predicted rank: [0], ambiguousness: [[0.850981   0.14901897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.78452310965088]
Predicted rank: [0], ambiguousness: [[0.8775552  0.12244482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.06574021338685]
Predicted rank: [0], ambiguousness: [[0.75063896 0.24936107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.87194088380134]
Predicted rank: [0], ambiguousness: [[0.7778488  0.22215122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.02902309383101]
Predicted rank: [0], ambiguousness: [[0.8223031  0.17769688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.31539382404475]
Predicted rank: [0], ambiguousness: [[0.74809873 0.2519013 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.13379475580997]
Predicted rank: [0], ambiguousness: [[0.7195791  0.28042087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.42727169363445]
Predicted rank: [0], ambiguousness: [[0.6860292  0.31397083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.48552661279683]
Predicted rank: [0], ambiguousness: [[0.69495976 0.3050402 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.51276128220368]
Predicted rank: [0], ambiguousness: [[0.8122901  0.18770993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.77025937384582]
Predicted rank: [0], ambiguousness: [[0.6199864  0.38001356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.12644959259836]
Predicted rank: [0], ambiguousness: [[0.7448497 0.2551503]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.86020885024752]
Predicted rank: [0], ambiguousness: [[0.77910966 0.22089036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.06126633360496]
Predicted rank: [0], ambiguousness: [[0.7027762  0.29722384]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.18893664627409]
Predicted rank: [0], ambiguousness: [[0.77807903 0.22192097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.41231579610192]
Predicted rank: [0], ambiguousness: [[0.59690917 0.40309086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.24379772397273]
Predicted rank: [0], ambiguousness: [[0.8092223  0.19077772]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.49482008231544]
Predicted rank: [0], ambiguousness: [[0.8378516  0.16214842]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.61320676708735]
Predicted rank: [0], ambiguousness: [[0.88996583 0.11003419]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.89306350488258]
Predicted rank: [0], ambiguousness: [[0.7393853 0.2606147]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.70185281815078]
Predicted rank: [0], ambiguousness: [[0.7712667  0.22873327]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.8595401035465]
Predicted rank: [0], ambiguousness: [[0.83249474 0.1675053 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.14463020716097]
Predicted rank: [0], ambiguousness: [[0.74867195 0.25132805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.96498776220467]
Predicted rank: [0], ambiguousness: [[0.7387514  0.26124856]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.25724936483584]
Predicted rank: [0], ambiguousness: [[0.68140996 0.31859007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.3157720566565]
Predicted rank: [0], ambiguousness: [[0.71323085 0.28676918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.34311518689134]
Predicted rank: [0], ambiguousness: [[0.81839186 0.18160813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.13242663510411]
Predicted rank: [0], ambiguousness: [[0.6611197  0.33888027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.7977329257079]
Predicted rank: [0], ambiguousness: [[0.74421686 0.25578314]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.74983248415356]
Predicted rank: [0], ambiguousness: [[0.7708258 0.2291742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.96253731563321]
Predicted rank: [0], ambiguousness: [[0.6863147  0.31368527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.09419570997647]
Predicted rank: [0], ambiguousness: [[0.73629594 0.2637041 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.30864885176048]
Predicted rank: [0], ambiguousness: [[0.5471975  0.45280248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.76190176583877]
Predicted rank: [0], ambiguousness: [[0.76737833 0.23262167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.19697907685207]
Predicted rank: [0], ambiguousness: [[0.805827   0.19417295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.36814792040889]
Predicted rank: [0], ambiguousness: [[0.8589529  0.14104712]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.51808983340257]
Predicted rank: [0], ambiguousness: [[0.69209164 0.30790836]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.84123148489962]
Predicted rank: [0], ambiguousness: [[0.75370246 0.24629755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.05937676634464]
Predicted rank: [0], ambiguousness: [[0.80873764 0.1912624 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.24201724275787]
Predicted rank: [0], ambiguousness: [[0.72728086 0.27271912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.23190643302064]
Predicted rank: [0], ambiguousness: [[0.70311284 0.2968872 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.428619579668]
Predicted rank: [0], ambiguousness: [[0.65010166 0.34989837]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.51351345850173]
Predicted rank: [0], ambiguousness: [[0.66947055 0.33052942]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.55107806724901]
Predicted rank: [0], ambiguousness: [[0.8082333  0.19176668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.10402866049165]
Predicted rank: [0], ambiguousness: [[0.7187561  0.28124392]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.31591958827408]
Predicted rank: [0], ambiguousness: [[0.82241505 0.17758495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.5441275427775]
Predicted rank: [0], ambiguousness: [[0.7623035  0.23769653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.54558461533982]
Predicted rank: [0], ambiguousness: [[0.84397495 0.15602505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.79568669312633]
Predicted rank: [0], ambiguousness: [[0.8084882 0.1915118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.8765257994259]
Predicted rank: [0], ambiguousness: [[0.8397639  0.16023612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.91138104319425]
Predicted rank: [0], ambiguousness: [[0.8967283  0.10327174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.74324362603437]
Predicted rank: [0], ambiguousness: [[0.7365016  0.26349846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.98997058532771]
Predicted rank: [0], ambiguousness: [[0.7060123 0.2939877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.12041920932981]
Predicted rank: [0], ambiguousness: [[0.7714839  0.22851609]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.16012965603637]
Predicted rank: [0], ambiguousness: [[0.8898269  0.11017308]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.19154848143506]
Predicted rank: [0], ambiguousness: [[0.6572787  0.34272128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.26582262364559]
Predicted rank: [0], ambiguousness: [[0.8552178  0.14478219]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.29023025822931]
Predicted rank: [0], ambiguousness: [[0.67959    0.32040998]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.66498417300669]
Predicted rank: [0], ambiguousness: [[0.6205878 0.3794122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.23358640544166]
Predicted rank: [0], ambiguousness: [[0.70704234 0.29295763]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.31671638308859]
Predicted rank: [0], ambiguousness: [[0.7446573  0.25534272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.5404832479176]
Predicted rank: [0], ambiguousness: [[0.65481764 0.34518236]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.67646790458309]
Predicted rank: [0], ambiguousness: [[0.70767987 0.29232013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.87880709548116]
Predicted rank: [0], ambiguousness: [[0.53038514 0.4696149 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.38855874560527]
Predicted rank: [0], ambiguousness: [[0.77538425 0.22461577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.84232247451833]
Predicted rank: [0], ambiguousness: [[0.80788594 0.19211404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.01816271077763]
Predicted rank: [0], ambiguousness: [[0.86811507 0.13188492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.15676574066799]
Predicted rank: [0], ambiguousness: [[0.7043346  0.29566538]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.53137530526304]
Predicted rank: [0], ambiguousness: [[0.76744854 0.23255147]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.7544105469047]
Predicted rank: [0], ambiguousness: [[0.8294726 0.1705274]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.92856478411406]
Predicted rank: [0], ambiguousness: [[0.750498   0.24950199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.93254044084972]
Predicted rank: [0], ambiguousness: [[0.7345773  0.26542267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.12133885055763]
Predicted rank: [0], ambiguousness: [[0.6835182  0.31648186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.20836088731951]
Predicted rank: [0], ambiguousness: [[0.7152165 0.2847835]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.24675336456775]
Predicted rank: [0], ambiguousness: [[0.8169571  0.18304291]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.9313583550314]
Predicted rank: [0], ambiguousness: [[0.73376364 0.26623636]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.14428463826036]
Predicted rank: [0], ambiguousness: [[0.84195703 0.15804298]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.37084789580686]
Predicted rank: [0], ambiguousness: [[0.7834269  0.21657309]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.37568254968424]
Predicted rank: [0], ambiguousness: [[0.85589695 0.14410305]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.62432742319233]
Predicted rank: [0], ambiguousness: [[0.82177603 0.17822395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.70556863336586]
Predicted rank: [0], ambiguousness: [[0.8592707  0.14072931]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.7405756527487]
Predicted rank: [0], ambiguousness: [[0.8962646  0.10373537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.57500711036735]
Predicted rank: [0], ambiguousness: [[0.753077   0.24692304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.82032433365445]
Predicted rank: [0], ambiguousness: [[0.7362554  0.26374456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.95138010816113]
Predicted rank: [0], ambiguousness: [[0.80717754 0.19282247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.99125076319311]
Predicted rank: [0], ambiguousness: [[0.89531964 0.10468037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.0231596922531]
Predicted rank: [0], ambiguousness: [[0.7072356  0.29276443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.09768244913518]
Predicted rank: [0], ambiguousness: [[0.8657069  0.13429311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.12228918516396]
Predicted rank: [0], ambiguousness: [[0.70710695 0.29289302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.70269346113542]
Predicted rank: [0], ambiguousness: [[0.7431388  0.25686118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.69532915153664]
Predicted rank: [0], ambiguousness: [[0.7771466  0.22285339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.90866118280937]
Predicted rank: [0], ambiguousness: [[0.69404125 0.30595872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.04058044316368]
Predicted rank: [0], ambiguousness: [[0.7592317  0.24076828]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.25447681870506]
Predicted rank: [0], ambiguousness: [[0.5911512  0.40884882]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.95502269854371]
Predicted rank: [0], ambiguousness: [[0.76700246 0.23299752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.49410510901694]
Predicted rank: [0], ambiguousness: [[0.80264413 0.19735584]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.68410291645891]
Predicted rank: [0], ambiguousness: [[0.84564835 0.15435165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.79663715828407]
Predicted rank: [0], ambiguousness: [[0.65319514 0.3468049 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.40957003505244]
Predicted rank: [0], ambiguousness: [[0.7533116  0.24668841]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.64174480097208]
Predicted rank: [0], ambiguousness: [[0.7948141  0.20518592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.80498541563688]
Predicted rank: [0], ambiguousness: [[0.7105428  0.28945723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.83113665294519]
Predicted rank: [0], ambiguousness: [[0.68892986 0.31107014]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.01019296127038]
Predicted rank: [0], ambiguousness: [[0.64372075 0.35627925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.1010572711404]
Predicted rank: [0], ambiguousness: [[0.63120973 0.36879027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.14071025674095]
Predicted rank: [0], ambiguousness: [[0.8072002  0.19279979]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.30544585527547]
Predicted rank: [0], ambiguousness: [[0.6753104  0.32468963]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.62916585295878]
Predicted rank: [0], ambiguousness: [[0.7780811  0.22191888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.69540881631966]
Predicted rank: [0], ambiguousness: [[0.7292062 0.2707938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.03920313283442]
Predicted rank: [0], ambiguousness: [[0.8148909  0.18510908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.1477739131036]
Predicted rank: [0], ambiguousness: [[0.7799656  0.22003442]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.2781619292995]
Predicted rank: [0], ambiguousness: [[0.8148324 0.1851676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.33117099153554]
Predicted rank: [0], ambiguousness: [[0.8773192 0.1226808]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.68061864807646]
Predicted rank: [0], ambiguousness: [[0.73230445 0.26769552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.81177911923729]
Predicted rank: [0], ambiguousness: [[0.7080275 0.2919725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.00600354379763]
Predicted rank: [0], ambiguousness: [[0.7731945  0.22680552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.06112338620764]
Predicted rank: [0], ambiguousness: [[0.8888799  0.11112013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.1433474818597]
Predicted rank: [0], ambiguousness: [[0.65946686 0.34053317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.24154974460777]
Predicted rank: [0], ambiguousness: [[0.854022   0.14597796]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.28688958097692]
Predicted rank: [0], ambiguousness: [[0.68170464 0.31829536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.95037610768604]
Predicted rank: [0], ambiguousness: [[0.6955485  0.30445153]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.1288543309882]
Predicted rank: [0], ambiguousness: [[0.6694428  0.33055723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.31916170548757]
Predicted rank: [0], ambiguousness: [[0.7887497  0.21125028]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.37309264884276]
Predicted rank: [0], ambiguousness: [[0.90583676 0.09416322]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.52816876365566]
Predicted rank: [0], ambiguousness: [[0.82337236 0.17662767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.62160369964195]
Predicted rank: [0], ambiguousness: [[0.92655104 0.07344897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.66567851993513]
Predicted rank: [0], ambiguousness: [[0.8469286  0.15307142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.7050926737508]
Predicted rank: [0], ambiguousness: [[0.6744326  0.32556742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.81058797602591]
Predicted rank: [0], ambiguousness: [[0.8832022  0.11679778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.90536342054385]
Predicted rank: [0], ambiguousness: [[0.79266095 0.20733902]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.96067907894391]
Predicted rank: [0], ambiguousness: [[0.66505706 0.33494297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.05277786328249]
Predicted rank: [0], ambiguousness: [[0.7311856  0.26881438]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.21583990865031]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.44086806032712]
Predicted rank: [0], ambiguousness: [[0.6773795 0.3226205]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.57737681894648]
Predicted rank: [0], ambiguousness: [[0.74481475 0.25518528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.77859685494263]
Predicted rank: [0], ambiguousness: [[0.5636943 0.4363057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.33048788642944]
Predicted rank: [0], ambiguousness: [[0.7590939  0.24090613]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.92134900953346]
Predicted rank: [0], ambiguousness: [[0.7883288  0.21167119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.1219708004746]
Predicted rank: [0], ambiguousness: [[0.8338065 0.1661935]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.21155535101893]
Predicted rank: [0], ambiguousness: [[0.63589656 0.36410347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.97103208533159]
Predicted rank: [0], ambiguousness: [[0.74509275 0.25490728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.2123173811325]
Predicted rank: [0], ambiguousness: [[0.78758806 0.21241195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.36142766958488]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.41225149727288]
Predicted rank: [0], ambiguousness: [[0.67947865 0.32052138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.57826260629429]
Predicted rank: [0], ambiguousness: [[0.6365248 0.3634752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.67305034684674]
Predicted rank: [0], ambiguousness: [[0.62390876 0.3760912 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.71415325299134]
Predicted rank: [0], ambiguousness: [[0.7895907  0.21040928]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.92520236038447]
Predicted rank: [0], ambiguousness: [[0.7123292 0.2876708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.25921545546726]
Predicted rank: [0], ambiguousness: [[0.8166034 0.1833966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.31115117630252]
Predicted rank: [0], ambiguousness: [[0.7590402  0.24095984]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.68755074294901]
Predicted rank: [0], ambiguousness: [[0.8421805  0.15781948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.7838860817208]
Predicted rank: [0], ambiguousness: [[0.8006085  0.19939148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.91864255802301]
Predicted rank: [0], ambiguousness: [[0.8416985  0.15830149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.97323338921562]
Predicted rank: [0], ambiguousness: [[0.8790642 0.1209358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.37441496215686]
Predicted rank: [0], ambiguousness: [[0.76718634 0.23281367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.4961245457972]
Predicted rank: [0], ambiguousness: [[0.7451196 0.2548804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.69543673440162]
Predicted rank: [0], ambiguousness: [[0.8142594  0.18574059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.75179754941908]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.83828931892208]
Predicted rank: [0], ambiguousness: [[0.7166998  0.28330022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.93840183279309]
Predicted rank: [0], ambiguousness: [[0.8670596 0.1329404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.98540493275301]
Predicted rank: [0], ambiguousness: [[0.7165737 0.2834263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.78354850051062]
Predicted rank: [0], ambiguousness: [[0.73347664 0.26652336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.96017700474678]
Predicted rank: [0], ambiguousness: [[0.709425 0.290575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.15157795886284]
Predicted rank: [0], ambiguousness: [[0.82762617 0.17237383]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.20576512171877]
Predicted rank: [0], ambiguousness: [[0.9123309  0.08766906]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.36243191608298]
Predicted rank: [0], ambiguousness: [[0.851233   0.14876701]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.4562253643403]
Predicted rank: [0], ambiguousness: [[0.9296479 0.0703521]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.50061796287989]
Predicted rank: [0], ambiguousness: [[0.85988474 0.14011529]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.54103584355768]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.64692038704084]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.74223037574006]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.79817660749524]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.84930307855282]
Predicted rank: [0], ambiguousness: [[0.7801623  0.21983771]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.40264890448086]
Predicted rank: [0], ambiguousness: [[0.81700194 0.18299805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.594703067764]
Predicted rank: [0], ambiguousness: [[0.8675727  0.13242726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.70366321248137]
Predicted rank: [0], ambiguousness: [[0.7074357 0.2925643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.3607238132553]
Predicted rank: [0], ambiguousness: [[0.7775432  0.22245681]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.59349415186199]
Predicted rank: [0], ambiguousness: [[0.82846355 0.17153643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.75606441062133]
Predicted rank: [0], ambiguousness: [[0.75284046 0.24715953]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.78347985462422]
Predicted rank: [0], ambiguousness: [[0.7300969  0.26990312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.96193009744326]
Predicted rank: [0], ambiguousness: [[0.6797091  0.32029095]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.05304708293568]
Predicted rank: [0], ambiguousness: [[0.69819987 0.3018001 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.09278483088923]
Predicted rank: [0], ambiguousness: [[0.8201994  0.17980066]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.44301092896957]
Predicted rank: [0], ambiguousness: [[0.69616807 0.3038319 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.81643289452592]
Predicted rank: [0], ambiguousness: [[0.780023   0.21997704]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.83010474054647]
Predicted rank: [0], ambiguousness: [[0.7199424 0.2800576]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.32998108936866]
Predicted rank: [0], ambiguousness: [[0.8169577  0.18304232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.39781482476351]
Predicted rank: [0], ambiguousness: [[0.7783096  0.22169039]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.54660678470096]
Predicted rank: [0], ambiguousness: [[0.7783043  0.22169572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.60578695878888]
Predicted rank: [0], ambiguousness: [[0.8685261  0.13147391]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.24819715580612]
Predicted rank: [0], ambiguousness: [[0.7498363  0.25016367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.35734632950722]
Predicted rank: [0], ambiguousness: [[0.7097795  0.29022053]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.56674011917083]
Predicted rank: [0], ambiguousness: [[0.7492248  0.25077522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.62512428054944]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.72121004018094]
Predicted rank: [0], ambiguousness: [[0.5880046  0.41199544]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.8242755091319]
Predicted rank: [0], ambiguousness: [[0.8624835  0.13751648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.87457463087358]
Predicted rank: [0], ambiguousness: [[0.66644716 0.33355284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.09785722166475]
Predicted rank: [0], ambiguousness: [[0.67241096 0.327589  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.0930258455793]
Predicted rank: [0], ambiguousness: [[0.6381494  0.36185062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.40177240987308]
Predicted rank: [0], ambiguousness: [[0.7515321  0.24846795]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.48502612668393]
Predicted rank: [0], ambiguousness: [[0.89002883 0.1099712 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.79997847927856]
Predicted rank: [0], ambiguousness: [[0.8023488 0.1976512]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.93696359879428]
Predicted rank: [0], ambiguousness: [[0.91388994 0.08611004]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.02184245106704]
Predicted rank: [0], ambiguousness: [[0.82812357 0.17187645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.45741312754663]
Predicted rank: [0], ambiguousness: [[0.6844841 0.3155159]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.60228370041814]
Predicted rank: [0], ambiguousness: [[0.8844023  0.11559774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.75508640324058]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.87492862380444]
Predicted rank: [0], ambiguousness: [[0.67525864 0.32474133]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.78971257530708]
Predicted rank: [0], ambiguousness: [[0.6443509  0.35564908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.9304120787475]
Predicted rank: [0], ambiguousness: [[0.86467075 0.13532925]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.08107848332781]
Predicted rank: [0], ambiguousness: [[0.8280221 0.1719779]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.27764978656285]
Predicted rank: [0], ambiguousness: [[0.82728004 0.17271993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.44328005512382]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.13254873302316]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.75129796889397]
Predicted rank: [0], ambiguousness: [[0.7952822  0.20471781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.95595810751627]
Predicted rank: [0], ambiguousness: [[0.85075873 0.14924127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.03852054177085]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.88461109090248]
Predicted rank: [0], ambiguousness: [[0.74963737 0.2503626 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.12707574150747]
Predicted rank: [0], ambiguousness: [[0.80534637 0.19465363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.27486352936043]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.32818455814845]
Predicted rank: [0], ambiguousness: [[0.6985468  0.30145317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.49300036221196]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.58828841284512]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.62955889858935]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.80178699215905]
Predicted rank: [0], ambiguousness: [[0.66995287 0.33004713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.20116638327255]
Predicted rank: [0], ambiguousness: [[0.75853336 0.24146661]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.18415746977355]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.7658562186048]
Predicted rank: [0], ambiguousness: [[0.79091465 0.20908532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.80884543960386]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.96782430562419]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.03052999503589]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.82056050582355]
Predicted rank: [0], ambiguousness: [[0.7264321  0.27356791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.91386911536078]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.1329203986775]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.19351232373654]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.29788571408048]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.4043100341029]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.45776919399944]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.72780983679924]
Predicted rank: [0], ambiguousness: [[0.69590104 0.30409896]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.7067163115349]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.02641955465704]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.11232731597605]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.44414909919114]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.58493154502472]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.67341903984045]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.15117632682632]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.29917958729368]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.45658970257757]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.58181176014594]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.63509146993451]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.7764346676768]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.92810215443299]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.1265426893624]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.29383820517765]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.34472435829827]
Predicted rank: [0], ambiguousness: [[0.69569194 0.30430806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.72422126196396]
Predicted rank: [0], ambiguousness: [[0.7939796  0.20602043]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.73233104119183]
Predicted rank: [0], ambiguousness: [[0.74152625 0.25847378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.25207371753604]
Predicted rank: [0], ambiguousness: [[0.8287327  0.17126724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.3159966044995]
Predicted rank: [0], ambiguousness: [[0.7906393  0.20936075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.46684417271926]
Predicted rank: [0], ambiguousness: [[0.824196   0.17580403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.52669209818689]
Predicted rank: [0], ambiguousness: [[0.8803905  0.11960947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.21395995396757]
Predicted rank: [0], ambiguousness: [[0.76148033 0.23851964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.32234055352822]
Predicted rank: [0], ambiguousness: [[0.73283297 0.26716703]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.53239630591139]
Predicted rank: [0], ambiguousness: [[0.79407376 0.20592624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.59091036692791]
Predicted rank: [0], ambiguousness: [[0.8973482  0.10265177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.68745287409305]
Predicted rank: [0], ambiguousness: [[0.6865716 0.3134284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.79072162468725]
Predicted rank: [0], ambiguousness: [[0.86474264 0.13525733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.84123831515416]
Predicted rank: [0], ambiguousness: [[0.70782363 0.2921764 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.22664932273142]
Predicted rank: [0], ambiguousness: [[0.6754858 0.3245142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.16017783877922]
Predicted rank: [0], ambiguousness: [[0.62940764 0.3705924 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.52388997860129]
Predicted rank: [0], ambiguousness: [[0.7168095  0.28319052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.61887488650184]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.03657085825361]
Predicted rank: [0], ambiguousness: [[0.7222671 0.2777329]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.18872769754964]
Predicted rank: [0], ambiguousness: [[0.9169688  0.08303121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.28948296780436]
Predicted rank: [0], ambiguousness: [[0.7962178  0.20378217]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.0019708021378]
Predicted rank: [0], ambiguousness: [[0.6629478  0.33705226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.15546244414794]
Predicted rank: [0], ambiguousness: [[0.89018977 0.1098102 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.32246805096521]
Predicted rank: [0], ambiguousness: [[0.7810136  0.21898638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.45932092569754]
Predicted rank: [0], ambiguousness: [[0.60902464 0.39097533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.6343724565971]
Predicted rank: [0], ambiguousness: [[0.6010446 0.3989554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.84804562071596]
Predicted rank: [0], ambiguousness: [[0.84159696 0.15840302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.10715484398034]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.49361216958481]
Predicted rank: [0], ambiguousness: [[0.7993108 0.2006892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.14984768424375]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.497250651443]
Predicted rank: [0], ambiguousness: [[0.63704336 0.36295664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 101.65894363741623]
Predicted rank: [0], ambiguousness: [[0.6752534  0.32474664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.06855901363781]
Predicted rank: [0], ambiguousness: [[0.7780362  0.22196382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.0425055193625]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.6578244141918]
Predicted rank: [0], ambiguousness: [[0.8080783  0.19192173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.69461023609742]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.85699601142161]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.92079809840304]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.7889182501932]
Predicted rank: [0], ambiguousness: [[0.73225355 0.26774648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.8815612114823]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.10139919062297]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.16212888760504]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.2669613437225]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.37360614578087]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.42732468450016]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.63720704428977]
Predicted rank: [0], ambiguousness: [[0.6483873  0.35161266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.53707963956995]
Predicted rank: [0], ambiguousness: [[0.61118215 0.38881785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 100.92762778525255]
Predicted rank: [0], ambiguousness: [[0.7008394  0.29916063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.02864272134282]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.49329780987247]
Predicted rank: [0], ambiguousness: [[0.69721377 0.3027862 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.65360018913364]
Predicted rank: [0], ambiguousness: [[0.903474   0.09652603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.76255332567409]
Predicted rank: [0], ambiguousness: [[0.76806176 0.23193823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.60198418509704]
Predicted rank: [0], ambiguousness: [[0.6454426 0.3545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.76089772398001]
Predicted rank: [0], ambiguousness: [[0.877776   0.12222395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.93634876617901]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.08299382802022]
Predicted rank: [0], ambiguousness: [[0.5798286 0.4201714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.28736703649798]
Predicted rank: [0], ambiguousness: [[0.6369884 0.3630116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.50728131182278]
Predicted rank: [0], ambiguousness: [[0.8541065  0.14589351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.77594394338445]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.18112725056233]
Predicted rank: [0], ambiguousness: [[0.8107974 0.1892026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.88555320690419]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.38065791427229]
Predicted rank: [0], ambiguousness: [[0.65237    0.34763005]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.16094120601412]
Predicted rank: [0], ambiguousness: [[0.6741937  0.32580632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.08818097685227]
Predicted rank: [0], ambiguousness: [[0.64001864 0.35998136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.45842795895979]
Predicted rank: [0], ambiguousness: [[0.75304234 0.24695764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.55474315807163]
Predicted rank: [0], ambiguousness: [[0.89081955 0.10918045]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.98665001110017]
Predicted rank: [0], ambiguousness: [[0.79654944 0.20345059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.14039773218711]
Predicted rank: [0], ambiguousness: [[0.9110004  0.08899964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.24287404930979]
Predicted rank: [0], ambiguousness: [[0.8229135  0.17708647]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.99985325650294]
Predicted rank: [0], ambiguousness: [[0.6989838  0.30101618]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.15365386935561]
Predicted rank: [0], ambiguousness: [[0.8911753  0.10882469]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.32119908406509]
Predicted rank: [0], ambiguousness: [[0.8107977  0.18920228]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.45851738743212]
Predicted rank: [0], ambiguousness: [[0.6899903 0.3100097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.68432262651787]
Predicted rank: [0], ambiguousness: [[0.5751177  0.42488232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 100.9281835081874]
Predicted rank: [0], ambiguousness: [[0.84799814 0.15200189]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.23907419180341]
Predicted rank: [0], ambiguousness: [[0.7794603  0.22053969]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.74259404324079]
Predicted rank: [0], ambiguousness: [[0.72027975 0.27972025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.71548681979037]
Predicted rank: [0], ambiguousness: [[0.66777813 0.33222184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.2702870118161]
Predicted rank: [0], ambiguousness: [[0.59122115 0.40877885]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.81349284536454]
Predicted rank: [0], ambiguousness: [[0.65508103 0.34491894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.71734079704837]
Predicted rank: [0], ambiguousness: [[0.61909187 0.38090816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.1078087616786]
Predicted rank: [0], ambiguousness: [[0.73597544 0.26402456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.20854715614584]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.67811475996058]
Predicted rank: [0], ambiguousness: [[0.7816173 0.2183827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.83766915317369]
Predicted rank: [0], ambiguousness: [[0.8995657  0.10043427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.94613828344696]
Predicted rank: [0], ambiguousness: [[0.80261374 0.1973863 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.81126832939523]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.96829197437728]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.14100960955602]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.28423029742805]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.3762564952297]
Predicted rank: [0], ambiguousness: [[0.5583403  0.44165966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 100.62919156316543]
Predicted rank: [0], ambiguousness: [[0.8329805  0.16701949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 100.95514304284387]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.49167832624207]
Predicted rank: [0], ambiguousness: [[0.69715023 0.30284977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.55686034068523]
Predicted rank: [0], ambiguousness: [[0.6424623 0.3575377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.15714173894145]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.80313848181511]
Predicted rank: [0], ambiguousness: [[0.5899091 0.4100909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.04730967609692]
Predicted rank: [0], ambiguousness: [[0.8353362  0.16466378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.35943271214651]
Predicted rank: [0], ambiguousness: [[0.7926485  0.20735152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.86868159796819]
Predicted rank: [0], ambiguousness: [[0.78439844 0.2156016 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.86511407289916]
Predicted rank: [0], ambiguousness: [[0.6805683  0.31943172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 100.47594491370256]
Predicted rank: [0], ambiguousness: [[0.5801312  0.41986883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.56355928262914]
Predicted rank: [0], ambiguousness: [[0.6192261  0.38077393]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.79718761946054]
Predicted rank: [0], ambiguousness: [[0.8347894  0.16521059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.09383523630963]
Predicted rank: [0], ambiguousness: [[0.79537225 0.20462775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.5751857224092]
Predicted rank: [0], ambiguousness: [[0.780248   0.21975203]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.51388725572426]
Predicted rank: [0], ambiguousness: [[0.67109346 0.32890654]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.26794495669341]
Predicted rank: [0], ambiguousness: [[0.58884525 0.41115475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.46193379792278]
Predicted rank: [0], ambiguousness: [[0.5670536  0.43294638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.62940676451123]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.54451296735678]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.34691788390425]
Predicted rank: [0], ambiguousness: [[0.7366002  0.26339978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.51075705654611]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.59563820222593]
Predicted rank: [0], ambiguousness: [[0.6840328  0.31596723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.66350690274297]
Predicted rank: [0], ambiguousness: [[0.70677584 0.29322416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 108.16019055636635]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.38677575794333]
Predicted rank: [0], ambiguousness: [[0.5417174 0.4582826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.2546930529014]
Predicted rank: [0], ambiguousness: [[0.6957412 0.3042588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.41950529371886]
Predicted rank: [0], ambiguousness: [[0.69369483 0.30630517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.50476640418023]
Predicted rank: [0], ambiguousness: [[0.64374423 0.35625574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.57280289650109]
Predicted rank: [0], ambiguousness: [[0.6843027 0.3156973]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 108.06889526791902]
Predicted rank: [0], ambiguousness: [[0.54938054 0.4506195 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.30716974651276]
Predicted rank: [0], ambiguousness: [[0.51620436 0.48379564]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.81786908167848]
Predicted rank: [0], ambiguousness: [[0.6542993  0.34570068]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.26069662015863]
Predicted rank: [0], ambiguousness: [[0.67929447 0.3207055 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.39140577315203]
Predicted rank: [0], ambiguousness: [[0.6211971  0.37880293]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.47843803092897]
Predicted rank: [0], ambiguousness: [[0.6484044  0.35159558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.91856066993427]
Predicted rank: [0], ambiguousness: [[0.52186024 0.47813976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.03095833419775]
Predicted rank: [0], ambiguousness: [[0.7180908 0.2819092]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.20107782772193]
Predicted rank: [0], ambiguousness: [[0.78387547 0.2161245 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.28453955033595]
Predicted rank: [0], ambiguousness: [[0.80991626 0.19008373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.754444078918]
Predicted rank: [0], ambiguousness: [[0.705119   0.29488102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.33509419570817]
Predicted rank: [0], ambiguousness: [[0.66696787 0.3330321 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.44647721140032]
Predicted rank: [0], ambiguousness: [[0.73278236 0.26721767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.91916794264796]
Predicted rank: [0], ambiguousness: [[0.6870655  0.31293452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.51775044273148]
Predicted rank: [0], ambiguousness: [[0.6286284  0.37137163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.99508824702005]
Predicted rank: [0], ambiguousness: [[0.6046913  0.39530867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 108.03554788891867]
Predicted rank: [0], ambiguousness: [[0.627463 0.372537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 108.05462607936309]
Predicted rank: [0], ambiguousness: [[0.7610888 0.2389112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.08536884230054]
Predicted rank: [0], ambiguousness: [[0.5158843  0.48411572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.6320573903223]
Predicted rank: [0], ambiguousness: [[0.6818925  0.31810752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.09813570369388]
Predicted rank: [0], ambiguousness: [[0.71855664 0.28144336]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.23193775962176]
Predicted rank: [0], ambiguousness: [[0.670736 0.329264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.32022945924214]
Predicted rank: [0], ambiguousness: [[0.70754445 0.29245552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.75656340316397]
Predicted rank: [0], ambiguousness: [[0.57214636 0.42785364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.93760631138845]
Predicted rank: [0], ambiguousness: [[0.7543211 0.2456789]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.10866061726418]
Predicted rank: [0], ambiguousness: [[0.8089169  0.19108307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.19236059255581]
Predicted rank: [0], ambiguousness: [[0.85451376 0.14548627]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.66155939244243]
Predicted rank: [0], ambiguousness: [[0.73353267 0.2664673 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.24357096156953]
Predicted rank: [0], ambiguousness: [[0.7132838 0.2867162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.35527284376147]
Predicted rank: [0], ambiguousness: [[0.78249055 0.21750943]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.82729937339045]
Predicted rank: [0], ambiguousness: [[0.7289995  0.27100047]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.42690380635062]
Predicted rank: [0], ambiguousness: [[0.6949839 0.3050161]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.90361162894233]
Predicted rank: [0], ambiguousness: [[0.65887165 0.34112838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.94421272805837]
Predicted rank: [0], ambiguousness: [[0.6919259 0.3080741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.96334842505817]
Predicted rank: [0], ambiguousness: [[0.79338306 0.20661694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.27385740051494]
Predicted rank: [0], ambiguousness: [[0.5737748 0.4262252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.40632552161276]
Predicted rank: [0], ambiguousness: [[0.6521269  0.34787312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.00738704869394]
Predicted rank: [0], ambiguousness: [[0.69738895 0.30261105]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.14867323031274]
Predicted rank: [0], ambiguousness: [[0.65337527 0.34662473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.2395452542825]
Predicted rank: [0], ambiguousness: [[0.6458559  0.35414413]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.67004236388627]
Predicted rank: [0], ambiguousness: [[0.52182734 0.47817266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.33570100796567]
Predicted rank: [0], ambiguousness: [[0.7048278  0.29517218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.623300580396]
Predicted rank: [0], ambiguousness: [[0.7727279  0.22727208]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.74053604760468]
Predicted rank: [0], ambiguousness: [[0.8155793 0.1844207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.1284460126802]
Predicted rank: [0], ambiguousness: [[0.68562853 0.31437144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.0339160958701]
Predicted rank: [0], ambiguousness: [[0.6930391  0.30696088]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.18420848104523]
Predicted rank: [0], ambiguousness: [[0.75373936 0.24626063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.59189556332012]
Predicted rank: [0], ambiguousness: [[0.70659035 0.29340965]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.2987909496522]
Predicted rank: [0], ambiguousness: [[0.6561536  0.34384638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.71552851332417]
Predicted rank: [0], ambiguousness: [[0.62656224 0.37343773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.7729939032235]
Predicted rank: [0], ambiguousness: [[0.64652574 0.35347423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.79868130738598]
Predicted rank: [0], ambiguousness: [[0.7821979 0.2178021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.80843527386884]
Predicted rank: [0], ambiguousness: [[0.65344316 0.34655684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.95702685514647]
Predicted rank: [0], ambiguousness: [[0.77023244 0.22976759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.3906953993034]
Predicted rank: [0], ambiguousness: [[0.74333227 0.25666776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.11287073238506]
Predicted rank: [0], ambiguousness: [[0.8172279  0.18277209]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.56105566913274]
Predicted rank: [0], ambiguousness: [[0.79793316 0.20206685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.61699124416756]
Predicted rank: [0], ambiguousness: [[0.8341353  0.16586474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.6412961308736]
Predicted rank: [0], ambiguousness: [[0.88826823 0.11173179]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.24114416788072]
Predicted rank: [0], ambiguousness: [[0.65855134 0.3414487 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.68616623954722]
Predicted rank: [0], ambiguousness: [[0.6844083  0.31559166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.7772487121504]
Predicted rank: [0], ambiguousness: [[0.753008   0.24699196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.80514030857532]
Predicted rank: [0], ambiguousness: [[0.8731303  0.12686971]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.82366576442146]
Predicted rank: [0], ambiguousness: [[0.6339503 0.3660497]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.87643778305593]
Predicted rank: [0], ambiguousness: [[0.8342532  0.16574682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.89220627976879]
Predicted rank: [0], ambiguousness: [[0.6569878 0.3430122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.02534405279926]
Predicted rank: [0], ambiguousness: [[0.5353661  0.46463388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.1078535423364]
Predicted rank: [0], ambiguousness: [[0.6247772  0.37522277]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.77718354563416]
Predicted rank: [0], ambiguousness: [[0.6814941  0.31850588]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.92424152367244]
Predicted rank: [0], ambiguousness: [[0.636374 0.363626]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.01736248509118]
Predicted rank: [0], ambiguousness: [[0.62869537 0.37130463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.44166164611468]
Predicted rank: [0], ambiguousness: [[0.5142134  0.48578662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.13731595059562]
Predicted rank: [0], ambiguousness: [[0.7279427  0.27205727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.43466416107675]
Predicted rank: [0], ambiguousness: [[0.7867432  0.21325676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.55433445895704]
Predicted rank: [0], ambiguousness: [[0.83656216 0.16343784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.93643188013223]
Predicted rank: [0], ambiguousness: [[0.7057928 0.2942072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.86866979921592]
Predicted rank: [0], ambiguousness: [[0.72277784 0.27722213]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.02151241877606]
Predicted rank: [0], ambiguousness: [[0.79036653 0.20963344]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.42484536303508]
Predicted rank: [0], ambiguousness: [[0.73816425 0.26183575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.13902711632427]
Predicted rank: [0], ambiguousness: [[0.70483315 0.29516682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.55170635092313]
Predicted rank: [0], ambiguousness: [[0.66933215 0.33066785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.61028368197998]
Predicted rank: [0], ambiguousness: [[0.7018316  0.29816842]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.63640472351011]
Predicted rank: [0], ambiguousness: [[0.80640304 0.19359697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.71505882952731]
Predicted rank: [0], ambiguousness: [[0.685276   0.31472403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.86419615198807]
Predicted rank: [0], ambiguousness: [[0.805041   0.19495897]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.29701196924326]
Predicted rank: [0], ambiguousness: [[0.77222687 0.22777312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.02095634254215]
Predicted rank: [0], ambiguousness: [[0.8401853 0.1598147]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.4683862054165]
Predicted rank: [0], ambiguousness: [[0.8173961  0.18260388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.5245341540986]
Predicted rank: [0], ambiguousness: [[0.85877645 0.14122355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.54891940800456]
Predicted rank: [0], ambiguousness: [[0.89652216 0.10347781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.15011608306129]
Predicted rank: [0], ambiguousness: [[0.69263893 0.30736107]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.59440795157002]
Predicted rank: [0], ambiguousness: [[0.723477 0.276523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.68581033238124]
Predicted rank: [0], ambiguousness: [[0.7968874  0.20311263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.71378670072743]
Predicted rank: [0], ambiguousness: [[0.8886682  0.11133182]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.73257174578706]
Predicted rank: [0], ambiguousness: [[0.6936362  0.30636382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.7854747677863]
Predicted rank: [0], ambiguousness: [[0.8574733  0.14252667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.80134894829189]
Predicted rank: [0], ambiguousness: [[0.6935042 0.3064958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.34969698143595]
Predicted rank: [0], ambiguousness: [[0.69464254 0.30535746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.974182397357]
Predicted rank: [0], ambiguousness: [[0.7299477  0.27005234]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.11583479625864]
Predicted rank: [0], ambiguousness: [[0.6766586  0.32334143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.20685826330538]
Predicted rank: [0], ambiguousness: [[0.6996994 0.3003006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.63703760583712]
Predicted rank: [0], ambiguousness: [[0.57539684 0.42460316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.84659754633458]
Predicted rank: [0], ambiguousness: [[0.7071933  0.29280668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.1967027272861]
Predicted rank: [0], ambiguousness: [[0.78108084 0.21891917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.32523091138785]
Predicted rank: [0], ambiguousness: [[0.788947   0.21105303]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.69109258002987]
Predicted rank: [0], ambiguousness: [[0.65478194 0.3452181 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.77055844203628]
Predicted rank: [0], ambiguousness: [[0.7069622  0.29303774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.92926336392242]
Predicted rank: [0], ambiguousness: [[0.7397213  0.26027867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.32550543781332]
Predicted rank: [0], ambiguousness: [[0.69703114 0.30296883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.0540078899512]
Predicted rank: [0], ambiguousness: [[0.5984049 0.4015951]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.46033639302682]
Predicted rank: [0], ambiguousness: [[0.6287198 0.3712802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.52138501366902]
Predicted rank: [0], ambiguousness: [[0.61599636 0.38400367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.54832885001053]
Predicted rank: [0], ambiguousness: [[0.7962239  0.20377609]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.02174399927597]
Predicted rank: [0], ambiguousness: [[0.621666 0.378334]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.24114270221902]
Predicted rank: [0], ambiguousness: [[0.7310116 0.2689884]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.57380776639191]
Predicted rank: [0], ambiguousness: [[0.7162179  0.28378212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.51099535168188]
Predicted rank: [0], ambiguousness: [[0.7957752  0.20422484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.870916425123]
Predicted rank: [0], ambiguousness: [[0.77483964 0.22516038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.95830788210768]
Predicted rank: [0], ambiguousness: [[0.81421584 0.18578418]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.99415680026034]
Predicted rank: [0], ambiguousness: [[0.87761736 0.12238263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.91885916342379]
Predicted rank: [0], ambiguousness: [[0.6690167  0.33098328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.29158330782738]
Predicted rank: [0], ambiguousness: [[0.694449 0.305551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.4232781611894]
Predicted rank: [0], ambiguousness: [[0.76162624 0.23837373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.46101157897]
Predicted rank: [0], ambiguousness: [[0.8818732  0.11812682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.51202115798563]
Predicted rank: [0], ambiguousness: [[0.644763   0.35523698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.5800229243485]
Predicted rank: [0], ambiguousness: [[0.8452002  0.15479983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.60920501011267]
Predicted rank: [0], ambiguousness: [[0.6674769 0.3325231]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.6966193088492]
Predicted rank: [0], ambiguousness: [[0.62798536 0.3720146 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.0959982216161]
Predicted rank: [0], ambiguousness: [[0.6549444 0.3450556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.22762501056533]
Predicted rank: [0], ambiguousness: [[0.7777469  0.22225307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.26521406721741]
Predicted rank: [0], ambiguousness: [[0.8997788  0.10022121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.36716733320714]
Predicted rank: [0], ambiguousness: [[0.819023   0.18097702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.4330301040522]
Predicted rank: [0], ambiguousness: [[0.92421305 0.07578696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.46229822804982]
Predicted rank: [0], ambiguousness: [[0.8463987  0.15360127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.47944692342128]
Predicted rank: [0], ambiguousness: [[0.66004187 0.33995813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.55413530784676]
Predicted rank: [0], ambiguousness: [[0.8758875  0.12411246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.61922958505774]
Predicted rank: [0], ambiguousness: [[0.78180546 0.21819453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.65404353443279]
Predicted rank: [0], ambiguousness: [[0.6504667  0.34953332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.0053628698559]
Predicted rank: [0], ambiguousness: [[0.6640131 0.3359869]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.71831890447731]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.86606996406967]
Predicted rank: [0], ambiguousness: [[0.64156157 0.35843843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.95947732146546]
Predicted rank: [0], ambiguousness: [[0.6658684 0.3341316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.3831752988032]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.51565354819883]
Predicted rank: [0], ambiguousness: [[0.69142735 0.30857262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.89268668550365]
Predicted rank: [0], ambiguousness: [[0.7600052  0.23999482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.02673411028849]
Predicted rank: [0], ambiguousness: [[0.76840407 0.23159592]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.38087380442454]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.53646445354477]
Predicted rank: [0], ambiguousness: [[0.6911894  0.30881062]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.69990430532047]
Predicted rank: [0], ambiguousness: [[0.7250259 0.2749741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.08892091977981]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.83015080750008]
Predicted rank: [0], ambiguousness: [[0.5802581  0.41974193]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.22981306653347]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.29290364116582]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.32060396269327]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.81868516774273]
Predicted rank: [0], ambiguousness: [[0.65470827 0.3452917 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.04344432083924]
Predicted rank: [0], ambiguousness: [[0.76985604 0.23014395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.36878154442252]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.32284372812664]
Predicted rank: [0], ambiguousness: [[0.8207272  0.17927276]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.67650220266287]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.76617243513212]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.80284752692964]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.75443449883713]
Predicted rank: [0], ambiguousness: [[0.7023765  0.29762354]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.12231745003419]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.2566640117963]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.29504635922724]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.34829180764945]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.41728875132044]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.44734319818116]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.60520612871024]
Predicted rank: [0], ambiguousness: [[0.66339993 0.33660007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.00362761850084]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.13583037179585]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.1735548255984]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.27634825947018]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.3423998219915]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.37183639352128]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.38952178208386]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.46441502733012]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.52979139776815]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.56493940637847]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.78239245692131]
Predicted rank: [0], ambiguousness: [[0.7272289 0.2727711]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.1407084881942]
Predicted rank: [0], ambiguousness: [[0.79150033 0.20849964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.27042145284207]
Predicted rank: [0], ambiguousness: [[0.8315837  0.16841632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.63426008475179]
Predicted rank: [0], ambiguousness: [[0.70888495 0.29111505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.7391801906117]
Predicted rank: [0], ambiguousness: [[0.7279968  0.27200317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.8982308913344]
Predicted rank: [0], ambiguousness: [[0.7839395 0.2160605]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.29409055856473]
Predicted rank: [0], ambiguousness: [[0.74058247 0.25941756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.02332232135497]
Predicted rank: [0], ambiguousness: [[0.6934539  0.30654606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.42930546517437]
Predicted rank: [0], ambiguousness: [[0.6654359  0.33456412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.49050083292575]
Predicted rank: [0], ambiguousness: [[0.68436813 0.3156319 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.51749393644045]
Predicted rank: [0], ambiguousness: [[0.8097887 0.1902113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.49773597738746]
Predicted rank: [0], ambiguousness: [[0.6369599  0.36304012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.74693031321588]
Predicted rank: [0], ambiguousness: [[0.716036   0.28396398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.04863409301507]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.07899903002743]
Predicted rank: [0], ambiguousness: [[0.73458725 0.26541275]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.41495330746937]
Predicted rank: [0], ambiguousness: [[0.7731564  0.22684361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.51338510299885]
Predicted rank: [0], ambiguousness: [[0.7775993  0.22240074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.55293807385277]
Predicted rank: [0], ambiguousness: [[0.8688424  0.13115759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.65345647528653]
Predicted rank: [0], ambiguousness: [[0.6701747 0.3298253]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.01322045021377]
Predicted rank: [0], ambiguousness: [[0.6962475  0.30375248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.15400043274114]
Predicted rank: [0], ambiguousness: [[0.73685014 0.26314983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.19369508235671]
Predicted rank: [0], ambiguousness: [[0.88339156 0.11660844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.2530619158119]
Predicted rank: [0], ambiguousness: [[0.5722167 0.4277833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.32397511430702]
Predicted rank: [0], ambiguousness: [[0.8540857  0.14591435]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.3561410387044]
Predicted rank: [0], ambiguousness: [[0.6518857 0.3481143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.87386884425261]
Predicted rank: [0], ambiguousness: [[0.59514076 0.40485924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.15917659344157]
Predicted rank: [0], ambiguousness: [[0.6230512  0.37694877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.36571612175818]
Predicted rank: [0], ambiguousness: [[0.7392317  0.26076832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.42190191890532]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.62465612431714]
Predicted rank: [0], ambiguousness: [[0.79760903 0.20239097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.71807858134852]
Predicted rank: [0], ambiguousness: [[0.9111876 0.0888124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.7733193313372]
Predicted rank: [0], ambiguousness: [[0.8275419  0.17245813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.03907998988699]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.13880188290204]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.24089258106156]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.31696306803107]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.85047779536919]
Predicted rank: [0], ambiguousness: [[0.6293613 0.3706387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.94905881090114]
Predicted rank: [0], ambiguousness: [[0.85638416 0.14361581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.05200727321271]
Predicted rank: [0], ambiguousness: [[0.81859434 0.1814057 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.1821527581063]
Predicted rank: [0], ambiguousness: [[0.8230063  0.17699371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.28602469930344]
Predicted rank: [0], ambiguousness: [[0.66326773 0.3367323 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.40147693157812]
Predicted rank: [0], ambiguousness: [[0.6980538  0.30194622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.79370551194282]
Predicted rank: [0], ambiguousness: [[0.7589907 0.2410093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.92995406228644]
Predicted rank: [0], ambiguousness: [[0.8037745  0.19622552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.2803332876108]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.4831830787812]
Predicted rank: [0], ambiguousness: [[0.686115   0.31388494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.64727046594277]
Predicted rank: [0], ambiguousness: [[0.747686   0.25231394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.03557268454051]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.77816626029006]
Predicted rank: [0], ambiguousness: [[0.64881915 0.35118085]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.17718346515218]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.24054883917813]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.26834131838021]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.15620368909751]
Predicted rank: [0], ambiguousness: [[0.6085089  0.39149112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.41887700476397]
Predicted rank: [0], ambiguousness: [[0.6907736 0.3092264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.70491733786659]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.77755877332936]
Predicted rank: [0], ambiguousness: [[0.70111233 0.29888767]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.10083848825676]
Predicted rank: [0], ambiguousness: [[0.75111175 0.24888824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.20456749121148]
Predicted rank: [0], ambiguousness: [[0.7558501  0.24414991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.24595535483473]
Predicted rank: [0], ambiguousness: [[0.8488154  0.15118463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.42315508221168]
Predicted rank: [0], ambiguousness: [[0.6428672 0.3571328]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.77482985332676]
Predicted rank: [0], ambiguousness: [[0.67963606 0.32036394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.92062679166452]
Predicted rank: [0], ambiguousness: [[0.7215712 0.2784288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.9614720375998]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.02516811680147]
Predicted rank: [0], ambiguousness: [[0.55317545 0.44682458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.09782560277131]
Predicted rank: [0], ambiguousness: [[0.8383317 0.1616683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.13164211080466]
Predicted rank: [0], ambiguousness: [[0.62391376 0.37608624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.67425056157799]
Predicted rank: [0], ambiguousness: [[0.621049 0.378951]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.95124190332834]
Predicted rank: [0], ambiguousness: [[0.6554973 0.3445027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.16348453657709]
Predicted rank: [0], ambiguousness: [[0.77683467 0.22316533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.22105503232795]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.43260337918042]
Predicted rank: [0], ambiguousness: [[0.82203597 0.17796405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.52800073196087]
Predicted rank: [0], ambiguousness: [[0.91395825 0.08604177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.58512995595619]
Predicted rank: [0], ambiguousness: [[0.83558965 0.16441037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.87288754045215]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.9742402610061]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.07873616867116]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.15762599795642]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.76361108760929]
Predicted rank: [0], ambiguousness: [[0.6641793 0.3358207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.86253075008602]
Predicted rank: [0], ambiguousness: [[0.8679092 0.1320908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.96600713313933]
Predicted rank: [0], ambiguousness: [[0.8357048  0.16429523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.09714002718442]
Predicted rank: [0], ambiguousness: [[0.83341926 0.16658072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.20189840438383]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.43523591270699]
Predicted rank: [0], ambiguousness: [[0.63643944 0.3635606 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.68792199949397]
Predicted rank: [0], ambiguousness: [[0.7432784  0.25672165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.98648276639153]
Predicted rank: [0], ambiguousness: [[0.72890913 0.27109084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.02822520461513]
Predicted rank: [0], ambiguousness: [[0.80587286 0.19412714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.36197057871982]
Predicted rank: [0], ambiguousness: [[0.7856937  0.21430628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.46158657406917]
Predicted rank: [0], ambiguousness: [[0.82360387 0.17639615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.50152427192384]
Predicted rank: [0], ambiguousness: [[0.88068223 0.11931776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.6279089497281]
Predicted rank: [0], ambiguousness: [[0.6957121  0.30428788]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.98723557344519]
Predicted rank: [0], ambiguousness: [[0.7199518 0.2800482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.12839931640383]
Predicted rank: [0], ambiguousness: [[0.783272 0.216728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.16816940782837]
Predicted rank: [0], ambiguousness: [[0.89080995 0.10919006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.22780361670573]
Predicted rank: [0], ambiguousness: [[0.67245686 0.3275431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.29883446766345]
Predicted rank: [0], ambiguousness: [[0.85645974 0.14354023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.3311270212135]
Predicted rank: [0], ambiguousness: [[0.69423974 0.30576023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.3416389934505]
Predicted rank: [0], ambiguousness: [[0.58524394 0.41475603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.59072756607358]
Predicted rank: [0], ambiguousness: [[0.6141653 0.3858347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.83017410859509]
Predicted rank: [0], ambiguousness: [[0.7034684  0.29653162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.89339487598264]
Predicted rank: [0], ambiguousness: [[0.88339156 0.11660844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.15781369134885]
Predicted rank: [0], ambiguousness: [[0.71628594 0.28371403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.2603048548579]
Predicted rank: [0], ambiguousness: [[0.91435397 0.085646  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.3250897281003]
Predicted rank: [0], ambiguousness: [[0.7955548  0.20444517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.75723771638283]
Predicted rank: [0], ambiguousness: [[0.6483141 0.3516859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.86211475673275]
Predicted rank: [0], ambiguousness: [[0.8832548  0.11674518]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.97271778148496]
Predicted rank: [0], ambiguousness: [[0.76972544 0.23027454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.05903841246224]
Predicted rank: [0], ambiguousness: [[0.5934855  0.40651453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.83504032232455]
Predicted rank: [0], ambiguousness: [[0.58540416 0.41459587]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.97972301073985]
Predicted rank: [0], ambiguousness: [[0.8321718  0.16782822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.1513256757727]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.40125183344172]
Predicted rank: [0], ambiguousness: [[0.79451686 0.20548315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.81344257498921]
Predicted rank: [0], ambiguousness: [[0.66326773 0.3367323 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.63235612204117]
Predicted rank: [0], ambiguousness: [[0.6219264  0.37807357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.06452384787346]
Predicted rank: [0], ambiguousness: [[0.6028566  0.39714342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.33298388601202]
Predicted rank: [0], ambiguousness: [[0.7151475 0.2848525]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.61394549233697]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.70550448283268]
Predicted rank: [0], ambiguousness: [[0.774967   0.22503297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.02527696047994]
Predicted rank: [0], ambiguousness: [[0.7606187  0.23938134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.13094615647142]
Predicted rank: [0], ambiguousness: [[0.8018458 0.1981542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.17296011479701]
Predicted rank: [0], ambiguousness: [[0.85961163 0.1403884 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.39407936292724]
Predicted rank: [0], ambiguousness: [[0.65124077 0.34875923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.74528147448503]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.89158109808943]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.93251827137934]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.99653060972516]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.06933346686371]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.1033160808768]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.02168908816805]
Predicted rank: [0], ambiguousness: [[0.55556786 0.4444321 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.25343537953427]
Predicted rank: [0], ambiguousness: [[0.5956718  0.40432826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.50695929173665]
Predicted rank: [0], ambiguousness: [[0.6870743  0.31292567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.57335001458972]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.86244781049226]
Predicted rank: [0], ambiguousness: [[0.69092405 0.30907598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.96920826689008]
Predicted rank: [0], ambiguousness: [[0.90048033 0.09951966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.03831494621235]
Predicted rank: [0], ambiguousness: [[0.7673339  0.23266608]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.53726625038951]
Predicted rank: [0], ambiguousness: [[0.63047254 0.36952743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.64498802147014]
Predicted rank: [0], ambiguousness: [[0.8701715  0.12982853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.76003307201378]
Predicted rank: [0], ambiguousness: [[0.7475555  0.25244454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.85152640498714]
Predicted rank: [0], ambiguousness: [[0.5639598  0.43604022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.6436213147638]
Predicted rank: [0], ambiguousness: [[0.6218705  0.37812948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.79158468842328]
Predicted rank: [0], ambiguousness: [[0.8452888  0.15471119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.96822256910121]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.22802281838386]
Predicted rank: [0], ambiguousness: [[0.8062113 0.1937887]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.66562107493465]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.56264093370316]
Predicted rank: [0], ambiguousness: [[0.6375282  0.36247182]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.2936116085575]
Predicted rank: [0], ambiguousness: [[0.597092   0.40290803]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.539098181525]
Predicted rank: [0], ambiguousness: [[0.6249527 0.3750473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.78233879597525]
Predicted rank: [0], ambiguousness: [[0.74079084 0.25920913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.84633470844992]
Predicted rank: [0], ambiguousness: [[0.8839192  0.11608081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.11899237968458]
Predicted rank: [0], ambiguousness: [[0.7917067 0.2082933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.22241039737771]
Predicted rank: [0], ambiguousness: [[0.9082164  0.09178359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.28820215174062]
Predicted rank: [0], ambiguousness: [[0.822318   0.17768198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.7461907445334]
Predicted rank: [0], ambiguousness: [[0.6851718  0.31482822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.85125670864363]
Predicted rank: [0], ambiguousness: [[0.8842945  0.11570548]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.96218821215463]
Predicted rank: [0], ambiguousness: [[0.800653 0.199347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.04879908623916]
Predicted rank: [0], ambiguousness: [[0.67595685 0.32404312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.251320187036]
Predicted rank: [0], ambiguousness: [[0.5592062 0.4407938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.41406791260948]
Predicted rank: [0], ambiguousness: [[0.8388809  0.16111912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.61673667433395]
Predicted rank: [0], ambiguousness: [[0.7681159  0.23188414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.93698410958822]
Predicted rank: [0], ambiguousness: [[0.71427274 0.28572723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.53954219865015]
Predicted rank: [0], ambiguousness: [[0.65324455 0.34675545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.56634981993406]
Predicted rank: [0], ambiguousness: [[0.5754676  0.42453244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.08329706485438]
Predicted rank: [0], ambiguousness: [[0.564602 0.435398]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.31574338390332]
Predicted rank: [0], ambiguousness: [[0.60369235 0.39630765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.57036768365697]
Predicted rank: [0], ambiguousness: [[0.7231885  0.27681145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.63686449768005]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.9306639137107]
Predicted rank: [0], ambiguousness: [[0.7765189  0.22348112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.03736317573149]
Predicted rank: [0], ambiguousness: [[0.89646477 0.10353522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.1065509685326]
Predicted rank: [0], ambiguousness: [[0.8019663  0.19803368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.62504192115424]
Predicted rank: [0], ambiguousness: [[0.6520335 0.3479665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.73196178019917]
Predicted rank: [0], ambiguousness: [[0.86298853 0.13701145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.84586113768067]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.93587599347003]
Predicted rank: [0], ambiguousness: [[0.6322421  0.36775792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.06252407534241]
Predicted rank: [0], ambiguousness: [[0.5423006 0.4576994]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.23042609549759]
Predicted rank: [0], ambiguousness: [[0.8231504  0.17684962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.44165058449632]
Predicted rank: [0], ambiguousness: [[0.7475555  0.25244454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.78060630419563]
Predicted rank: [0], ambiguousness: [[0.69085974 0.30914026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.43527286354153]
Predicted rank: [0], ambiguousness: [[0.6274391  0.37256092]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.48689085306373]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.29140870382767]
Predicted rank: [0], ambiguousness: [[0.5741414  0.42585865]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.45471005711761]
Predicted rank: [0], ambiguousness: [[0.8256157  0.17438431]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.65868301452548]
Predicted rank: [0], ambiguousness: [[0.7817926  0.21820743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.98344915413733]
Predicted rank: [0], ambiguousness: [[0.7793465  0.22065347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.6027047671376]
Predicted rank: [0], ambiguousness: [[0.6663146 0.3336854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.05345275953411]
Predicted rank: [0], ambiguousness: [[0.56426525 0.43573478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.66875360363017]
Predicted rank: [0], ambiguousness: [[0.60382855 0.39617142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.82706637622934]
Predicted rank: [0], ambiguousness: [[0.8250434  0.17495663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.02378046487902]
Predicted rank: [0], ambiguousness: [[0.78462017 0.21537982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.33574694964699]
Predicted rank: [0], ambiguousness: [[0.77512676 0.22487323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.92967156810766]
Predicted rank: [0], ambiguousness: [[0.6566303 0.3433697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.44913592338546]
Predicted rank: [0], ambiguousness: [[0.57306623 0.42693377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.55925146964616]
Predicted rank: [0], ambiguousness: [[0.55107594 0.4489241 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.38676844672275]
Predicted rank: [0], ambiguousness: [[0.57966936 0.42033067]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.25468574168083]
Predicted rank: [0], ambiguousness: [[0.71288204 0.28711793]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.41949798249829]
Predicted rank: [0], ambiguousness: [[0.7254399 0.2745601]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.50475909295967]
Predicted rank: [0], ambiguousness: [[0.6782651 0.3217349]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.57279558528053]
Predicted rank: [0], ambiguousness: [[0.7145901  0.28540993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 108.06888795669845]
Predicted rank: [0], ambiguousness: [[0.5805199  0.41948006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.30716243529218]
Predicted rank: [0], ambiguousness: [[0.5545316 0.4454684]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.81786177045794]
Predicted rank: [0], ambiguousness: [[0.6726765 0.3273235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.26068930893805]
Predicted rank: [0], ambiguousness: [[0.71191216 0.28808784]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.39139846193146]
Predicted rank: [0], ambiguousness: [[0.6567378  0.34326223]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.47843071970843]
Predicted rank: [0], ambiguousness: [[0.6805279  0.31947207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.9185533587137]
Predicted rank: [0], ambiguousness: [[0.55335534 0.4466447 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.03095102297718]
Predicted rank: [0], ambiguousness: [[0.7482251  0.25177488]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.20107051650137]
Predicted rank: [0], ambiguousness: [[0.8033483  0.19665168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.28453223911539]
Predicted rank: [0], ambiguousness: [[0.83817524 0.16182476]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.75443676769743]
Predicted rank: [0], ambiguousness: [[0.7164055  0.28359446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.3350868844876]
Predicted rank: [0], ambiguousness: [[0.70028615 0.29971388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.44646990017976]
Predicted rank: [0], ambiguousness: [[0.7600495 0.2399505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.9191606314274]
Predicted rank: [0], ambiguousness: [[0.71364963 0.2863504 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.51774313151094]
Predicted rank: [0], ambiguousness: [[0.6638491 0.3361509]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.99508093579949]
Predicted rank: [0], ambiguousness: [[0.6345511 0.3654489]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 108.03554057769811]
Predicted rank: [0], ambiguousness: [[0.6543232 0.3456768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 108.05461876814252]
Predicted rank: [0], ambiguousness: [[0.7748944  0.22510558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.08519463110403]
Predicted rank: [0], ambiguousness: [[0.51879114 0.48120886]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.6318831791258]
Predicted rank: [0], ambiguousness: [[0.6869043  0.31309572]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.09796149249738]
Predicted rank: [0], ambiguousness: [[0.7373713  0.26262867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.23176354842525]
Predicted rank: [0], ambiguousness: [[0.702882 0.297118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.32005524804563]
Predicted rank: [0], ambiguousness: [[0.7287948 0.2712052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.75638919196743]
Predicted rank: [0], ambiguousness: [[0.60182333 0.39817664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.93743210019194]
Predicted rank: [0], ambiguousness: [[0.7715052  0.22849482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.10848640606764]
Predicted rank: [0], ambiguousness: [[0.82597035 0.17402966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.19218638135928]
Predicted rank: [0], ambiguousness: [[0.84591556 0.15408444]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.66138518124592]
Predicted rank: [0], ambiguousness: [[0.7433095 0.2566905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.24339675037302]
Predicted rank: [0], ambiguousness: [[0.7428683  0.25713173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.35509863256496]
Predicted rank: [0], ambiguousness: [[0.7998358  0.20016417]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.82712516219394]
Predicted rank: [0], ambiguousness: [[0.7525031  0.24749689]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.42672959515411]
Predicted rank: [0], ambiguousness: [[0.71474886 0.28525114]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.90343741774582]
Predicted rank: [0], ambiguousness: [[0.6974598  0.30254015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.94403851686187]
Predicted rank: [0], ambiguousness: [[0.7194196 0.2805804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.96317421386166]
Predicted rank: [0], ambiguousness: [[0.80918396 0.19081603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.27368318931843]
Predicted rank: [0], ambiguousness: [[0.61762226 0.38237777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.40615131041625]
Predicted rank: [0], ambiguousness: [[0.65821975 0.34178025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.00721283749743]
Predicted rank: [0], ambiguousness: [[0.717825 0.282175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.14849901911623]
Predicted rank: [0], ambiguousness: [[0.70487356 0.29512644]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.239371043086]
Predicted rank: [0], ambiguousness: [[0.67032766 0.32967237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.66986815268976]
Predicted rank: [0], ambiguousness: [[0.5531943 0.4468057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.33552679676916]
Predicted rank: [0], ambiguousness: [[0.74127257 0.2587274 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.6231263691995]
Predicted rank: [0], ambiguousness: [[0.80616575 0.19383423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.74036183640817]
Predicted rank: [0], ambiguousness: [[0.8185135 0.1814865]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.12827180148369]
Predicted rank: [0], ambiguousness: [[0.7145413  0.28545868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.03374188467359]
Predicted rank: [0], ambiguousness: [[0.7409807  0.25901932]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.18403426984871]
Predicted rank: [0], ambiguousness: [[0.7876549  0.21234514]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.59172135212361]
Predicted rank: [0], ambiguousness: [[0.74809873 0.2519013 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.29861673845568]
Predicted rank: [0], ambiguousness: [[0.6960163  0.30398372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.71535430212766]
Predicted rank: [0], ambiguousness: [[0.6860292  0.31397083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.77281969202699]
Predicted rank: [0], ambiguousness: [[0.69495976 0.3050402 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.79850709618945]
Predicted rank: [0], ambiguousness: [[0.8122901  0.18770993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.80826106267232]
Predicted rank: [0], ambiguousness: [[0.7049359  0.29506406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.95685264394996]
Predicted rank: [0], ambiguousness: [[0.8024717 0.1975283]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.39052118810687]
Predicted rank: [0], ambiguousness: [[0.78125197 0.21874805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.11269652118852]
Predicted rank: [0], ambiguousness: [[0.8381705 0.1618295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.56088145793623]
Predicted rank: [0], ambiguousness: [[0.8323467  0.16765335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.61681703297106]
Predicted rank: [0], ambiguousness: [[0.8405425  0.15945752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.64112191967706]
Predicted rank: [0], ambiguousness: [[0.8991465  0.10085353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.24096995668421]
Predicted rank: [0], ambiguousness: [[0.69826376 0.3017362 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.68599202835068]
Predicted rank: [0], ambiguousness: [[0.7385081 0.2614919]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.77707450095389]
Predicted rank: [0], ambiguousness: [[0.79155564 0.20844434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.80496609737881]
Predicted rank: [0], ambiguousness: [[0.8923874  0.10761262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.82349155322495]
Predicted rank: [0], ambiguousness: [[0.68109703 0.318903  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.87626357185943]
Predicted rank: [0], ambiguousness: [[0.8649493  0.13505071]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.89203206857226]
Predicted rank: [0], ambiguousness: [[0.69890517 0.30109483]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.02447802054863]
Predicted rank: [0], ambiguousness: [[0.5490403 0.4509597]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.10698751008576]
Predicted rank: [0], ambiguousness: [[0.6208445  0.37915552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.7763175133835]
Predicted rank: [0], ambiguousness: [[0.69333124 0.3066688 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.92337549142178]
Predicted rank: [0], ambiguousness: [[0.64902437 0.35097563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.01649645284053]
Predicted rank: [0], ambiguousness: [[0.6414623  0.35853764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.44079561386403]
Predicted rank: [0], ambiguousness: [[0.52796125 0.47203875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.136449918345]
Predicted rank: [0], ambiguousness: [[0.7387154 0.2612846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.43379812882611]
Predicted rank: [0], ambiguousness: [[0.79006195 0.20993805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.55346842670642]
Predicted rank: [0], ambiguousness: [[0.8357886  0.16421142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.93556584788159]
Predicted rank: [0], ambiguousness: [[0.7023046  0.29769537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.86780376696528]
Predicted rank: [0], ambiguousness: [[0.73368025 0.26631978]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.02064638652541]
Predicted rank: [0], ambiguousness: [[0.7993488  0.20065123]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.42397933078443]
Predicted rank: [0], ambiguousness: [[0.74867195 0.25132805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.13816108407364]
Predicted rank: [0], ambiguousness: [[0.7161641 0.2838359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.55084031867247]
Predicted rank: [0], ambiguousness: [[0.68140996 0.31859007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.60941764972932]
Predicted rank: [0], ambiguousness: [[0.71323085 0.28676918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.63553869125946]
Predicted rank: [0], ambiguousness: [[0.81839186 0.18160813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.71419279727665]
Predicted rank: [0], ambiguousness: [[0.69703496 0.30296504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.86333011973744]
Predicted rank: [0], ambiguousness: [[0.8135428  0.18645722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.29614593699262]
Predicted rank: [0], ambiguousness: [[0.7817718  0.21822824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.02009031029152]
Predicted rank: [0], ambiguousness: [[0.8428385  0.15716149]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.46752017316585]
Predicted rank: [0], ambiguousness: [[0.8203468  0.17965324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.52366812184798]
Predicted rank: [0], ambiguousness: [[0.85809016 0.14190982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.54805337575392]
Predicted rank: [0], ambiguousness: [[0.897156   0.10284397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 108.14925005081065]
Predicted rank: [0], ambiguousness: [[0.7042416  0.29575843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.59354191931938]
Predicted rank: [0], ambiguousness: [[0.734362   0.26563802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.68494430013058]
Predicted rank: [0], ambiguousness: [[0.8056588  0.19434117]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.71292066847678]
Predicted rank: [0], ambiguousness: [[0.8962182 0.1037818]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.73170571353641]
Predicted rank: [0], ambiguousness: [[0.70521724 0.2947828 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.78460873553566]
Predicted rank: [0], ambiguousness: [[0.8668219  0.13317811]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.80048291604125]
Predicted rank: [0], ambiguousness: [[0.70508814 0.2949119 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.34883094918533]
Predicted rank: [0], ambiguousness: [[0.69108 0.30892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.97331636510637]
Predicted rank: [0], ambiguousness: [[0.74066925 0.25933075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.11496876400801]
Predicted rank: [0], ambiguousness: [[0.68859327 0.31140676]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.20599223105475]
Predicted rank: [0], ambiguousness: [[0.71114665 0.28885335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.63617157358648]
Predicted rank: [0], ambiguousness: [[0.5887978 0.4112022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.84573151408392]
Predicted rank: [0], ambiguousness: [[0.71846986 0.28153017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.19583669503547]
Predicted rank: [0], ambiguousness: [[0.7844635  0.21553645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.32436487913719]
Predicted rank: [0], ambiguousness: [[0.7880051  0.21199487]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.69022654777922]
Predicted rank: [0], ambiguousness: [[0.650988 0.349012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.76969240978565]
Predicted rank: [0], ambiguousness: [[0.7182442  0.28175583]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.92839733167177]
Predicted rank: [0], ambiguousness: [[0.7501877  0.24981232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.32463940556266]
Predicted rank: [0], ambiguousness: [[0.70853776 0.29146224]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.05314185770055]
Predicted rank: [0], ambiguousness: [[0.6115699  0.38843012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.45947036077618]
Predicted rank: [0], ambiguousness: [[0.6414864  0.35851356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.52051898141838]
Predicted rank: [0], ambiguousness: [[0.62894225 0.37105775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.54746281775988]
Predicted rank: [0], ambiguousness: [[0.8086936  0.19130641]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.02087796702534]
Predicted rank: [0], ambiguousness: [[0.6345342  0.36546582]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.24027666996838]
Predicted rank: [0], ambiguousness: [[0.74170583 0.25829417]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.57294173414127]
Predicted rank: [0], ambiguousness: [[0.72728086 0.27271912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.51012931943126]
Predicted rank: [0], ambiguousness: [[0.79898924 0.20101075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.87005039287237]
Predicted rank: [0], ambiguousness: [[0.77829146 0.22170855]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.95744184985703]
Predicted rank: [0], ambiguousness: [[0.8133601  0.18663993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.9932907680097]
Predicted rank: [0], ambiguousness: [[0.87835133 0.12164867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.91799313117315]
Predicted rank: [0], ambiguousness: [[0.6811005  0.31889948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.29071727557675]
Predicted rank: [0], ambiguousness: [[0.7060123 0.2939877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.42241212893876]
Predicted rank: [0], ambiguousness: [[0.7714839  0.22851609]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.46014554671936]
Predicted rank: [0], ambiguousness: [[0.8898269  0.11017308]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.511155125735]
Predicted rank: [0], ambiguousness: [[0.6572787  0.34272128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.57915689209784]
Predicted rank: [0], ambiguousness: [[0.8552178  0.14478219]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.60833897786203]
Predicted rank: [0], ambiguousness: [[0.67959    0.32040998]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.69575327659857]
Predicted rank: [0], ambiguousness: [[0.6407628 0.3592372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.09513218936546]
Predicted rank: [0], ambiguousness: [[0.6672864  0.33271357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.2267589783147]
Predicted rank: [0], ambiguousness: [[0.7871242  0.21287577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.26434803496679]
Predicted rank: [0], ambiguousness: [[0.9066545  0.09334551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.36630130095651]
Predicted rank: [0], ambiguousness: [[0.82195306 0.17804696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.43216407180157]
Predicted rank: [0], ambiguousness: [[0.9272033  0.07279668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.46143219579918]
Predicted rank: [0], ambiguousness: [[0.84566313 0.15433688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.47858089117064]
Predicted rank: [0], ambiguousness: [[0.6722928  0.32770717]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.55326927559614]
Predicted rank: [0], ambiguousness: [[0.8841914 0.1158086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.6183635528071]
Predicted rank: [0], ambiguousness: [[0.7910576  0.20894244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.65317750218213]
Predicted rank: [0], ambiguousness: [[0.6628865  0.33711353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.0022387072242]
Predicted rank: [0], ambiguousness: [[0.65205014 0.3479499 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.71519474184561]
Predicted rank: [0], ambiguousness: [[0.7019737 0.2980263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.86294580143797]
Predicted rank: [0], ambiguousness: [[0.6458428  0.35415724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.95635315883376]
Predicted rank: [0], ambiguousness: [[0.6700086 0.3299914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.38005113617149]
Predicted rank: [0], ambiguousness: [[0.55231154 0.4476885 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.51252938556713]
Predicted rank: [0], ambiguousness: [[0.6953958 0.3046042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.88956252287196]
Predicted rank: [0], ambiguousness: [[0.75697684 0.24302313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.02360994765681]
Predicted rank: [0], ambiguousness: [[0.7608324  0.23916759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.37774964179286]
Predicted rank: [0], ambiguousness: [[0.6251448  0.37485522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.53334029091309]
Predicted rank: [0], ambiguousness: [[0.6951595 0.3048405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.6967801426888]
Predicted rank: [0], ambiguousness: [[0.72873175 0.27126828]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.0857967571481]
Predicted rank: [0], ambiguousness: [[0.6943699 0.3056301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.82702664486837]
Predicted rank: [0], ambiguousness: [[0.5847977  0.41520232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.22668890390176]
Predicted rank: [0], ambiguousness: [[0.6257807  0.37421933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.28977947853413]
Predicted rank: [0], ambiguousness: [[0.61301845 0.38698155]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.31747980006158]
Predicted rank: [0], ambiguousness: [[0.78764284 0.2123572 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.81556100511102]
Predicted rank: [0], ambiguousness: [[0.658916 0.341084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.04032015820755]
Predicted rank: [0], ambiguousness: [[0.77314675 0.22685324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.36565738179084]
Predicted rank: [0], ambiguousness: [[0.750498   0.24950199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.31971956549495]
Predicted rank: [0], ambiguousness: [[0.8182819 0.1817181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.6733780400312]
Predicted rank: [0], ambiguousness: [[0.7931384  0.20686163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.76304827250044]
Predicted rank: [0], ambiguousness: [[0.83545136 0.1645486 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.79972336429796]
Predicted rank: [0], ambiguousness: [[0.87781644 0.12218358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.75131033620542]
Predicted rank: [0], ambiguousness: [[0.70626384 0.29373616]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.11919328740248]
Predicted rank: [0], ambiguousness: [[0.7362554  0.26374456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.25353984916461]
Predicted rank: [0], ambiguousness: [[0.80717754 0.19282247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.29192219659555]
Predicted rank: [0], ambiguousness: [[0.89531964 0.10468037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.34516764501777]
Predicted rank: [0], ambiguousness: [[0.7072356  0.29276443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.41416458868875]
Predicted rank: [0], ambiguousness: [[0.8657069  0.13429311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.44421903554948]
Predicted rank: [0], ambiguousness: [[0.70710695 0.29289302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.60208196607853]
Predicted rank: [0], ambiguousness: [[0.66755545 0.33244452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 107.00050345586916]
Predicted rank: [0], ambiguousness: [[0.69981956 0.30018044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 107.13270620916416]
Predicted rank: [0], ambiguousness: [[0.82094187 0.17905815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 107.17043066296672]
Predicted rank: [0], ambiguousness: [[0.9113918  0.08860821]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.2732240968385]
Predicted rank: [0], ambiguousness: [[0.845293 0.154707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.33927565935983]
Predicted rank: [0], ambiguousness: [[0.9288798 0.0711202]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.36871223088959]
Predicted rank: [0], ambiguousness: [[0.854231   0.14576899]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 107.38639761945217]
Predicted rank: [0], ambiguousness: [[0.70698774 0.29301223]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 107.46129086469843]
Predicted rank: [0], ambiguousness: [[0.89284444 0.10715556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.52666723513646]
Predicted rank: [0], ambiguousness: [[0.8116547  0.18834528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.56181524374676]
Predicted rank: [0], ambiguousness: [[0.69453573 0.30546427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.77926829428964]
Predicted rank: [0], ambiguousness: [[0.7309161  0.26908392]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.13758432556251]
Predicted rank: [0], ambiguousness: [[0.788759   0.21124104]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.26729729021037]
Predicted rank: [0], ambiguousness: [[0.8256088  0.17439122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.6311359221201]
Predicted rank: [0], ambiguousness: [[0.69779253 0.3022075 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.73605602798003]
Predicted rank: [0], ambiguousness: [[0.7316774  0.26832256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.89510672870273]
Predicted rank: [0], ambiguousness: [[0.78708446 0.21291551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.29096639593303]
Predicted rank: [0], ambiguousness: [[0.7441526 0.2558474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 107.02019815872328]
Predicted rank: [0], ambiguousness: [[0.6974077 0.3025923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.42618130254267]
Predicted rank: [0], ambiguousness: [[0.6695788 0.3304212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.48737667029405]
Predicted rank: [0], ambiguousness: [[0.6883864  0.31161362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.51436977380877]
Predicted rank: [0], ambiguousness: [[0.81846964 0.18153037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.49461181475577]
Predicted rank: [0], ambiguousness: [[0.6412654  0.35873464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.74380615058419]
Predicted rank: [0], ambiguousness: [[0.7198162 0.2801838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.04550993038336]
Predicted rank: [0], ambiguousness: [[0.7105428  0.28945723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.07587486739574]
Predicted rank: [0], ambiguousness: [[0.7313516  0.26864842]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.41182914483767]
Predicted rank: [0], ambiguousness: [[0.7702438  0.22975619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.51026094036715]
Predicted rank: [0], ambiguousness: [[0.77023834 0.22976165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.54981391122107]
Predicted rank: [0], ambiguousness: [[0.867186 0.132814]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.65033231265483]
Predicted rank: [0], ambiguousness: [[0.6742877  0.32571235]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.01009628758209]
Predicted rank: [0], ambiguousness: [[0.70018077 0.2998192 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.15087627010945]
Predicted rank: [0], ambiguousness: [[0.74045366 0.25954634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.19057091972503]
Predicted rank: [0], ambiguousness: [[0.88917315 0.11082688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.2499377531802]
Predicted rank: [0], ambiguousness: [[0.57677984 0.42322016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.32085095167533]
Predicted rank: [0], ambiguousness: [[0.86109173 0.1389083 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.3530168760727]
Predicted rank: [0], ambiguousness: [[0.65610975 0.34389025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.87074468162092]
Predicted rank: [0], ambiguousness: [[0.5996305  0.40036952]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.15605243080986]
Predicted rank: [0], ambiguousness: [[0.6274252  0.37257484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.36259195912649]
Predicted rank: [0], ambiguousness: [[0.74281394 0.25718606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.41877775627361]
Predicted rank: [0], ambiguousness: [[0.8888799  0.11112013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.62153196168545]
Predicted rank: [0], ambiguousness: [[0.7949272  0.20507282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.71495441871684]
Predicted rank: [0], ambiguousness: [[0.91296595 0.08703406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.7701951687055]
Predicted rank: [0], ambiguousness: [[0.8214544  0.17854562]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.03595582725531]
Predicted rank: [0], ambiguousness: [[0.6744326  0.32556742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.13567772027035]
Predicted rank: [0], ambiguousness: [[0.8832022  0.11679778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.23776841842988]
Predicted rank: [0], ambiguousness: [[0.79266095 0.20733902]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.3138389053994]
Predicted rank: [0], ambiguousness: [[0.66505706 0.33494297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.84735363273748]
Predicted rank: [0], ambiguousness: [[0.6337051  0.36629492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.94593464826946]
Predicted rank: [0], ambiguousness: [[0.8632976  0.13670243]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 107.04888311058102]
Predicted rank: [0], ambiguousness: [[0.82134986 0.17865017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.17902859547459]
Predicted rank: [0], ambiguousness: [[0.82058525 0.17941473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.28290053667175]
Predicted rank: [0], ambiguousness: [[0.6674241  0.33257595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.39176573399928]
Predicted rank: [0], ambiguousness: [[0.7115387  0.28846136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.78404538836078]
Predicted rank: [0], ambiguousness: [[0.7643677  0.23563233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.92030315132541]
Predicted rank: [0], ambiguousness: [[0.8044174  0.19558266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 105.27066415001951]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 106.47366287270734]
Predicted rank: [0], ambiguousness: [[0.69990385 0.30009615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 106.63775658072466]
Predicted rank: [0], ambiguousness: [[0.7597173  0.24028271]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 106.02604970725835]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.76865968955772]
Predicted rank: [0], ambiguousness: [[0.66344273 0.3365573 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 106.16766855057224]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.23103663723421]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.25883009973867]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.14659768823118]
Predicted rank: [0], ambiguousness: [[0.6238378 0.3761622]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.40928854427133]
Predicted rank: [0], ambiguousness: [[0.70444596 0.29555407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.69530914019779]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.76800565310822]
Predicted rank: [0], ambiguousness: [[0.7072826 0.2927174]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.09126960428846]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.1950054138238]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.23639561234603]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.41369788673784]
Predicted rank: [0], ambiguousness: [[0.6576078  0.34239218]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.76536314534474]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.91116621663436]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.95201284426324]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.0157143032101]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.08837387301827]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.12219239721405]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.66485127348358]
Predicted rank: [0], ambiguousness: [[0.6361805 0.3638195]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.9418339112697]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.15408272436471]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.21165470397142]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.42321301975367]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.51861246137506]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.57574370872322]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.86352730364399]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.96488165526864]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.06937999217664]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.14827271408458]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.75433653911361]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.85325639127211]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.95673307517508]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.08786652459182]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 107.19262535854331]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.42611224937434]
Predicted rank: [0], ambiguousness: [[0.6513014  0.34869862]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.67879833616132]
Predicted rank: [0], ambiguousness: [[0.7554511  0.24454895]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.97735910305889]
Predicted rank: [0], ambiguousness: [[0.74152625 0.25847378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.0191015412825]
Predicted rank: [0], ambiguousness: [[0.81046504 0.18953495]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.35284691538715]
Predicted rank: [0], ambiguousness: [[0.7906393  0.20936075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.45246291073651]
Predicted rank: [0], ambiguousness: [[0.824196   0.17580403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.4924006085912]
Predicted rank: [0], ambiguousness: [[0.8803905  0.11960947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.61878528639545]
Predicted rank: [0], ambiguousness: [[0.70925796 0.290742  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.97811191011255]
Predicted rank: [0], ambiguousness: [[0.73283297 0.26716703]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 106.11927565307118]
Predicted rank: [0], ambiguousness: [[0.79407376 0.20592624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 106.15904574449571]
Predicted rank: [0], ambiguousness: [[0.8973482  0.10265177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 106.21867995337308]
Predicted rank: [0], ambiguousness: [[0.6865716 0.3134284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.28971080433081]
Predicted rank: [0], ambiguousness: [[0.86474264 0.13525733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.32200335788085]
Predicted rank: [0], ambiguousness: [[0.70782363 0.2921764 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.33251533011784]
Predicted rank: [0], ambiguousness: [[0.60088634 0.39911368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.58160390274091]
Predicted rank: [0], ambiguousness: [[0.62940764 0.3705924 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.82105044526244]
Predicted rank: [0], ambiguousness: [[0.7168095  0.28319052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.88427121264999]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.1486900280162]
Predicted rank: [0], ambiguousness: [[0.7222671 0.2777329]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.25118119152526]
Predicted rank: [0], ambiguousness: [[0.9169688  0.08303121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.31596606476764]
Predicted rank: [0], ambiguousness: [[0.7962178  0.20378217]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.74811405305019]
Predicted rank: [0], ambiguousness: [[0.6629478  0.33705226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.8529910934001]
Predicted rank: [0], ambiguousness: [[0.89018977 0.1098102 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.96359411815232]
Predicted rank: [0], ambiguousness: [[0.7810136  0.21898638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.0499147491296]
Predicted rank: [0], ambiguousness: [[0.60902464 0.39097533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.82591665899189]
Predicted rank: [0], ambiguousness: [[0.6010446 0.3989554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.97059934740719]
Predicted rank: [0], ambiguousness: [[0.84159696 0.15840302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.14220201244004]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.39212817010906]
Predicted rank: [0], ambiguousness: [[0.7993108 0.2006892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.80431891165655]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.62323245870851]
Predicted rank: [0], ambiguousness: [[0.63704336 0.36295664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 105.02446489607667]
Predicted rank: [0], ambiguousness: [[0.618268 0.381732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 105.29362290775299]
Predicted rank: [0], ambiguousness: [[0.7281662 0.2718338]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 104.57380884169123]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.66757712035034]
Predicted rank: [0], ambiguousness: [[0.78009087 0.21990913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.98673523078554]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.09267078500238]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.13477599099143]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 106.36010118594893]
Predicted rank: [0], ambiguousness: [[0.66581535 0.33418462]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 105.71094922018034]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 105.85747117352189]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 105.89845894917761]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.96266095130284]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 106.035540636266]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 106.06959640875127]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.98428049086985]
Predicted rank: [0], ambiguousness: [[0.5715101  0.42848992]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.2152787954941]
Predicted rank: [0], ambiguousness: [[0.61118215 0.38881785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.46940760780655]
Predicted rank: [0], ambiguousness: [[0.7008394  0.29916063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.53593455409184]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.82609183082094]
Predicted rank: [0], ambiguousness: [[0.69721377 0.3027862 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.93303577111863]
Predicted rank: [0], ambiguousness: [[0.903474   0.09652603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.00232804126415]
Predicted rank: [0], ambiguousness: [[0.76806176 0.23193823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.50413195752249]
Predicted rank: [0], ambiguousness: [[0.6454426 0.3545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.6119765257282]
Predicted rank: [0], ambiguousness: [[0.877776   0.12222395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.72721305785137]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.81892999115078]
Predicted rank: [0], ambiguousness: [[0.5798286 0.4201714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.6117277377626]
Predicted rank: [0], ambiguousness: [[0.6369884 0.3630116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.75983213078683]
Predicted rank: [0], ambiguousness: [[0.8541065  0.14589351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.93668659672176]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.19691296009441]
Predicted rank: [0], ambiguousness: [[0.8107974 0.1892026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.6356004977312]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.53585399686798]
Predicted rank: [0], ambiguousness: [[0.65237    0.34763005]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 105.26842226285575]
Predicted rank: [0], ambiguousness: [[0.614731 0.385269]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.5137581378628]
Predicted rank: [0], ambiguousness: [[0.64210314 0.35789686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.75711407909947]
Predicted rank: [0], ambiguousness: [[0.75472313 0.24527687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.82113631182082]
Predicted rank: [0], ambiguousness: [[0.89169747 0.10830251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.09398955169146]
Predicted rank: [0], ambiguousness: [[0.80505645 0.19494352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.19744346278426]
Predicted rank: [0], ambiguousness: [[0.9152311  0.08476892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.26327073315304]
Predicted rank: [0], ambiguousness: [[0.83055276 0.16944726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.72175844002376]
Predicted rank: [0], ambiguousness: [[0.7008864  0.29911357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.82685029253949]
Predicted rank: [0], ambiguousness: [[0.89205074 0.10794926]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.93782089531986]
Predicted rank: [0], ambiguousness: [[0.8121835  0.18781653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 106.02447704689199]
Predicted rank: [0], ambiguousness: [[0.6919247  0.30807528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.22605063479412]
Predicted rank: [0], ambiguousness: [[0.57732975 0.42267025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.38886039821256]
Predicted rank: [0], ambiguousness: [[0.8491621  0.15083791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.591628767668]
Predicted rank: [0], ambiguousness: [[0.7810136  0.21898638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.91208161720269]
Predicted rank: [0], ambiguousness: [[0.7308986 0.2691014]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.51516510405827]
Predicted rank: [0], ambiguousness: [[0.6697848 0.3302152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.54198005146347]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [104.0819702159925, 104.88997954294047]
Predicted rank: [0], ambiguousness: [[0.58046484 0.41953516]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [104.0819702159925, 104.11489140681073]
Predicted rank: [0], ambiguousness: [[0.61909187 0.38090816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [104.0819702159925, 104.37551326641118]
Predicted rank: [0], ambiguousness: [[0.73597544 0.26402456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [104.0819702159925, 104.44336224982035]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.74774721515578]
Predicted rank: [0], ambiguousness: [[0.7816173 0.2183827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.85626321474342]
Predicted rank: [0], ambiguousness: [[0.8995657  0.10043427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.92726945121137]
Predicted rank: [0], ambiguousness: [[0.80261374 0.1973863 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 105.4741294511781]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 105.58224862846807]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 105.69797389022968]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.79008904310587]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.87456245727299]
Predicted rank: [0], ambiguousness: [[0.5583403  0.44165966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.04539748895273]
Predicted rank: [0], ambiguousness: [[0.8329805  0.16701949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.26135845144688]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.61025991867984]
Predicted rank: [0], ambiguousness: [[0.69715023 0.30284977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.29098753705551]
Predicted rank: [0], ambiguousness: [[0.6424623 0.3575377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.34591173440401]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 104.1710193076465]
Predicted rank: [0], ambiguousness: [[0.60298634 0.39701366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.3358426401978]
Predicted rank: [0], ambiguousness: [[0.8426744 0.1573256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.54223918416037]
Predicted rank: [0], ambiguousness: [[0.80143684 0.19856316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.87200538301332]
Predicted rank: [0], ambiguousness: [[0.7934452  0.20655474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.50388371337556]
Predicted rank: [0], ambiguousness: [[0.69226265 0.30773732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.93487826550123]
Predicted rank: [0], ambiguousness: [[0.58261466 0.41738534]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [104.0819702159925, 103.93654659456755]
Predicted rank: [0], ambiguousness: [[0.58131504 0.41868496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [104.0819702159925, 104.10774311547608]
Predicted rank: [0], ambiguousness: [[0.82415575 0.17584427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [104.0819702159925, 104.32487104496411]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.67886882791106]
Predicted rank: [0], ambiguousness: [[0.7707086 0.2292914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 105.38007759284889]
Predicted rank: [0], ambiguousness: [[0.6496073  0.35039267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.73925322450776]
Predicted rank: [0], ambiguousness: [[0.5551325 0.4448675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 103.97450751924222]
Predicted rank: [0], ambiguousness: [[0.58220816 0.4177918 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [104.0819702159925, 104.35944583900447]
Predicted rank: [0], ambiguousness: [[0.5862533 0.4137467]]
Running local search 11
Switching 11 patient(s). Size of neighborhood: 167960
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.74327071829936]
Predicted rank: [0], ambiguousness: [[0.67128956 0.3287104 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.07779986607997]
Predicted rank: [0], ambiguousness: [[0.65635777 0.34364226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.36966537496104]
Predicted rank: [0], ambiguousness: [[0.78702146 0.21297854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.6165687306648]
Predicted rank: [0], ambiguousness: [[0.7772045  0.22279547]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.7400063063248]
Predicted rank: [0], ambiguousness: [[0.69411224 0.30588776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.83519247531171]
Predicted rank: [0], ambiguousness: [[0.7592928  0.24070722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 107.15616033695119]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.78116121754937]
Predicted rank: [0], ambiguousness: [[0.66077745 0.33922252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.19800436898024]
Predicted rank: [0], ambiguousness: [[0.7816868  0.21831325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.44673813930184]
Predicted rank: [0], ambiguousness: [[0.7805896  0.21941042]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.57089394053818]
Predicted rank: [0], ambiguousness: [[0.70457363 0.2954264 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.66639847684343]
Predicted rank: [0], ambiguousness: [[0.78127617 0.21872382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.98622675505375]
Predicted rank: [0], ambiguousness: [[0.54938054 0.4506195 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.68805532169972]
Predicted rank: [0], ambiguousness: [[0.6500492 0.3499508]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.97649217685569]
Predicted rank: [0], ambiguousness: [[0.7477062 0.2522938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.6657224911859]
Predicted rank: [0], ambiguousness: [[0.76891357 0.23108645]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.86087134250786]
Predicted rank: [0], ambiguousness: [[0.6839864 0.3160136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.9861271425119]
Predicted rank: [0], ambiguousness: [[0.75241524 0.24758475]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.21688678667266]
Predicted rank: [0], ambiguousness: [[0.52186024 0.47813976]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.91723874873506]
Predicted rank: [0], ambiguousness: [[0.8000595 0.1999405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.16649298562086]
Predicted rank: [0], ambiguousness: [[0.8307116  0.16928843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.28442785525678]
Predicted rank: [0], ambiguousness: [[0.8696525  0.13034746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.56564495899275]
Predicted rank: [0], ambiguousness: [[0.705119   0.29488102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.37184562940723]
Predicted rank: [0], ambiguousness: [[0.7552992 0.2447008]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.5289278394369]
Predicted rank: [0], ambiguousness: [[0.81159997 0.1884    ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.81529856965064]
Predicted rank: [0], ambiguousness: [[0.6870655  0.31293452]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.63369950141586]
Predicted rank: [0], ambiguousness: [[0.7049091 0.2950909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.92717643924034]
Predicted rank: [0], ambiguousness: [[0.6046913  0.39530867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.98543135840274]
Predicted rank: [0], ambiguousness: [[0.627463 0.372537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 107.01266602780959]
Predicted rank: [0], ambiguousness: [[0.7610888 0.2389112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.27018625234496]
Predicted rank: [0], ambiguousness: [[0.6497576 0.3502424]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.6263764710975]
Predicted rank: [0], ambiguousness: [[0.77045935 0.22954065]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.36013572874667]
Predicted rank: [0], ambiguousness: [[0.8004275 0.1995725]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.56119321210411]
Predicted rank: [0], ambiguousness: [[0.7288975 0.2711025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.68886352477323]
Predicted rank: [0], ambiguousness: [[0.79947084 0.20052917]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.91224267460106]
Predicted rank: [0], ambiguousness: [[0.57214636 0.42785364]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.74372460247187]
Predicted rank: [0], ambiguousness: [[0.8282746  0.17172542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.99474696081458]
Predicted rank: [0], ambiguousness: [[0.8513553  0.14864466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.1131336455865]
Predicted rank: [0], ambiguousness: [[0.90193176 0.09806824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.39299038338171]
Predicted rank: [0], ambiguousness: [[0.73353267 0.2664673 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.20177969664994]
Predicted rank: [0], ambiguousness: [[0.79314053 0.20685948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.35946698204563]
Predicted rank: [0], ambiguousness: [[0.8496547  0.15034531]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.64455708566011]
Predicted rank: [0], ambiguousness: [[0.7289995  0.27100047]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.46491464070382]
Predicted rank: [0], ambiguousness: [[0.76277834 0.23722167]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.75717624333498]
Predicted rank: [0], ambiguousness: [[0.65887165 0.34112838]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.81569893515564]
Predicted rank: [0], ambiguousness: [[0.6919259 0.3080741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.84304206539048]
Predicted rank: [0], ambiguousness: [[0.79338306 0.20661694]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.63235351360326]
Predicted rank: [0], ambiguousness: [[0.68928343 0.31071657]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.29765980420704]
Predicted rank: [0], ambiguousness: [[0.7698704  0.23012958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.2497593626527]
Predicted rank: [0], ambiguousness: [[0.79273045 0.20726958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.46246419413237]
Predicted rank: [0], ambiguousness: [[0.7132926 0.2867074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.59412258847564]
Predicted rank: [0], ambiguousness: [[0.7604754  0.23952459]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.80857573025963]
Predicted rank: [0], ambiguousness: [[0.52182734 0.47817266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.26182864433792]
Predicted rank: [0], ambiguousness: [[0.7895225 0.2104775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.69690595535121]
Predicted rank: [0], ambiguousness: [[0.82142943 0.17857058]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.86807479890803]
Predicted rank: [0], ambiguousness: [[0.87381315 0.12618682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.01801671190172]
Predicted rank: [0], ambiguousness: [[0.68562853 0.31437144]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.34115836339879]
Predicted rank: [0], ambiguousness: [[0.7767698 0.2232302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.55930364484378]
Predicted rank: [0], ambiguousness: [[0.82782805 0.17217194]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.741944121257]
Predicted rank: [0], ambiguousness: [[0.70659035 0.29340965]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.7318333115198]
Predicted rank: [0], ambiguousness: [[0.729216   0.27078402]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.92854645816715]
Predicted rank: [0], ambiguousness: [[0.62656224 0.37343773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.0134403370009]
Predicted rank: [0], ambiguousness: [[0.64652574 0.35347423]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.05100494574815]
Predicted rank: [0], ambiguousness: [[0.7821979 0.2178021]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.60395553899079]
Predicted rank: [0], ambiguousness: [[0.74398464 0.25601536]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.81584646677322]
Predicted rank: [0], ambiguousness: [[0.84040964 0.15959033]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.04405442127664]
Predicted rank: [0], ambiguousness: [[0.74333227 0.25666776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.04551149383897]
Predicted rank: [0], ambiguousness: [[0.8570558  0.14294425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.29561357162547]
Predicted rank: [0], ambiguousness: [[0.79793316 0.20206685]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.37645267792504]
Predicted rank: [0], ambiguousness: [[0.8341353  0.16586474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.41130792169339]
Predicted rank: [0], ambiguousness: [[0.88826823 0.11173179]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.24317050453351]
Predicted rank: [0], ambiguousness: [[0.76066834 0.23933165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.48989746382685]
Predicted rank: [0], ambiguousness: [[0.6844083  0.31559166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.62034608782895]
Predicted rank: [0], ambiguousness: [[0.753008   0.24699196]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.66005653453551]
Predicted rank: [0], ambiguousness: [[0.8731303  0.12686971]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.6914753599342]
Predicted rank: [0], ambiguousness: [[0.6339503 0.3660497]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.76574950214473]
Predicted rank: [0], ambiguousness: [[0.8342532  0.16574682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.79015713672845]
Predicted rank: [0], ambiguousness: [[0.6569878 0.3430122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.1649203208513]
Predicted rank: [0], ambiguousness: [[0.6587423  0.34125766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.73352255328626]
Predicted rank: [0], ambiguousness: [[0.74227124 0.25772876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.8166525309332]
Predicted rank: [0], ambiguousness: [[0.7748615  0.22513849]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.04041939576221]
Predicted rank: [0], ambiguousness: [[0.6912426  0.30875742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.1764040524277]
Predicted rank: [0], ambiguousness: [[0.7407352 0.2592648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.37874324332577]
Predicted rank: [0], ambiguousness: [[0.5142134  0.48578662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.88849489344986]
Predicted rank: [0], ambiguousness: [[0.80291575 0.19708425]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.34225862236292]
Predicted rank: [0], ambiguousness: [[0.82869995 0.17130002]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.51809885862222]
Predicted rank: [0], ambiguousness: [[0.88595223 0.11404777]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.6567018885126]
Predicted rank: [0], ambiguousness: [[0.7057928 0.2942072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.03131145310765]
Predicted rank: [0], ambiguousness: [[0.79569644 0.20430356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.2543466947493]
Predicted rank: [0], ambiguousness: [[0.8516429  0.14835708]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.42850093195867]
Predicted rank: [0], ambiguousness: [[0.73816425 0.26183575]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.43247658869431]
Predicted rank: [0], ambiguousness: [[0.76559854 0.23440148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.62127499840224]
Predicted rank: [0], ambiguousness: [[0.66933215 0.33066785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.70829703516412]
Predicted rank: [0], ambiguousness: [[0.7018316  0.29816842]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.74668951241236]
Predicted rank: [0], ambiguousness: [[0.80640304 0.19359697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.431294502876]
Predicted rank: [0], ambiguousness: [[0.76484954 0.23515044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.64422078610497]
Predicted rank: [0], ambiguousness: [[0.8627727  0.13722727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.87078404365147]
Predicted rank: [0], ambiguousness: [[0.77222687 0.22777312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.87561869752884]
Predicted rank: [0], ambiguousness: [[0.8723314 0.1276686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.12426357103692]
Predicted rank: [0], ambiguousness: [[0.8173961  0.18260388]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.20550478121044]
Predicted rank: [0], ambiguousness: [[0.85877645 0.14122355]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.2405118005933]
Predicted rank: [0], ambiguousness: [[0.89652216 0.10347781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.07494325821196]
Predicted rank: [0], ambiguousness: [[0.782576   0.21742396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.32026048149905]
Predicted rank: [0], ambiguousness: [[0.723477 0.276523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.45131625600574]
Predicted rank: [0], ambiguousness: [[0.7968874  0.20311263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.49118691103769]
Predicted rank: [0], ambiguousness: [[0.8886682  0.11133182]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.52309584009771]
Predicted rank: [0], ambiguousness: [[0.6936362  0.30636382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.59761859697977]
Predicted rank: [0], ambiguousness: [[0.8574733  0.14252667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.62222533300857]
Predicted rank: [0], ambiguousness: [[0.6935042 0.3064958]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.20262960898002]
Predicted rank: [0], ambiguousness: [[0.77540594 0.22459404]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.19526529938125]
Predicted rank: [0], ambiguousness: [[0.8045166 0.1954834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.40859733065398]
Predicted rank: [0], ambiguousness: [[0.7280462  0.27195382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.54051659100828]
Predicted rank: [0], ambiguousness: [[0.7882023  0.21179773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.75441296654967]
Predicted rank: [0], ambiguousness: [[0.57539684 0.42460316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.45495884638832]
Predicted rank: [0], ambiguousness: [[0.7952901 0.2047099]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.99404125686155]
Predicted rank: [0], ambiguousness: [[0.82390225 0.17609772]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.1840390643035]
Predicted rank: [0], ambiguousness: [[0.8660553 0.1339447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.29657330612866]
Predicted rank: [0], ambiguousness: [[0.65478194 0.3452181 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.90950618289705]
Predicted rank: [0], ambiguousness: [[0.7827907 0.2172093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.14168094881668]
Predicted rank: [0], ambiguousness: [[0.8205153 0.1794847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.30492156348149]
Predicted rank: [0], ambiguousness: [[0.69703114 0.30296883]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.33107280078978]
Predicted rank: [0], ambiguousness: [[0.7232764  0.27672365]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.51012910911498]
Predicted rank: [0], ambiguousness: [[0.6287198 0.3712802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.600993418985]
Predicted rank: [0], ambiguousness: [[0.61599636 0.38400367]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.64064640458554]
Predicted rank: [0], ambiguousness: [[0.7962239  0.20377609]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.80538200312007]
Predicted rank: [0], ambiguousness: [[0.71052885 0.28947118]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.12910200080339]
Predicted rank: [0], ambiguousness: [[0.805365   0.19463496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.19534496416425]
Predicted rank: [0], ambiguousness: [[0.7162179  0.28378212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.53913928067902]
Predicted rank: [0], ambiguousness: [[0.8351009  0.16489908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.64771006094821]
Predicted rank: [0], ambiguousness: [[0.77483964 0.22516038]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.77809807714411]
Predicted rank: [0], ambiguousness: [[0.81421584 0.18578418]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.83110713938014]
Predicted rank: [0], ambiguousness: [[0.87761736 0.12238263]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.18055479592105]
Predicted rank: [0], ambiguousness: [[0.7635059  0.23649414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.3117152670819]
Predicted rank: [0], ambiguousness: [[0.694449 0.305551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.50593969164224]
Predicted rank: [0], ambiguousness: [[0.76162624 0.23837373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.56105953405225]
Predicted rank: [0], ambiguousness: [[0.8818732  0.11812682]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.6432836297043]
Predicted rank: [0], ambiguousness: [[0.644763   0.35523698]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.74148589245237]
Predicted rank: [0], ambiguousness: [[0.8452002  0.15479983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.78682572882151]
Predicted rank: [0], ambiguousness: [[0.6674769 0.3325231]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.45031225553065]
Predicted rank: [0], ambiguousness: [[0.7294512 0.2705488]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.62879047883281]
Predicted rank: [0], ambiguousness: [[0.6549444 0.3450556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.81909785333217]
Predicted rank: [0], ambiguousness: [[0.7777469  0.22225307]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.87302879668736]
Predicted rank: [0], ambiguousness: [[0.8997788  0.10022121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.02810491150025]
Predicted rank: [0], ambiguousness: [[0.819023   0.18097702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.12153984748656]
Predicted rank: [0], ambiguousness: [[0.92421305 0.07578696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.16561466777974]
Predicted rank: [0], ambiguousness: [[0.8463987  0.15360127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.2050288215954]
Predicted rank: [0], ambiguousness: [[0.66004187 0.33995813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.31052412387051]
Predicted rank: [0], ambiguousness: [[0.8758875  0.12411246]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.40529956838846]
Predicted rank: [0], ambiguousness: [[0.78180546 0.21819453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.46061522678852]
Predicted rank: [0], ambiguousness: [[0.6504667  0.34953332]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.55271511362619]
Predicted rank: [0], ambiguousness: [[0.7644784  0.23552163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.71577715899403]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.94080531067084]
Predicted rank: [0], ambiguousness: [[0.7124691  0.28753093]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.0773140692902]
Predicted rank: [0], ambiguousness: [[0.77500594 0.22499403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.27853410528633]
Predicted rank: [0], ambiguousness: [[0.54769146 0.45230854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.83042513677316]
Predicted rank: [0], ambiguousness: [[0.7880764  0.21192361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.42128625987715]
Predicted rank: [0], ambiguousness: [[0.8107654  0.18923461]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.62190805081832]
Predicted rank: [0], ambiguousness: [[0.85551155 0.14448847]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.71149260136264]
Predicted rank: [0], ambiguousness: [[0.63751864 0.3624814 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.4709693356753]
Predicted rank: [0], ambiguousness: [[0.775261 0.224739]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.7122546314762]
Predicted rank: [0], ambiguousness: [[0.8139826  0.18601741]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.8613649199286]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.91218874761658]
Predicted rank: [0], ambiguousness: [[0.7144361 0.2855639]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.078199856638]
Predicted rank: [0], ambiguousness: [[0.62139916 0.37860087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.17298759719046]
Predicted rank: [0], ambiguousness: [[0.60858095 0.39141908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.21409050333506]
Predicted rank: [0], ambiguousness: [[0.7778878  0.22211221]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.42513961072817]
Predicted rank: [0], ambiguousness: [[0.74504817 0.2549518 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.75915270581095]
Predicted rank: [0], ambiguousness: [[0.84012437 0.15987563]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.81108842664622]
Predicted rank: [0], ambiguousness: [[0.74698627 0.2530137 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.18748799329273]
Predicted rank: [0], ambiguousness: [[0.85992324 0.14007677]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.2838233320645]
Predicted rank: [0], ambiguousness: [[0.79583764 0.20416237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.41857980836673]
Predicted rank: [0], ambiguousness: [[0.841154   0.15884604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.47317063955934]
Predicted rank: [0], ambiguousness: [[0.8793587  0.12064129]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.87435221250057]
Predicted rank: [0], ambiguousness: [[0.7954576  0.20454238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.9960617961409]
Predicted rank: [0], ambiguousness: [[0.73261464 0.26738533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.19537398474534]
Predicted rank: [0], ambiguousness: [[0.80425555 0.19574447]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.2517347997628]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.33822656926577]
Predicted rank: [0], ambiguousness: [[0.70335567 0.29664436]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.4383390831368]
Predicted rank: [0], ambiguousness: [[0.8588954  0.14110455]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.48534218309672]
Predicted rank: [0], ambiguousness: [[0.7032261  0.29677394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.28348575085433]
Predicted rank: [0], ambiguousness: [[0.76458526 0.23541471]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.46011425509047]
Predicted rank: [0], ambiguousness: [[0.6958836  0.30411643]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.65151520920654]
Predicted rank: [0], ambiguousness: [[0.8181814 0.1818186]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.70570237206249]
Predicted rank: [0], ambiguousness: [[0.9066477  0.09335233]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.8623691664267]
Predicted rank: [0], ambiguousness: [[0.84744257 0.15255742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.95616261468399]
Predicted rank: [0], ambiguousness: [[0.92740077 0.07259923]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.0005552132236]
Predicted rank: [0], ambiguousness: [[0.8593923  0.14060773]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.0409730939014]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.14685763738456]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.24216762608377]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.29811385783894]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.34924032889651]
Predicted rank: [0], ambiguousness: [[0.8072537  0.19274625]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.90258615482455]
Predicted rank: [0], ambiguousness: [[0.83702755 0.16297242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.09464031810771]
Predicted rank: [0], ambiguousness: [[0.8854736  0.11452641]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.20360046282508]
Predicted rank: [0], ambiguousness: [[0.70888495 0.29111505]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.86066106359903]
Predicted rank: [0], ambiguousness: [[0.8048767  0.19512333]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.09343140220571]
Predicted rank: [0], ambiguousness: [[0.8507415  0.14925852]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.25600166096504]
Predicted rank: [0], ambiguousness: [[0.74058247 0.25941756]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.28341710496792]
Predicted rank: [0], ambiguousness: [[0.76147175 0.23852827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.46186734778695]
Predicted rank: [0], ambiguousness: [[0.6654359  0.33456412]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.5529843332794]
Predicted rank: [0], ambiguousness: [[0.68436813 0.3156319 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.59272208123295]
Predicted rank: [0], ambiguousness: [[0.8097887 0.1902113]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.94294817931328]
Predicted rank: [0], ambiguousness: [[0.7300286 0.2699714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.31637014486962]
Predicted rank: [0], ambiguousness: [[0.8071273  0.19287269]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.33004199089018]
Predicted rank: [0], ambiguousness: [[0.7066884  0.29331157]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.82991833971238]
Predicted rank: [0], ambiguousness: [[0.8369872  0.16301282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.89775207510722]
Predicted rank: [0], ambiguousness: [[0.7731564  0.22684361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.04654403504466]
Predicted rank: [0], ambiguousness: [[0.7775993  0.22240074]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.10572420913257]
Predicted rank: [0], ambiguousness: [[0.8688424  0.13115759]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.74813440614983]
Predicted rank: [0], ambiguousness: [[0.7796092 0.2203908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.85728357985093]
Predicted rank: [0], ambiguousness: [[0.6962475  0.30375248]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.06667736951454]
Predicted rank: [0], ambiguousness: [[0.73685014 0.26314983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.12506153089316]
Predicted rank: [0], ambiguousness: [[0.88339156 0.11660844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.22114729052464]
Predicted rank: [0], ambiguousness: [[0.5722167 0.4277833]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.32421275947559]
Predicted rank: [0], ambiguousness: [[0.8540857  0.14591435]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.37451188121727]
Predicted rank: [0], ambiguousness: [[0.6518857 0.3481143]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.59779447200846]
Predicted rank: [0], ambiguousness: [[0.7078078 0.2921922]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.59296309592301]
Predicted rank: [0], ambiguousness: [[0.6230512  0.37694877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.9017096602168]
Predicted rank: [0], ambiguousness: [[0.7392317  0.26076832]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.98496337702764]
Predicted rank: [0], ambiguousness: [[0.8830851  0.11691494]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.29991572962228]
Predicted rank: [0], ambiguousness: [[0.79760903 0.20239097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.436900849138]
Predicted rank: [0], ambiguousness: [[0.9111876 0.0888124]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.52177970141076]
Predicted rank: [0], ambiguousness: [[0.8275419  0.17245813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.95735037789035]
Predicted rank: [0], ambiguousness: [[0.6703205  0.32967946]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.10222095076185]
Predicted rank: [0], ambiguousness: [[0.87715226 0.12284774]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.25502365358429]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.37486587414816]
Predicted rank: [0], ambiguousness: [[0.6608861 0.3391139]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.28964982565078]
Predicted rank: [0], ambiguousness: [[0.6293613 0.3706387]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.4303493290912]
Predicted rank: [0], ambiguousness: [[0.85638416 0.14361581]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.58101573367152]
Predicted rank: [0], ambiguousness: [[0.81859434 0.1814057 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.77758703690657]
Predicted rank: [0], ambiguousness: [[0.8230063  0.17699371]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.94321730546753]
Predicted rank: [0], ambiguousness: [[0.66326773 0.3367323 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.63248598336685]
Predicted rank: [0], ambiguousness: [[0.7920686  0.20793138]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.25123521923769]
Predicted rank: [0], ambiguousness: [[0.81715274 0.18284729]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.45589535785999]
Predicted rank: [0], ambiguousness: [[0.87059337 0.12940662]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.53845779211456]
Predicted rank: [0], ambiguousness: [[0.6785003 0.3214997]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.38454834124619]
Predicted rank: [0], ambiguousness: [[0.77942705 0.22057295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.62701299185117]
Predicted rank: [0], ambiguousness: [[0.83001053 0.16998947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.77480077970414]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.82812180849217]
Predicted rank: [0], ambiguousness: [[0.7322442 0.2677558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.99293761255566]
Predicted rank: [0], ambiguousness: [[0.629227   0.37077302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.08822566318882]
Predicted rank: [0], ambiguousness: [[0.64912784 0.35087216]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.12949614893304]
Predicted rank: [0], ambiguousness: [[0.77663684 0.22336318]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.30172424250276]
Predicted rank: [0], ambiguousness: [[0.70549905 0.29450098]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.70110363361627]
Predicted rank: [0], ambiguousness: [[0.78756446 0.21243556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.68409472011726]
Predicted rank: [0], ambiguousness: [[0.6903941 0.3096059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.2657934689485]
Predicted rank: [0], ambiguousness: [[0.8131421  0.18685786]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.30878268994758]
Predicted rank: [0], ambiguousness: [[0.75111175 0.24888824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.4677615559679]
Predicted rank: [0], ambiguousness: [[0.7558501  0.24414991]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.53046724537961]
Predicted rank: [0], ambiguousness: [[0.8488154  0.15118463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.32049775616726]
Predicted rank: [0], ambiguousness: [[0.7580918  0.24190822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.41380636570449]
Predicted rank: [0], ambiguousness: [[0.67963606 0.32036394]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.63285764902122]
Predicted rank: [0], ambiguousness: [[0.7215712 0.2784288]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.69344957408023]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.79782296442418]
Predicted rank: [0], ambiguousness: [[0.55317545 0.44682458]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.90424728444661]
Predicted rank: [0], ambiguousness: [[0.8383317 0.1616683]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.95770644434313]
Predicted rank: [0], ambiguousness: [[0.62391376 0.37608624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.22774708714294]
Predicted rank: [0], ambiguousness: [[0.7297797  0.27022025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.20665356187861]
Predicted rank: [0], ambiguousness: [[0.6554973 0.3445027]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.52635680500074]
Predicted rank: [0], ambiguousness: [[0.77683467 0.22316533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.61226456631974]
Predicted rank: [0], ambiguousness: [[0.889819   0.11018097]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.94408634953484]
Predicted rank: [0], ambiguousness: [[0.82203597 0.17796405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.08486879536841]
Predicted rank: [0], ambiguousness: [[0.91395825 0.08604177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.17335629018416]
Predicted rank: [0], ambiguousness: [[0.83558965 0.16441037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.65111357717001]
Predicted rank: [0], ambiguousness: [[0.7031059  0.29689407]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.79911683763738]
Predicted rank: [0], ambiguousness: [[0.88723016 0.11276983]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.95652695292128]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.08174901048965]
Predicted rank: [0], ambiguousness: [[0.6905611  0.30943888]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.13502872027821]
Predicted rank: [0], ambiguousness: [[0.6641793 0.3358207]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.27637191802049]
Predicted rank: [0], ambiguousness: [[0.8679092 0.1320908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.42803940477668]
Predicted rank: [0], ambiguousness: [[0.8357048  0.16429523]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.62647993970609]
Predicted rank: [0], ambiguousness: [[0.83341926 0.16658072]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.79377545552136]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.84466160864199]
Predicted rank: [0], ambiguousness: [[0.7295849  0.27041513]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.22415851230767]
Predicted rank: [0], ambiguousness: [[0.81976163 0.18023834]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.23226829153553]
Predicted rank: [0], ambiguousness: [[0.72890913 0.27109084]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.75201096787974]
Predicted rank: [0], ambiguousness: [[0.84771395 0.15228604]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.81593385484321]
Predicted rank: [0], ambiguousness: [[0.7856937  0.21430628]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.96678142306297]
Predicted rank: [0], ambiguousness: [[0.82360387 0.17639615]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.02662934853059]
Predicted rank: [0], ambiguousness: [[0.88068223 0.11931776]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.71389720431128]
Predicted rank: [0], ambiguousness: [[0.7902552  0.20974484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.82227780387194]
Predicted rank: [0], ambiguousness: [[0.7199518 0.2800482]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.03233355625511]
Predicted rank: [0], ambiguousness: [[0.783272 0.216728]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.09084761727162]
Predicted rank: [0], ambiguousness: [[0.89080995 0.10919006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.18739012443677]
Predicted rank: [0], ambiguousness: [[0.67245686 0.3275431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.29065887503096]
Predicted rank: [0], ambiguousness: [[0.85645974 0.14354023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.34117556549785]
Predicted rank: [0], ambiguousness: [[0.69423974 0.30576023]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.72658657307514]
Predicted rank: [0], ambiguousness: [[0.71069336 0.28930664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.66011508912294]
Predicted rank: [0], ambiguousness: [[0.6141653 0.3858347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.02382722894498]
Predicted rank: [0], ambiguousness: [[0.7034684  0.29653162]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.11881213684555]
Predicted rank: [0], ambiguousness: [[0.88339156 0.11660844]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.53650810859733]
Predicted rank: [0], ambiguousness: [[0.71628594 0.28371403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.68866494789333]
Predicted rank: [0], ambiguousness: [[0.91435397 0.085646  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.78942021814808]
Predicted rank: [0], ambiguousness: [[0.7955548  0.20444517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.50190805248153]
Predicted rank: [0], ambiguousness: [[0.6483141 0.3516859]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.65539969449165]
Predicted rank: [0], ambiguousness: [[0.8832548  0.11674518]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.82240530130892]
Predicted rank: [0], ambiguousness: [[0.76972544 0.23027454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.95925817604123]
Predicted rank: [0], ambiguousness: [[0.5934855  0.40651453]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.1343097069408]
Predicted rank: [0], ambiguousness: [[0.58540416 0.41459587]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.34798287105968]
Predicted rank: [0], ambiguousness: [[0.8321718  0.16782822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.60709209432406]
Predicted rank: [0], ambiguousness: [[0.7895763 0.2104237]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.99354941992851]
Predicted rank: [0], ambiguousness: [[0.79451686 0.20548315]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.64978493458747]
Predicted rank: [0], ambiguousness: [[0.66326773 0.3367323 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.9971879017867]
Predicted rank: [0], ambiguousness: [[0.6219264  0.37807357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.15888088775993]
Predicted rank: [0], ambiguousness: [[0.7104753  0.28952464]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.56849626398152]
Predicted rank: [0], ambiguousness: [[0.80532426 0.19467574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.54244276970621]
Predicted rank: [0], ambiguousness: [[0.7089493 0.2910507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.1577616645355]
Predicted rank: [0], ambiguousness: [[0.82887584 0.17112415]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.19454748644112]
Predicted rank: [0], ambiguousness: [[0.7606187  0.23938134]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.35693326176533]
Predicted rank: [0], ambiguousness: [[0.8018458 0.1981542]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.42073534874675]
Predicted rank: [0], ambiguousness: [[0.85961163 0.1403884 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.28885550053691]
Predicted rank: [0], ambiguousness: [[0.76345885 0.23654114]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.38149846182603]
Predicted rank: [0], ambiguousness: [[0.6868666  0.31313342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.60133644096669]
Predicted rank: [0], ambiguousness: [[0.75512314 0.24487688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.66206613794874]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.76689859406619]
Predicted rank: [0], ambiguousness: [[0.63659286 0.36340714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.87354339612457]
Predicted rank: [0], ambiguousness: [[0.8297318  0.17026815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.92726193484387]
Predicted rank: [0], ambiguousness: [[0.64966154 0.35033843]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.13714429463349]
Predicted rank: [0], ambiguousness: [[0.68516463 0.31483537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.03701688991366]
Predicted rank: [0], ambiguousness: [[0.5956718  0.40432826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.42756503559626]
Predicted rank: [0], ambiguousness: [[0.6870743  0.31292567]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.52857997168653]
Predicted rank: [0], ambiguousness: [[0.8703213  0.12967871]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.99323506021618]
Predicted rank: [0], ambiguousness: [[0.69092405 0.30907598]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.15353743947733]
Predicted rank: [0], ambiguousness: [[0.90048033 0.09951966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.2624905760178]
Predicted rank: [0], ambiguousness: [[0.7673339  0.23266608]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.10192143544074]
Predicted rank: [0], ambiguousness: [[0.63047254 0.36952743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.2608349743237]
Predicted rank: [0], ambiguousness: [[0.8701715  0.12982853]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.43628601652273]
Predicted rank: [0], ambiguousness: [[0.7475555  0.25244454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.58293107836393]
Predicted rank: [0], ambiguousness: [[0.5639598  0.43604022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.7873042868417]
Predicted rank: [0], ambiguousness: [[0.6218705  0.37812948]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.00721856216649]
Predicted rank: [0], ambiguousness: [[0.8452888  0.15471119]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.27588119372817]
Predicted rank: [0], ambiguousness: [[0.8087845  0.19121553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.68106450090605]
Predicted rank: [0], ambiguousness: [[0.8062113 0.1937887]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.3854904572479]
Predicted rank: [0], ambiguousness: [[0.6780466  0.32195342]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.880595164616]
Predicted rank: [0], ambiguousness: [[0.6375282  0.36247182]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.66087845635784]
Predicted rank: [0], ambiguousness: [[0.7094811 0.2905189]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.58811822719596]
Predicted rank: [0], ambiguousness: [[0.6249527 0.3750473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.95836520930348]
Predicted rank: [0], ambiguousness: [[0.74079084 0.25920913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.05468040841535]
Predicted rank: [0], ambiguousness: [[0.8839192  0.11608081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.48658726144387]
Predicted rank: [0], ambiguousness: [[0.7917067 0.2082933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.64033498253082]
Predicted rank: [0], ambiguousness: [[0.9082164  0.09178359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.7428112996535]
Predicted rank: [0], ambiguousness: [[0.822318   0.17768198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.49979050684665]
Predicted rank: [0], ambiguousness: [[0.6851718  0.31482822]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.65359111969931]
Predicted rank: [0], ambiguousness: [[0.8842945  0.11570548]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.82113633440878]
Predicted rank: [0], ambiguousness: [[0.800653 0.199347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.95845463777584]
Predicted rank: [0], ambiguousness: [[0.67595685 0.32404312]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.18425987686157]
Predicted rank: [0], ambiguousness: [[0.5592062 0.4407938]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.42812075853111]
Predicted rank: [0], ambiguousness: [[0.8388809  0.16111912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.73901144214712]
Predicted rank: [0], ambiguousness: [[0.7681159  0.23188414]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.24253129358448]
Predicted rank: [0], ambiguousness: [[0.71427274 0.28572723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.21542407013408]
Predicted rank: [0], ambiguousness: [[0.65324455 0.34675545]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.77022426215981]
Predicted rank: [0], ambiguousness: [[0.5754676  0.42453244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.31343009570824]
Predicted rank: [0], ambiguousness: [[0.69149125 0.30850872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.21727804739209]
Predicted rank: [0], ambiguousness: [[0.60369235 0.39630765]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.6077460120223]
Predicted rank: [0], ambiguousness: [[0.7231885  0.27681145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.70848440648955]
Predicted rank: [0], ambiguousness: [[0.8695036 0.1304964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.17805201030428]
Predicted rank: [0], ambiguousness: [[0.7765189  0.22348112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.33760640351741]
Predicted rank: [0], ambiguousness: [[0.89646477 0.10353522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.44607553379066]
Predicted rank: [0], ambiguousness: [[0.8019663  0.19803368]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.31120557973894]
Predicted rank: [0], ambiguousness: [[0.6520335 0.3479665]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.46822922472099]
Predicted rank: [0], ambiguousness: [[0.86298853 0.13701145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.64094685989974]
Predicted rank: [0], ambiguousness: [[0.7679863  0.23201372]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.78416754777177]
Predicted rank: [0], ambiguousness: [[0.6322421  0.36775792]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.8761937455734]
Predicted rank: [0], ambiguousness: [[0.5423006 0.4576994]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.12912881350914]
Predicted rank: [0], ambiguousness: [[0.8231504  0.17684962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.45508029318759]
Predicted rank: [0], ambiguousness: [[0.7475555  0.25244454]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.99161557658579]
Predicted rank: [0], ambiguousness: [[0.69085974 0.30914026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.05679759102894]
Predicted rank: [0], ambiguousness: [[0.6274391  0.37256092]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.65707898928517]
Predicted rank: [0], ambiguousness: [[0.5939146  0.40608537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.30307573215882]
Predicted rank: [0], ambiguousness: [[0.5741414  0.42585865]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.54724692644064]
Predicted rank: [0], ambiguousness: [[0.8256157  0.17438431]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.85936996249022]
Predicted rank: [0], ambiguousness: [[0.7817926  0.21820743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.3686188483119]
Predicted rank: [0], ambiguousness: [[0.7793465  0.22065347]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.36505132324288]
Predicted rank: [0], ambiguousness: [[0.6663146 0.3336854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 100.97588216404625]
Predicted rank: [0], ambiguousness: [[0.56426525 0.43573478]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.06349653297285]
Predicted rank: [0], ambiguousness: [[0.60382855 0.39617142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.29712486980425]
Predicted rank: [0], ambiguousness: [[0.8250434  0.17495663]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.59377248665334]
Predicted rank: [0], ambiguousness: [[0.78462017 0.21537982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.07512297275291]
Predicted rank: [0], ambiguousness: [[0.77512676 0.22487323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.01382450606796]
Predicted rank: [0], ambiguousness: [[0.6566303 0.3433697]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.76788220703713]
Predicted rank: [0], ambiguousness: [[0.57306623 0.42693377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.96187104826649]
Predicted rank: [0], ambiguousness: [[0.55107594 0.4489241 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.78114227632301]
Predicted rank: [0], ambiguousness: [[0.6434675 0.3565325]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.19798542775385]
Predicted rank: [0], ambiguousness: [[0.7664037  0.23359631]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 107.44671919807547]
Predicted rank: [0], ambiguousness: [[0.7672398  0.23276018]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.5708749993118]
Predicted rank: [0], ambiguousness: [[0.68844473 0.31155524]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.66637953561704]
Predicted rank: [0], ambiguousness: [[0.7661705 0.2338295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.98620781382738]
Predicted rank: [0], ambiguousness: [[0.5805199  0.41948006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.68803638047336]
Predicted rank: [0], ambiguousness: [[0.63249624 0.36750373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.97647323562933]
Predicted rank: [0], ambiguousness: [[0.73086333 0.26913667]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.66570354995955]
Predicted rank: [0], ambiguousness: [[0.7550763  0.24492373]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.86085240128148]
Predicted rank: [0], ambiguousness: [[0.6672644 0.3327356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.98610820128555]
Predicted rank: [0], ambiguousness: [[0.73598987 0.26401013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.2168678454463]
Predicted rank: [0], ambiguousness: [[0.55335534 0.4466447 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.9172198075087]
Predicted rank: [0], ambiguousness: [[0.78757197 0.21242805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.16647404439449]
Predicted rank: [0], ambiguousness: [[0.8234509  0.17654908]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.2844089140304]
Predicted rank: [0], ambiguousness: [[0.8725176  0.12748238]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.56562601776638]
Predicted rank: [0], ambiguousness: [[0.7164055  0.28359446]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.37182668818087]
Predicted rank: [0], ambiguousness: [[0.7409213  0.25907868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.52890889821055]
Predicted rank: [0], ambiguousness: [[0.7980472 0.2019528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.81527962842428]
Predicted rank: [0], ambiguousness: [[0.71364963 0.2863504 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.6336805601895]
Predicted rank: [0], ambiguousness: [[0.68879044 0.31120956]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.92715749801398]
Predicted rank: [0], ambiguousness: [[0.6345511 0.3654489]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.98541241717635]
Predicted rank: [0], ambiguousness: [[0.6543232 0.3456768]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 107.0126470865832]
Predicted rank: [0], ambiguousness: [[0.7748944  0.22510558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.26956166813139]
Predicted rank: [0], ambiguousness: [[0.5984818  0.40151826]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.62575188688392]
Predicted rank: [0], ambiguousness: [[0.7435262  0.25647378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.35951114453309]
Predicted rank: [0], ambiguousness: [[0.7779109 0.2220891]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.56056862789052]
Predicted rank: [0], ambiguousness: [[0.71261275 0.28738722]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.68823894055964]
Predicted rank: [0], ambiguousness: [[0.7786035  0.22139652]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.91161809038748]
Predicted rank: [0], ambiguousness: [[0.60182333 0.39817664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 106.74310001825829]
Predicted rank: [0], ambiguousness: [[0.8081467  0.19185327]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.994122376601]
Predicted rank: [0], ambiguousness: [[0.8442089  0.15579112]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.1125090613729]
Predicted rank: [0], ambiguousness: [[0.87885267 0.12114731]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.39236579916813]
Predicted rank: [0], ambiguousness: [[0.7433095 0.2566905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 107.20115511243634]
Predicted rank: [0], ambiguousness: [[0.7795477  0.22045232]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 107.35884239783205]
Predicted rank: [0], ambiguousness: [[0.8329181  0.16708188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.64393250144653]
Predicted rank: [0], ambiguousness: [[0.7525031  0.24749689]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.46429005649023]
Predicted rank: [0], ambiguousness: [[0.73740745 0.26259252]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.75655165912139]
Predicted rank: [0], ambiguousness: [[0.6974598  0.30254015]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.81507435094206]
Predicted rank: [0], ambiguousness: [[0.7194196 0.2805804]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.8424174811769]
Predicted rank: [0], ambiguousness: [[0.80918396 0.19081603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.63172892938965]
Predicted rank: [0], ambiguousness: [[0.67885125 0.32114872]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.29703521999346]
Predicted rank: [0], ambiguousness: [[0.7436099  0.25639006]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.24913477843913]
Predicted rank: [0], ambiguousness: [[0.77026254 0.22973746]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.46183960991877]
Predicted rank: [0], ambiguousness: [[0.71456563 0.2854344 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.59349800426205]
Predicted rank: [0], ambiguousness: [[0.7376152  0.26238474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.80795114604604]
Predicted rank: [0], ambiguousness: [[0.5531943 0.4468057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.26120406012433]
Predicted rank: [0], ambiguousness: [[0.7813885  0.21861146]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.69628137113762]
Predicted rank: [0], ambiguousness: [[0.8260427  0.17395727]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.86745021469444]
Predicted rank: [0], ambiguousness: [[0.8563132 0.1436868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.01739212768814]
Predicted rank: [0], ambiguousness: [[0.7145413  0.28545868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.3405337791852]
Predicted rank: [0], ambiguousness: [[0.7778488  0.22215122]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.5586790606302]
Predicted rank: [0], ambiguousness: [[0.8223031  0.17769688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.74131953704344]
Predicted rank: [0], ambiguousness: [[0.74809873 0.2519013 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.73120872730621]
Predicted rank: [0], ambiguousness: [[0.7195791  0.28042087]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.92792187395355]
Predicted rank: [0], ambiguousness: [[0.6860292  0.31397083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.0128157527873]
Predicted rank: [0], ambiguousness: [[0.69495976 0.3050402 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.05038036153456]
Predicted rank: [0], ambiguousness: [[0.8122901  0.18770993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.6033309547772]
Predicted rank: [0], ambiguousness: [[0.7451701  0.25482988]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.81522188255964]
Predicted rank: [0], ambiguousness: [[0.8352081 0.1647919]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 106.04342983706306]
Predicted rank: [0], ambiguousness: [[0.78125197 0.21874805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.04488690962538]
Predicted rank: [0], ambiguousness: [[0.8542481  0.14575188]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.29498898741188]
Predicted rank: [0], ambiguousness: [[0.8323467  0.16765335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.37582809371145]
Predicted rank: [0], ambiguousness: [[0.8405425  0.15945752]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.41068333747981]
Predicted rank: [0], ambiguousness: [[0.8991465  0.10085353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.24254592031993]
Predicted rank: [0], ambiguousness: [[0.7517698 0.2482302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.48927287961325]
Predicted rank: [0], ambiguousness: [[0.7385081 0.2614919]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.61972150361538]
Predicted rank: [0], ambiguousness: [[0.79155564 0.20844434]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.65943195032193]
Predicted rank: [0], ambiguousness: [[0.8923874  0.10761262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.69085077572062]
Predicted rank: [0], ambiguousness: [[0.68109703 0.318903  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.76512491793113]
Predicted rank: [0], ambiguousness: [[0.8649493  0.13505071]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.78953255251488]
Predicted rank: [0], ambiguousness: [[0.69890517 0.30109483]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.1620718934056]
Predicted rank: [0], ambiguousness: [[0.625641 0.374359]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.73067412584055]
Predicted rank: [0], ambiguousness: [[0.7114794  0.28852057]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.81380410348748]
Predicted rank: [0], ambiguousness: [[0.7487272  0.25127283]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.0375709683165]
Predicted rank: [0], ambiguousness: [[0.659665   0.34033504]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.17355562498199]
Predicted rank: [0], ambiguousness: [[0.71211123 0.28788877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.37589481588006]
Predicted rank: [0], ambiguousness: [[0.52796125 0.47203875]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.88564646600416]
Predicted rank: [0], ambiguousness: [[0.77910966 0.22089036]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.33941019491722]
Predicted rank: [0], ambiguousness: [[0.81120354 0.18879648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.51525043117653]
Predicted rank: [0], ambiguousness: [[0.8705592  0.12944077]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.65385346106689]
Predicted rank: [0], ambiguousness: [[0.7023046  0.29769537]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.02846302566195]
Predicted rank: [0], ambiguousness: [[0.7712667  0.22873327]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.25149826730359]
Predicted rank: [0], ambiguousness: [[0.83249474 0.1675053 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.42565250451295]
Predicted rank: [0], ambiguousness: [[0.74867195 0.25132805]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.42962816124862]
Predicted rank: [0], ambiguousness: [[0.7387514  0.26124856]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.61842657095653]
Predicted rank: [0], ambiguousness: [[0.68140996 0.31859007]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.70544860771841]
Predicted rank: [0], ambiguousness: [[0.71323085 0.28676918]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.74384108496665]
Predicted rank: [0], ambiguousness: [[0.81839186 0.18160813]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 106.4284460754303]
Predicted rank: [0], ambiguousness: [[0.73794603 0.262054  ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 106.64137235865925]
Predicted rank: [0], ambiguousness: [[0.8447993  0.15520075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 105.86793561620576]
Predicted rank: [0], ambiguousness: [[0.7817718  0.21822824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.87277027008314]
Predicted rank: [0], ambiguousness: [[0.85853064 0.14146936]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.12141514359122]
Predicted rank: [0], ambiguousness: [[0.8203468  0.17965324]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.20265635376475]
Predicted rank: [0], ambiguousness: [[0.85809016 0.14190982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.2376633731476]
Predicted rank: [0], ambiguousness: [[0.897156   0.10284397]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 107.07209483076625]
Predicted rank: [0], ambiguousness: [[0.75705636 0.24294361]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 106.31741205405335]
Predicted rank: [0], ambiguousness: [[0.734362   0.26563802]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 106.44846782856003]
Predicted rank: [0], ambiguousness: [[0.8056588  0.19434117]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 106.488338483592]
Predicted rank: [0], ambiguousness: [[0.8962182 0.1037818]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.520247412652]
Predicted rank: [0], ambiguousness: [[0.70521724 0.2947828 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.59477016953407]
Predicted rank: [0], ambiguousness: [[0.8668219  0.13317811]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.61937690556287]
Predicted rank: [0], ambiguousness: [[0.70508814 0.2949119 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.19978118153432]
Predicted rank: [0], ambiguousness: [[0.7472247  0.25277528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 105.19241687193554]
Predicted rank: [0], ambiguousness: [[0.780851   0.21914898]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 105.40574890320826]
Predicted rank: [0], ambiguousness: [[0.69859135 0.30140868]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.53766816356257]
Predicted rank: [0], ambiguousness: [[0.7631431  0.23685686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.75156453910395]
Predicted rank: [0], ambiguousness: [[0.5887978 0.4112022]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.45211041894261]
Predicted rank: [0], ambiguousness: [[0.7708258 0.2291742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.99119282941584]
Predicted rank: [0], ambiguousness: [[0.8060305  0.19396947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.18119063685782]
Predicted rank: [0], ambiguousness: [[0.8484362  0.15156382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.29372487868297]
Predicted rank: [0], ambiguousness: [[0.650988 0.349012]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.90665775545135]
Predicted rank: [0], ambiguousness: [[0.75728846 0.24271154]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.13883252137097]
Predicted rank: [0], ambiguousness: [[0.798301   0.20169899]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.30207313603577]
Predicted rank: [0], ambiguousness: [[0.70853776 0.29146224]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.32822437334409]
Predicted rank: [0], ambiguousness: [[0.69352233 0.30647764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.50728068166927]
Predicted rank: [0], ambiguousness: [[0.6414864  0.35851356]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.5981449915393]
Predicted rank: [0], ambiguousness: [[0.62894225 0.37105775]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.63779797713985]
Predicted rank: [0], ambiguousness: [[0.8086936  0.19130641]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.80253357567437]
Predicted rank: [0], ambiguousness: [[0.68001056 0.31998944]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.12625357335767]
Predicted rank: [0], ambiguousness: [[0.78177434 0.21822566]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.19249653671855]
Predicted rank: [0], ambiguousness: [[0.72728086 0.27271912]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.53629085323331]
Predicted rank: [0], ambiguousness: [[0.81811476 0.18188527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.6448616335025]
Predicted rank: [0], ambiguousness: [[0.77829146 0.22170855]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.7752496496984]
Predicted rank: [0], ambiguousness: [[0.8133601  0.18663993]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.82825871193444]
Predicted rank: [0], ambiguousness: [[0.87835133 0.12164867]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.17770636847536]
Predicted rank: [0], ambiguousness: [[0.7365016  0.26349846]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.30886683963618]
Predicted rank: [0], ambiguousness: [[0.7060123 0.2939877]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.50309126419653]
Predicted rank: [0], ambiguousness: [[0.7714839  0.22851609]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.55821110660654]
Predicted rank: [0], ambiguousness: [[0.8898269  0.11017308]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.6404352022586]
Predicted rank: [0], ambiguousness: [[0.6572787  0.34272128]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.73863746500666]
Predicted rank: [0], ambiguousness: [[0.8552178  0.14478219]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.78397730137581]
Predicted rank: [0], ambiguousness: [[0.67959    0.32040998]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.44746382808493]
Predicted rank: [0], ambiguousness: [[0.7000858  0.29991418]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.6259420513871]
Predicted rank: [0], ambiguousness: [[0.6672864  0.33271357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.81624942588647]
Predicted rank: [0], ambiguousness: [[0.7871242  0.21287577]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.87018036924167]
Predicted rank: [0], ambiguousness: [[0.9066545  0.09334551]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.02525648405455]
Predicted rank: [0], ambiguousness: [[0.82195306 0.17804696]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.11869142004085]
Predicted rank: [0], ambiguousness: [[0.9272033  0.07279668]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.16276624033404]
Predicted rank: [0], ambiguousness: [[0.84566313 0.15433688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.20218039414969]
Predicted rank: [0], ambiguousness: [[0.6722928  0.32770717]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.30767569642481]
Predicted rank: [0], ambiguousness: [[0.8841914 0.1158086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.40245114094274]
Predicted rank: [0], ambiguousness: [[0.7910576  0.20894244]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.45776679934282]
Predicted rank: [0], ambiguousness: [[0.6628865  0.33711353]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.54346870139243]
Predicted rank: [0], ambiguousness: [[0.715703   0.28429702]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 104.70653074676027]
Predicted rank: [0], ambiguousness: [[0.74920714 0.25079286]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.93155889843706]
Predicted rank: [0], ambiguousness: [[0.6602379 0.3397621]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.06806765705642]
Predicted rank: [0], ambiguousness: [[0.72982705 0.27017295]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.26928769305258]
Predicted rank: [0], ambiguousness: [[0.55231154 0.4476885 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.8211787245394]
Predicted rank: [0], ambiguousness: [[0.7446573  0.25534272]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.4120398476434]
Predicted rank: [0], ambiguousness: [[0.7751252 0.2248748]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.61266163858456]
Predicted rank: [0], ambiguousness: [[0.822802 0.177198]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.70224618912887]
Predicted rank: [0], ambiguousness: [[0.6251448  0.37485522]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.46172292344154]
Predicted rank: [0], ambiguousness: [[0.7301154  0.26988456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.70300821924243]
Predicted rank: [0], ambiguousness: [[0.77435136 0.22564861]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.85211850769483]
Predicted rank: [0], ambiguousness: [[0.6943699 0.3056301]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.90294233538282]
Predicted rank: [0], ambiguousness: [[0.6623929 0.3376071]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.06895344440423]
Predicted rank: [0], ambiguousness: [[0.6257807  0.37421933]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.16374118495669]
Predicted rank: [0], ambiguousness: [[0.61301845 0.38698155]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.20484409110128]
Predicted rank: [0], ambiguousness: [[0.78764284 0.2123572 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.41589319849442]
Predicted rank: [0], ambiguousness: [[0.69621176 0.30378824]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.7499062935772]
Predicted rank: [0], ambiguousness: [[0.80472666 0.19527335]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.80184201441247]
Predicted rank: [0], ambiguousness: [[0.750498   0.24950199]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.17824158105897]
Predicted rank: [0], ambiguousness: [[0.83161855 0.16838145]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.27457691983074]
Predicted rank: [0], ambiguousness: [[0.7931384  0.20686163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.40933339613295]
Predicted rank: [0], ambiguousness: [[0.83545136 0.1645486 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.46392422732558]
Predicted rank: [0], ambiguousness: [[0.87781644 0.12218358]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.8651058002668]
Predicted rank: [0], ambiguousness: [[0.753077   0.24692304]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.98681538390716]
Predicted rank: [0], ambiguousness: [[0.7362554  0.26374456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.18612757251157]
Predicted rank: [0], ambiguousness: [[0.80717754 0.19282247]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.24248838752904]
Predicted rank: [0], ambiguousness: [[0.89531964 0.10468037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.32898015703202]
Predicted rank: [0], ambiguousness: [[0.7072356  0.29276443]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.42909267090303]
Predicted rank: [0], ambiguousness: [[0.8657069  0.13429311]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.47609577086297]
Predicted rank: [0], ambiguousness: [[0.70710695 0.29289302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 106.27423933862057]
Predicted rank: [0], ambiguousness: [[0.7180751 0.2819249]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 105.45086784285672]
Predicted rank: [0], ambiguousness: [[0.69981956 0.30018044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 105.64226879697279]
Predicted rank: [0], ambiguousness: [[0.82094187 0.17905815]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 105.69645595982873]
Predicted rank: [0], ambiguousness: [[0.9113918  0.08860821]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.85312275419294]
Predicted rank: [0], ambiguousness: [[0.845293 0.154707]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.94691620245024]
Predicted rank: [0], ambiguousness: [[0.9288798 0.0711202]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.99130880098983]
Predicted rank: [0], ambiguousness: [[0.854231   0.14576899]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 106.03172668166764]
Predicted rank: [0], ambiguousness: [[0.70698774 0.29301223]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 106.1376112251508]
Predicted rank: [0], ambiguousness: [[0.89284444 0.10715556]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 106.23292121385]
Predicted rank: [0], ambiguousness: [[0.8116547  0.18834528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 106.28886744560518]
Predicted rank: [0], ambiguousness: [[0.69453573 0.30546427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 103.33999391666276]
Predicted rank: [0], ambiguousness: [[0.76660013 0.23339987]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.8933397425908]
Predicted rank: [0], ambiguousness: [[0.8051448 0.1948552]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.08539390587393]
Predicted rank: [0], ambiguousness: [[0.8584245  0.14157553]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.19435405059131]
Predicted rank: [0], ambiguousness: [[0.69779253 0.3022075 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.85141465136525]
Predicted rank: [0], ambiguousness: [[0.76386833 0.23613168]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 105.08418498997193]
Predicted rank: [0], ambiguousness: [[0.8171829  0.18281709]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 104.24675524873129]
Predicted rank: [0], ambiguousness: [[0.7441526 0.2558474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 105.27417069273415]
Predicted rank: [0], ambiguousness: [[0.714576   0.28542396]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 104.45262093555318]
Predicted rank: [0], ambiguousness: [[0.6695788 0.3304212]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.54373792104562]
Predicted rank: [0], ambiguousness: [[0.6883864  0.31161362]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.58347566899918]
Predicted rank: [0], ambiguousness: [[0.81846964 0.18153037]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.93370176707953]
Predicted rank: [0], ambiguousness: [[0.67955256 0.32044747]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.30712373263586]
Predicted rank: [0], ambiguousness: [[0.7664547  0.23354527]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.32079557865643]
Predicted rank: [0], ambiguousness: [[0.7105428  0.28945723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.8206719274786]
Predicted rank: [0], ambiguousness: [[0.80509835 0.19490163]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.88850566287346]
Predicted rank: [0], ambiguousness: [[0.7702438  0.22975619]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.03729762281091]
Predicted rank: [0], ambiguousness: [[0.77023834 0.22976165]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.09647779689882]
Predicted rank: [0], ambiguousness: [[0.867186 0.132814]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.73888799391608]
Predicted rank: [0], ambiguousness: [[0.73503864 0.26496136]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.84803716761716]
Predicted rank: [0], ambiguousness: [[0.70018077 0.2998192 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.05743095728079]
Predicted rank: [0], ambiguousness: [[0.74045366 0.25954634]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.11581511865938]
Predicted rank: [0], ambiguousness: [[0.88917315 0.11082688]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.21190087829089]
Predicted rank: [0], ambiguousness: [[0.57677984 0.42322016]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.31496634724184]
Predicted rank: [0], ambiguousness: [[0.86109173 0.1389083 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.36526546898352]
Predicted rank: [0], ambiguousness: [[0.65610975 0.34389025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.5885480597747]
Predicted rank: [0], ambiguousness: [[0.6551398 0.3448602]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.58371668368926]
Predicted rank: [0], ambiguousness: [[0.6274252  0.37257484]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.89246324798302]
Predicted rank: [0], ambiguousness: [[0.74281394 0.25718606]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.97571696479389]
Predicted rank: [0], ambiguousness: [[0.8888799  0.11112013]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.29066931738852]
Predicted rank: [0], ambiguousness: [[0.7949272  0.20507282]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.42765443690422]
Predicted rank: [0], ambiguousness: [[0.91296595 0.08703406]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.512533289177]
Predicted rank: [0], ambiguousness: [[0.8214544  0.17854562]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.94810396565657]
Predicted rank: [0], ambiguousness: [[0.6744326  0.32556742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.0929745385281]
Predicted rank: [0], ambiguousness: [[0.8832022  0.11679778]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.24577724135054]
Predicted rank: [0], ambiguousness: [[0.79266095 0.20733902]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.36561946191438]
Predicted rank: [0], ambiguousness: [[0.66505706 0.33494297]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.28040341341702]
Predicted rank: [0], ambiguousness: [[0.6337051  0.36629492]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.42110291685745]
Predicted rank: [0], ambiguousness: [[0.8632976  0.13670243]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.57176932143776]
Predicted rank: [0], ambiguousness: [[0.82134986 0.17865017]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.76834062467279]
Predicted rank: [0], ambiguousness: [[0.82058525 0.17941473]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.93397089323376]
Predicted rank: [0], ambiguousness: [[0.6674241  0.33257595]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [104.0819702159925, 102.60678330964677]
Predicted rank: [0], ambiguousness: [[0.7634682  0.23653181]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [104.0819702159925, 103.22567038564243]
Predicted rank: [0], ambiguousness: [[0.7952822  0.20471781]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.43035542681005]
Predicted rank: [0], ambiguousness: [[0.85075873 0.14924127]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.51286771182973]
Predicted rank: [0], ambiguousness: [[0.6769687 0.3230313]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 104.35936025229975]
Predicted rank: [0], ambiguousness: [[0.74963737 0.2503626 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 104.60184199704725]
Predicted rank: [0], ambiguousness: [[0.80534637 0.19465363]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 103.74960477334777]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.80297050582627]
Predicted rank: [0], ambiguousness: [[0.6985468  0.30145317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.96776333903776]
Predicted rank: [0], ambiguousness: [[0.644219   0.35578102]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.0630587174429]
Predicted rank: [0], ambiguousness: [[0.66374516 0.33625486]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.10433185407601]
Predicted rank: [0], ambiguousness: [[0.7883878  0.21161222]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.27629877974697]
Predicted rank: [0], ambiguousness: [[0.66995287 0.33004713]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.6757256119152]
Predicted rank: [0], ambiguousness: [[0.75853336 0.24146661]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.65866236531392]
Predicted rank: [0], ambiguousness: [[0.704076 0.295924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.24051079242335]
Predicted rank: [0], ambiguousness: [[0.79091465 0.20908532]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.28345657503621]
Predicted rank: [0], ambiguousness: [[0.7566081  0.24339184]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.4424538297552]
Predicted rank: [0], ambiguousness: [[0.75660247 0.24339755]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.50516582332997]
Predicted rank: [0], ambiguousness: [[0.8484592  0.15154083]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.29547335912511]
Predicted rank: [0], ambiguousness: [[0.7264321  0.27356791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.38875575511926]
Predicted rank: [0], ambiguousness: [[0.69358236 0.30641764]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.60782363927301]
Predicted rank: [0], ambiguousness: [[0.7344054  0.26559463]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.66841929391215]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.77280716054241]
Predicted rank: [0], ambiguousness: [[0.56913686 0.43086317]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.87923712574536]
Predicted rank: [0], ambiguousness: [[0.84747434 0.15252565]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.93270171459254]
Predicted rank: [0], ambiguousness: [[0.6389974  0.36100262]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.20287524561537]
Predicted rank: [0], ambiguousness: [[0.69590104 0.30409896]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.18175772786657]
Predicted rank: [0], ambiguousness: [[0.6699842 0.3300158]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.501477696732]
Predicted rank: [0], ambiguousness: [[0.7878704  0.21212962]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.5873894655945]
Predicted rank: [0], ambiguousness: [[0.89640975 0.10359026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.91923816953644]
Predicted rank: [0], ambiguousness: [[0.8263283  0.17367175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.06002627570305]
Predicted rank: [0], ambiguousness: [[0.916584   0.08341599]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.14851921856194]
Predicted rank: [0], ambiguousness: [[0.8361496  0.16385044]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.62634664504526]
Predicted rank: [0], ambiguousness: [[0.7164568  0.28354323]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.77435432560148]
Predicted rank: [0], ambiguousness: [[0.8939573 0.1060427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.93177100468193]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.05700084636088]
Predicted rank: [0], ambiguousness: [[0.7042388 0.2957612]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 105.1104923456256]
Predicted rank: [0], ambiguousness: [[0.67848015 0.32151982]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 105.25183605649983]
Predicted rank: [0], ambiguousness: [[0.87562734 0.12437264]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 105.4035043550754]
Predicted rank: [0], ambiguousness: [[0.8444123  0.15558766]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.60194638581413]
Predicted rank: [0], ambiguousness: [[0.8374913  0.16250873]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 105.76924312219836]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.8205163341193]
Predicted rank: [0], ambiguousness: [[0.69569194 0.30430806]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 103.200013237785]
Predicted rank: [0], ambiguousness: [[0.7939796  0.20602043]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 102.20812301701284]
Predicted rank: [0], ambiguousness: [[0.74152625 0.25847378]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.72786569335706]
Predicted rank: [0], ambiguousness: [[0.8287327  0.17126724]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.79178858032054]
Predicted rank: [0], ambiguousness: [[0.7906393  0.20936075]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.94263614854029]
Predicted rank: [0], ambiguousness: [[0.824196   0.17580403]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.00248407400792]
Predicted rank: [0], ambiguousness: [[0.8803905  0.11960947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.6897519297886]
Predicted rank: [0], ambiguousness: [[0.76148033 0.23851964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.79813252934927]
Predicted rank: [0], ambiguousness: [[0.73283297 0.26716703]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 104.00818828173243]
Predicted rank: [0], ambiguousness: [[0.79407376 0.20592624]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 104.06670234274894]
Predicted rank: [0], ambiguousness: [[0.8973482  0.10265177]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 104.16324484991411]
Predicted rank: [0], ambiguousness: [[0.6865716 0.3134284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 104.26651360050829]
Predicted rank: [0], ambiguousness: [[0.86474264 0.13525733]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 104.3170302909752]
Predicted rank: [0], ambiguousness: [[0.70782363 0.2921764 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.70244129855246]
Predicted rank: [0], ambiguousness: [[0.6754858 0.3245142]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.63596981460026]
Predicted rank: [0], ambiguousness: [[0.62940764 0.3705924 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.9996819544223]
Predicted rank: [0], ambiguousness: [[0.7168095  0.28319052]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.09466686232287]
Predicted rank: [0], ambiguousness: [[0.8903194  0.10968059]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.51236283407465]
Predicted rank: [0], ambiguousness: [[0.7222671 0.2777329]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.66451967337065]
Predicted rank: [0], ambiguousness: [[0.9169688  0.08303121]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.76527494362539]
Predicted rank: [0], ambiguousness: [[0.7962178  0.20378217]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.47776277795884]
Predicted rank: [0], ambiguousness: [[0.6629478  0.33705226]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.63125441996898]
Predicted rank: [0], ambiguousness: [[0.89018977 0.1098102 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.79826002678625]
Predicted rank: [0], ambiguousness: [[0.7810136  0.21898638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.93511290151855]
Predicted rank: [0], ambiguousness: [[0.60902464 0.39097533]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.11016443241813]
Predicted rank: [0], ambiguousness: [[0.6010446 0.3989554]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.323837596537]
Predicted rank: [0], ambiguousness: [[0.84159696 0.15840302]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.58294681980138]
Predicted rank: [0], ambiguousness: [[0.80014396 0.19985603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.96940414540583]
Predicted rank: [0], ambiguousness: [[0.7993108 0.2006892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.62563966006479]
Predicted rank: [0], ambiguousness: [[0.6775885  0.32241148]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.97304262726402]
Predicted rank: [0], ambiguousness: [[0.63704336 0.36295664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [104.0819702159925, 102.06374383141642]
Predicted rank: [0], ambiguousness: [[0.6752534  0.32474664]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [104.0819702159925, 102.47505896579156]
Predicted rank: [0], ambiguousness: [[0.7780362  0.22196382]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [104.0819702159925, 101.44708350989569]
Predicted rank: [0], ambiguousness: [[0.72214127 0.27785876]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [104.0819702159925, 103.06780774918185]
Predicted rank: [0], ambiguousness: [[0.8080783  0.19192173]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [104.0819702159925, 102.10307000950851]
Predicted rank: [0], ambiguousness: [[0.7659705  0.23402949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [104.0819702159925, 102.26610359524537]
Predicted rank: [0], ambiguousness: [[0.8024935  0.19750649]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [104.0819702159925, 102.33012745737412]
Predicted rank: [0], ambiguousness: [[0.8592766  0.14072339]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 104.20847912498027]
Predicted rank: [0], ambiguousness: [[0.73225355 0.26774648]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 103.30024474605642]
Predicted rank: [0], ambiguousness: [[0.7006368 0.2993632]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 103.52062406472972]
Predicted rank: [0], ambiguousness: [[0.7669103  0.23308967]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 103.58147660043593]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.68676809850187]
Predicted rank: [0], ambiguousness: [[0.65145206 0.34854794]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.79360008035968]
Predicted rank: [0], ambiguousness: [[0.8392676  0.16073242]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.84749579301499]
Predicted rank: [0], ambiguousness: [[0.66426814 0.33573183]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.04834040202314]
Predicted rank: [0], ambiguousness: [[0.6483873  0.35161266]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.94635702802572]
Predicted rank: [0], ambiguousness: [[0.61118215 0.38881785]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.33837894911741]
Predicted rank: [0], ambiguousness: [[0.7008394  0.29916063]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.43972510997887]
Predicted rank: [0], ambiguousness: [[0.8779183  0.12208169]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.90695591398088]
Predicted rank: [0], ambiguousness: [[0.69721377 0.3027862 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.06770583028893]
Predicted rank: [0], ambiguousness: [[0.903474   0.09652603]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.17710893994571]
Predicted rank: [0], ambiguousness: [[0.76806176 0.23193823]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.02346340419933]
Predicted rank: [0], ambiguousness: [[0.6454426 0.3545574]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.18267636338032]
Predicted rank: [0], ambiguousness: [[0.877776   0.12222395]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.35859305359077]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.50577946657816]
Predicted rank: [0], ambiguousness: [[0.5798286 0.4201714]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.71177453498899]
Predicted rank: [0], ambiguousness: [[0.6369884 0.3630116]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.93203242730371]
Predicted rank: [0], ambiguousness: [[0.8541065  0.14589351]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.20122132454861]
Predicted rank: [0], ambiguousness: [[0.8186091 0.1813909]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.60743905449107]
Predicted rank: [0], ambiguousness: [[0.8107974 0.1892026]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.31450751617862]
Predicted rank: [0], ambiguousness: [[0.6920308  0.30796924]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 104.81744016147817]
Predicted rank: [0], ambiguousness: [[0.65237    0.34763005]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 102.6013906875584]
Predicted rank: [0], ambiguousness: [[0.67618036 0.32381964]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 101.52826052125437]
Predicted rank: [0], ambiguousness: [[0.64210314 0.35789686]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.89878546335719]
Predicted rank: [0], ambiguousness: [[0.75472313 0.24527687]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.995163965947]
Predicted rank: [0], ambiguousness: [[0.89169747 0.10830251]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.42754105193251]
Predicted rank: [0], ambiguousness: [[0.80505645 0.19494352]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 102.58137538375317]
Predicted rank: [0], ambiguousness: [[0.9152311  0.08476892]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.68393687094843]
Predicted rank: [0], ambiguousness: [[0.83055276 0.16944726]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 103.44211388460863]
Predicted rank: [0], ambiguousness: [[0.7008864  0.29911357]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.59597697151548]
Predicted rank: [0], ambiguousness: [[0.89205074 0.10794926]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.7636162740235]
Predicted rank: [0], ambiguousness: [[0.8121835  0.18781653]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.90104305748369]
Predicted rank: [0], ambiguousness: [[0.6919247  0.30807528]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.12456057602348]
Predicted rank: [0], ambiguousness: [[0.57732975 0.42267025]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.36857125335045]
Predicted rank: [0], ambiguousness: [[0.8491621  0.15083791]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.67970179238222]
Predicted rank: [0], ambiguousness: [[0.7810136  0.21898638]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.18371565864226]
Predicted rank: [0], ambiguousness: [[0.7308986 0.2691014]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.15787023831957]
Predicted rank: [0], ambiguousness: [[0.6697848 0.3302152]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.7126757099353]
Predicted rank: [0], ambiguousness: [[0.5934087 0.4065913]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [104.0819702159925, 101.90088703038353]
Predicted rank: [0], ambiguousness: [[0.65508103 0.34491894]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [104.0819702159925, 100.78801821976803]
Predicted rank: [0], ambiguousness: [[0.61909187 0.38090816]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [104.0819702159925, 101.19155533558998]
Predicted rank: [0], ambiguousness: [[0.73597544 0.26402456]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [104.0819702159925, 101.2952339223998]
Predicted rank: [0], ambiguousness: [[0.8771418  0.12285825]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.78782017098915]
Predicted rank: [0], ambiguousness: [[0.7816173 0.2183827]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.95133725676521]
Predicted rank: [0], ambiguousness: [[0.8995657  0.10043427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [104.0819702159925, 102.06374911240931]
Predicted rank: [0], ambiguousness: [[0.80261374 0.1973863 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 102.99046829468176]
Predicted rank: [0], ambiguousness: [[0.6665919 0.3334081]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 103.1501064266981]
Predicted rank: [0], ambiguousness: [[0.8709515  0.12904854]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 103.32679403694453]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.47456109323375]
Predicted rank: [0], ambiguousness: [[0.64718056 0.35281947]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.47426116238643]
Predicted rank: [0], ambiguousness: [[0.5583403  0.44165966]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 100.73359682537384]
Predicted rank: [0], ambiguousness: [[0.8329805  0.16701949]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.06985770605286]
Predicted rank: [0], ambiguousness: [[0.759591   0.24040905]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.62801810700266]
Predicted rank: [0], ambiguousness: [[0.69715023 0.30284977]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.74979907666878]
Predicted rank: [0], ambiguousness: [[0.6424623 0.3575377]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.35675109924776]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 101.04668884224884]
Predicted rank: [0], ambiguousness: [[0.60298634 0.39701366]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 101.29416901217641]
Predicted rank: [0], ambiguousness: [[0.8426744 0.1573256]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.61154762935452]
Predicted rank: [0], ambiguousness: [[0.80143684 0.19856316]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.13162809445502]
Predicted rank: [0], ambiguousness: [[0.7934452  0.20655474]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 103.15537165845683]
Predicted rank: [0], ambiguousness: [[0.69226265 0.30773732]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 100.72323971622609]
Predicted rank: [0], ambiguousness: [[0.58261466 0.41738534]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [104.0819702159925, 100.65606590612819]
Predicted rank: [0], ambiguousness: [[0.58131504 0.41868496]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [104.0819702159925, 100.91486743831192]
Predicted rank: [0], ambiguousness: [[0.82415575 0.17584427]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [104.0819702159925, 101.25130713851169]
Predicted rank: [0], ambiguousness: [[0.77933526 0.22066477]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.81454614882176]
Predicted rank: [0], ambiguousness: [[0.7707086 0.2292914]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 102.96215672912173]
Predicted rank: [0], ambiguousness: [[0.6496073  0.35039267]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 100.40308982020571]
Predicted rank: [0], ambiguousness: [[0.5551325 0.4448675]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 100.84217262626439]
Predicted rank: [0], ambiguousness: [[0.58220816 0.4177918 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 6, 1, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 101.61861446295595]
Predicted rank: [0], ambiguousness: [[0.5862533 0.4137467]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.88674398078496]
Predicted rank: [0], ambiguousness: [[0.60944825 0.39055175]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.75466127574303]
Predicted rank: [0], ambiguousness: [[0.73749715 0.26250285]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.91947351656049]
Predicted rank: [0], ambiguousness: [[0.74935687 0.2506431 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 109.00473462702186]
Predicted rank: [0], ambiguousness: [[0.7046183  0.29538172]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 109.07277111934272]
Predicted rank: [0], ambiguousness: [[0.73911226 0.2608877 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 108.56886349076065]
Predicted rank: [0], ambiguousness: [[0.61027914 0.38972086]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.80713796935439]
Predicted rank: [0], ambiguousness: [[0.58481586 0.4151841 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.31783730452011]
Predicted rank: [0], ambiguousness: [[0.6992845 0.3007155]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.76066484300023]
Predicted rank: [0], ambiguousness: [[0.73657966 0.2634203 ]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 107.89137399599366]
Predicted rank: [0], ambiguousness: [[0.6840328  0.31596723]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 107.9784062537706]
Predicted rank: [0], ambiguousness: [[0.70677584 0.29322416]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 107.4185288927759]
Predicted rank: [0], ambiguousness: [[0.5836595 0.4163405]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 0, 7]
Costs: [104.0819702159925, 108.53092655703938]
Predicted rank: [0], ambiguousness: [[0.77078444 0.22921558]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.70104605056356]
Predicted rank: [0], ambiguousness: [[0.8221426  0.17785743]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.78450777317758]
Predicted rank: [0], ambiguousness: [[0.85424495 0.14575507]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 1, 6]
Costs: [104.0819702159925, 108.25441230175961]
Predicted rank: [0], ambiguousness: [[0.74082834 0.25917166]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 0, 7]
Costs: [104.0819702159925, 108.83506241854978]
Predicted rank: [0], ambiguousness: [[0.7255653  0.27443466]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 0, 7]
Costs: [104.0819702159925, 108.94644543424195]
Predicted rank: [0], ambiguousness: [[0.7818582  0.21814178]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 1, 6]
Costs: [104.0819702159925, 108.41913616548959]
Predicted rank: [0], ambiguousness: [[0.7382231  0.26177695]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 0, 7]
Costs: [104.0819702159925, 109.01771866557311]
Predicted rank: [0], ambiguousness: [[0.69084483 0.30915517]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 1, 6]
Costs: [104.0819702159925, 108.49505646986167]
Predicted rank: [0], ambiguousness: [[0.6627043 0.3372957]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 1, 6]
Costs: [104.0819702159925, 108.53551611176029]
Predicted rank: [0], ambiguousness: [[0.68171716 0.31828284]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 2, 0, 6]
Costs: [104.0819702159925, 108.5545943022047]
Predicted rank: [0], ambiguousness: [[0.80855256 0.19144742]]
Schedule pairs: [7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [104.0819702159925, 107.58517370744023]
Predicted rank: [1], ambiguousness: [[0.48592752 0.5140725 ]]
Found better solution: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Running local search 1
Switching 1 patient(s). Size of neighborhood: 20
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.76946641373726]
Predicted rank: [0], ambiguousness: [[0.68831074 0.31168926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.08514193028185]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.02544396896593]
Predicted rank: [0], ambiguousness: [[0.562837 0.437163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.0242668525535]
Predicted rank: [0], ambiguousness: [[0.52897596 0.47102407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.10677634209065]
Predicted rank: [0], ambiguousness: [[0.68883586 0.31116414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.7761063453884]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.92316432342668]
Predicted rank: [0], ambiguousness: [[0.64521205 0.35478792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.01628528484541]
Predicted rank: [0], ambiguousness: [[0.6482173  0.35178268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.44058444586892]
Predicted rank: [0], ambiguousness: [[0.5328193  0.46718076]]
Running local search 2
Switching 2 patient(s). Size of neighborhood: 190
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.26933570141851]
Predicted rank: [0], ambiguousness: [[0.6517128  0.34828722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.1456686451008]
Predicted rank: [0], ambiguousness: [[0.70263267 0.2973673 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.16127893329704]
Predicted rank: [0], ambiguousness: [[0.6901654  0.30983463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.729881165732]
Predicted rank: [0], ambiguousness: [[0.80555403 0.19444594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.81301114337893]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.03677800820795]
Predicted rank: [0], ambiguousness: [[0.73364556 0.2663544 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.17276266487343]
Predicted rank: [0], ambiguousness: [[0.77178085 0.22821912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.3751018557715]
Predicted rank: [0], ambiguousness: [[0.5328193  0.46718076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.58513893977927]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.52541219180756]
Predicted rank: [0], ambiguousness: [[0.61060756 0.38939244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.52423507539513]
Predicted rank: [0], ambiguousness: [[0.5776702  0.42232978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.60674456493227]
Predicted rank: [0], ambiguousness: [[0.7150485 0.2849515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.27607456823002]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.4231325462683]
Predicted rank: [0], ambiguousness: [[0.6923697  0.30763027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.51625350768703]
Predicted rank: [0], ambiguousness: [[0.69176745 0.30823258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.94055266871055]
Predicted rank: [0], ambiguousness: [[0.58143055 0.41856948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.50417210450033]
Predicted rank: [0], ambiguousness: [[0.56621677 0.43378323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.44886722362828]
Predicted rank: [0], ambiguousness: [[0.55050635 0.44949365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.53464275940723]
Predicted rank: [0], ambiguousness: [[0.7031441  0.29685596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.21527973065638]
Predicted rank: [0], ambiguousness: [[0.7204193 0.2795807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.36304837847823]
Predicted rank: [0], ambiguousness: [[0.6605377 0.3394623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.45643637282136]
Predicted rank: [0], ambiguousness: [[0.66348076 0.3365192 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.88006828051664]
Predicted rank: [0], ambiguousness: [[0.5387585  0.46124148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.50681390048207]
Predicted rank: [0], ambiguousness: [[0.57423097 0.42576903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.50114753026347]
Predicted rank: [0], ambiguousness: [[0.6988289  0.30117112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.21410356488488]
Predicted rank: [0], ambiguousness: [[0.6920865  0.30791348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.36185462447725]
Predicted rank: [0], ambiguousness: [[0.6362166  0.36378342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.45526198187302]
Predicted rank: [0], ambiguousness: [[0.6335821  0.36641786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.87895995921076]
Predicted rank: [0], ambiguousness: [[0.52984595 0.47015405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.41161849944493]
Predicted rank: [0], ambiguousness: [[0.6926538  0.30734625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.01143820860639]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.38847134591123]
Predicted rank: [0], ambiguousness: [[0.7873526 0.2126474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.52251877069607]
Predicted rank: [0], ambiguousness: [[0.80431277 0.19568725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 106.87665846483212]
Predicted rank: [0], ambiguousness: [[0.69067204 0.30932793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.03224911395235]
Predicted rank: [0], ambiguousness: [[0.6817758  0.31822422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.19568896572805]
Predicted rank: [0], ambiguousness: [[0.72968376 0.27031627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.58470558018739]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.32593546790764]
Predicted rank: [0], ambiguousness: [[0.64735353 0.3526465 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.72559772694103]
Predicted rank: [0], ambiguousness: [[0.61957264 0.38042733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.78868830157339]
Predicted rank: [0], ambiguousness: [[0.6176972  0.38230282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.81638862310083]
Predicted rank: [0], ambiguousness: [[0.80600286 0.19399714]]
Running local search 3
Switching 3 patient(s). Size of neighborhood: 1140
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.76932197319832]
Predicted rank: [0], ambiguousness: [[0.73763734 0.26236266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.64553793278205]
Predicted rank: [0], ambiguousness: [[0.66690254 0.33309746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.66114822097828]
Predicted rank: [0], ambiguousness: [[0.65367556 0.3463244 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.22975045341325]
Predicted rank: [0], ambiguousness: [[0.776368   0.22363198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.3128804310602]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.53664729588921]
Predicted rank: [0], ambiguousness: [[0.7033957 0.2966043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.67263195255467]
Predicted rank: [0], ambiguousness: [[0.7413002 0.2586998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.87497114345277]
Predicted rank: [0], ambiguousness: [[0.58143055 0.41856948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.59687564544346]
Predicted rank: [0], ambiguousness: [[0.7054972 0.2945028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.50520932499701]
Predicted rank: [0], ambiguousness: [[0.69843113 0.30156887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.07976360351596]
Predicted rank: [0], ambiguousness: [[0.81592935 0.18407063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.18688648431831]
Predicted rank: [0], ambiguousness: [[0.8184494  0.18155059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.41215897579228]
Predicted rank: [0], ambiguousness: [[0.7466512  0.25334886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.54871187528673]
Predicted rank: [0], ambiguousness: [[0.78347397 0.21652605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.74960819355277]
Predicted rank: [0], ambiguousness: [[0.5387585  0.46124148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.62876955445701]
Predicted rank: [0], ambiguousness: [[0.7183428 0.2816572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.03976346168278]
Predicted rank: [0], ambiguousness: [[0.8130964  0.18690363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.20282550705062]
Predicted rank: [0], ambiguousness: [[0.80952144 0.19047855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.42785365872741]
Predicted rank: [0], ambiguousness: [[0.73533416 0.2646658 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.56436241734677]
Predicted rank: [0], ambiguousness: [[0.77425134 0.22574869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.76558245334292]
Predicted rank: [0], ambiguousness: [[0.52984595 0.47015405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.90967015689864]
Predicted rank: [0], ambiguousness: [[0.8083383  0.19166172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.31747348482973]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.90833460793374]
Predicted rank: [0], ambiguousness: [[0.8511554 0.1488446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.10895639887491]
Predicted rank: [0], ambiguousness: [[0.88495    0.11505002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.19854094941923]
Predicted rank: [0], ambiguousness: [[0.69067204 0.30932793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.9580176837319]
Predicted rank: [0], ambiguousness: [[0.7911941  0.20880593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.19930297953279]
Predicted rank: [0], ambiguousness: [[0.8252534  0.17474659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.34841326798517]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.39923709567317]
Predicted rank: [0], ambiguousness: [[0.74260545 0.25739458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.56524820469457]
Predicted rank: [0], ambiguousness: [[0.61957264 0.38042733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.66003594524705]
Predicted rank: [0], ambiguousness: [[0.6176972  0.38230282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.70113885139163]
Predicted rank: [0], ambiguousness: [[0.80600286 0.19399714]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.02540920130497]
Predicted rank: [0], ambiguousness: [[0.64361143 0.3563886 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.02423208489255]
Predicted rank: [0], ambiguousness: [[0.6116904  0.38830963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.10674157442969]
Predicted rank: [0], ambiguousness: [[0.75640535 0.24359466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.77607157772744]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.92312955576573]
Predicted rank: [0], ambiguousness: [[0.72160316 0.27839682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.01625051718446]
Predicted rank: [0], ambiguousness: [[0.72103506 0.27896494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.44054967820796]
Predicted rank: [0], ambiguousness: [[0.6153495  0.38465053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.00414032734196]
Predicted rank: [0], ambiguousness: [[0.61387134 0.38612866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.9488354464699]
Predicted rank: [0], ambiguousness: [[0.59866357 0.40133646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.03461098224886]
Predicted rank: [0], ambiguousness: [[0.72862625 0.27137378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.71524795349801]
Predicted rank: [0], ambiguousness: [[0.7583629  0.24163711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.86301660131986]
Predicted rank: [0], ambiguousness: [[0.70658463 0.29341537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.95640459566299]
Predicted rank: [0], ambiguousness: [[0.70599836 0.29400164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.38003650335826]
Predicted rank: [0], ambiguousness: [[0.58723056 0.4127694 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.0067821233237]
Predicted rank: [0], ambiguousness: [[0.6215936  0.37840644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.0011157531051]
Predicted rank: [0], ambiguousness: [[0.72453636 0.27546364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.71407178772648]
Predicted rank: [0], ambiguousness: [[0.73244727 0.2675527 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.86182284731885]
Predicted rank: [0], ambiguousness: [[0.6839843  0.31601575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.95523020471464]
Predicted rank: [0], ambiguousness: [[0.6780441 0.3219559]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.37892818205239]
Predicted rank: [0], ambiguousness: [[0.57852197 0.42147806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91158672228656]
Predicted rank: [0], ambiguousness: [[0.7209136 0.2790864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.51140643144802]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.88843956875286]
Predicted rank: [0], ambiguousness: [[0.8156282 0.1843718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.0224869935377]
Predicted rank: [0], ambiguousness: [[0.8249012  0.17509879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.37662668767375]
Predicted rank: [0], ambiguousness: [[0.71679366 0.28320637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.53221733679396]
Predicted rank: [0], ambiguousness: [[0.72613627 0.27386373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.69565718856967]
Predicted rank: [0], ambiguousness: [[0.76677704 0.23322298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.084673803029]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.82590369074926]
Predicted rank: [0], ambiguousness: [[0.6909596  0.30904046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.22556594978266]
Predicted rank: [0], ambiguousness: [[0.6683867 0.3316133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.28865652441502]
Predicted rank: [0], ambiguousness: [[0.6630617  0.33693832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.31635684594247]
Predicted rank: [0], ambiguousness: [[0.83499175 0.16500823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.99536745438921]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.92449768596346]
Predicted rank: [0], ambiguousness: [[0.5629747 0.4370253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.01286160025366]
Predicted rank: [0], ambiguousness: [[0.7060057 0.2939943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.69397282002603]
Predicted rank: [0], ambiguousness: [[0.72317994 0.27682003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.84176412999633]
Predicted rank: [0], ambiguousness: [[0.66361356 0.33638644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.93516080584457]
Predicted rank: [0], ambiguousness: [[0.6665435  0.33345655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.35877267272463]
Predicted rank: [0], ambiguousness: [[0.54217297 0.45782703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.91891239166222]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.90370616836807]
Predicted rank: [0], ambiguousness: [[0.71675265 0.28324732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.63741574964357]
Predicted rank: [0], ambiguousness: [[0.7102452 0.2897548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.78599795941273]
Predicted rank: [0], ambiguousness: [[0.65603256 0.34396744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.87972272446197]
Predicted rank: [0], ambiguousness: [[0.6534634  0.34653658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.30264830113896]
Predicted rank: [0], ambiguousness: [[0.54052496 0.45947504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.8334882866341]
Predicted rank: [0], ambiguousness: [[0.7068611  0.29313892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.43391404658465]
Predicted rank: [0], ambiguousness: [[0.7204193 0.2795807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.81522991361052]
Predicted rank: [0], ambiguousness: [[0.79845613 0.20154385]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.95007169268682]
Predicted rank: [0], ambiguousness: [[0.8147391  0.18526092]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.30265955606805]
Predicted rank: [0], ambiguousness: [[0.6957505 0.3042495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.47067844648721]
Predicted rank: [0], ambiguousness: [[0.69626546 0.30373454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.63470165092431]
Predicted rank: [0], ambiguousness: [[0.7428149  0.25718513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.02292740323105]
Predicted rank: [0], ambiguousness: [[0.71052825 0.28947172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.7656285919237]
Predicted rank: [0], ambiguousness: [[0.66263497 0.337365  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.16456963498021]
Predicted rank: [0], ambiguousness: [[0.62518495 0.37481505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.22790943604178]
Predicted rank: [0], ambiguousness: [[0.6233202  0.37667975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.25569752090841]
Predicted rank: [0], ambiguousness: [[0.8163597 0.1836403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.98230849091397]
Predicted rank: [0], ambiguousness: [[0.727862   0.27213797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.69665061281344]
Predicted rank: [0], ambiguousness: [[0.7296787 0.2703213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.84440167240581]
Predicted rank: [0], ambiguousness: [[0.64606315 0.35393685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.9378090298016]
Predicted rank: [0], ambiguousness: [[0.68407047 0.31592953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.36150700713932]
Predicted rank: [0], ambiguousness: [[0.5902251  0.40977487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.76371770692008]
Predicted rank: [0], ambiguousness: [[0.6941043  0.30589566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.38753666618663]
Predicted rank: [0], ambiguousness: [[0.6920865  0.30791348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.77981632054815]
Predicted rank: [0], ambiguousness: [[0.7875439  0.21245608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.91607408351277]
Predicted rank: [0], ambiguousness: [[0.81243885 0.18756112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.26643508220687]
Predicted rank: [0], ambiguousness: [[0.7124649  0.28753504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.46943380489472]
Predicted rank: [0], ambiguousness: [[0.6732378  0.32676217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.63352751291202]
Predicted rank: [0], ambiguousness: [[0.7169578  0.28304216]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.02182063944574]
Predicted rank: [0], ambiguousness: [[0.70310575 0.29689425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.76443062174508]
Predicted rank: [0], ambiguousness: [[0.64061075 0.35938925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.16343948275961]
Predicted rank: [0], ambiguousness: [[0.623806   0.37619403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.22680756942157]
Predicted rank: [0], ambiguousness: [[0.61615646 0.38384357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.25460103192604]
Predicted rank: [0], ambiguousness: [[0.7886411  0.21135889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.88382906432557]
Predicted rank: [0], ambiguousness: [[0.7277844  0.27221557]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.17782033574971]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.68141257229898]
Predicted rank: [0], ambiguousness: [[0.78351545 0.21648452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.82445466277579]
Predicted rank: [0], ambiguousness: [[0.80504304 0.19495697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.1669487161684]
Predicted rank: [0], ambiguousness: [[0.6944774  0.30552262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.14236862041857]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.4050594764587]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 106.69108007238516]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.7637765852956]
Predicted rank: [0], ambiguousness: [[0.7935411 0.2064589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.08704053647584]
Predicted rank: [0], ambiguousness: [[0.77917814 0.22082187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.19077634601115]
Predicted rank: [0], ambiguousness: [[0.7931813  0.20681867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.23216654453341]
Predicted rank: [0], ambiguousness: [[0.8872274 0.1127726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.4094688189252]
Predicted rank: [0], ambiguousness: [[0.64937043 0.35062954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.76113407753209]
Predicted rank: [0], ambiguousness: [[0.6700384 0.3299616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.90693714882173]
Predicted rank: [0], ambiguousness: [[0.72626543 0.27373454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.94778377645059]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.01148523539747]
Predicted rank: [0], ambiguousness: [[0.62177813 0.37822184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.08414480520564]
Predicted rank: [0], ambiguousness: [[0.85576016 0.14423983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.11796332940142]
Predicted rank: [0], ambiguousness: [[0.6328883  0.36711168]]
Running local search 4
Switching 4 patient(s). Size of neighborhood: 4845
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.14552420456184]
Predicted rank: [0], ambiguousness: [[0.75051427 0.24948572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.1611344927581]
Predicted rank: [0], ambiguousness: [[0.73930967 0.26069036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.72973672519305]
Predicted rank: [0], ambiguousness: [[0.8406225 0.1593775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.81286670283998]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.036633567669]
Predicted rank: [0], ambiguousness: [[0.7808572  0.21914276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.17261822433449]
Predicted rank: [0], ambiguousness: [[0.8115152  0.18848482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.37495741523256]
Predicted rank: [0], ambiguousness: [[0.6153495  0.38465053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.09674493312471]
Predicted rank: [0], ambiguousness: [[0.66994953 0.33005047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.00507861267826]
Predicted rank: [0], ambiguousness: [[0.6624387 0.3375613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.5796328911972]
Predicted rank: [0], ambiguousness: [[0.7878906  0.21210939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.68675577199956]
Predicted rank: [0], ambiguousness: [[0.79252607 0.20747392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.91202826347353]
Predicted rank: [0], ambiguousness: [[0.7173092  0.28269082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.04858116296796]
Predicted rank: [0], ambiguousness: [[0.7540572  0.24594277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.24947748123401]
Predicted rank: [0], ambiguousness: [[0.58723056 0.4127694 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.12863884213826]
Predicted rank: [0], ambiguousness: [[0.6836504 0.3163496]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.53963274936402]
Predicted rank: [0], ambiguousness: [[0.7847399  0.21526009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.70269479473185]
Predicted rank: [0], ambiguousness: [[0.78266186 0.21733816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.92772294640866]
Predicted rank: [0], ambiguousness: [[0.705199 0.294801]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.06423170502802]
Predicted rank: [0], ambiguousness: [[0.743991   0.25600895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.26545174102417]
Predicted rank: [0], ambiguousness: [[0.57852197 0.42147806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.40953944457989]
Predicted rank: [0], ambiguousness: [[0.78135693 0.2186431 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.81734277251098]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.40820389561499]
Predicted rank: [0], ambiguousness: [[0.8347337  0.16526625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.60882568655614]
Predicted rank: [0], ambiguousness: [[0.8669789 0.1330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.69841023710048]
Predicted rank: [0], ambiguousness: [[0.71679366 0.28320637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.45788697141315]
Predicted rank: [0], ambiguousness: [[0.7653899 0.2346101]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.69917226721404]
Predicted rank: [0], ambiguousness: [[0.80006427 0.19993572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.84828255566643]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.89910638335442]
Predicted rank: [0], ambiguousness: [[0.7096938  0.29030624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.06511749237583]
Predicted rank: [0], ambiguousness: [[0.6683867 0.3316133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.15990523292828]
Predicted rank: [0], ambiguousness: [[0.6630617  0.33693832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.20100813907288]
Predicted rank: [0], ambiguousness: [[0.83499175 0.16500823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.07446039671711]
Predicted rank: [0], ambiguousness: [[0.70400333 0.29599667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.94936148761595]
Predicted rank: [0], ambiguousness: [[0.70896554 0.29103446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.52978214901326]
Predicted rank: [0], ambiguousness: [[0.8179852 0.1820148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.63801163036827]
Predicted rank: [0], ambiguousness: [[0.8204833  0.17951669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.86333697162453]
Predicted rank: [0], ambiguousness: [[0.74924296 0.25075704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.99991021533907]
Predicted rank: [0], ambiguousness: [[0.7857971 0.2142029]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.20075878040592]
Predicted rank: [0], ambiguousness: [[0.54217297 0.45782703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.94659245954986]
Predicted rank: [0], ambiguousness: [[0.7109208  0.28907916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.33677989798633]
Predicted rank: [0], ambiguousness: [[0.8189429 0.1810571]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.54401954021237]
Predicted rank: [0], ambiguousness: [[0.8154544  0.18454556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.77081072135852]
Predicted rank: [0], ambiguousness: [[0.7428439  0.25715607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.90799591926756]
Predicted rank: [0], ambiguousness: [[0.78098565 0.21901435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.10754330297263]
Predicted rank: [0], ambiguousness: [[0.54052496 0.45947504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.24693114419307]
Predicted rank: [0], ambiguousness: [[0.8185985 0.1814015]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.65589286796265]
Predicted rank: [0], ambiguousness: [[0.8184494  0.18155059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.25585960304866]
Predicted rank: [0], ambiguousness: [[0.8595218  0.14047818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.45817252471336]
Predicted rank: [0], ambiguousness: [[0.89165866 0.10834136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.54439547839368]
Predicted rank: [0], ambiguousness: [[0.6957505 0.3042495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.33031044037581]
Predicted rank: [0], ambiguousness: [[0.80214745 0.19785257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.57283728218628]
Predicted rank: [0], ambiguousness: [[0.83479315 0.16520683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.72023643251451]
Predicted rank: [0], ambiguousness: [[0.71052825 0.28947172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.7742125466797]
Predicted rank: [0], ambiguousness: [[0.7553194 0.2446806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.93866204878574]
Predicted rank: [0], ambiguousness: [[0.62518495 0.37481505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.03397971817999]
Predicted rank: [0], ambiguousness: [[0.6233202  0.37667975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.07526883057893]
Predicted rank: [0], ambiguousness: [[0.8163597 0.1836403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.50462107745201]
Predicted rank: [0], ambiguousness: [[0.8270116  0.17298843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.67031612821057]
Predicted rank: [0], ambiguousness: [[0.82952535 0.17047462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.89534427988738]
Predicted rank: [0], ambiguousness: [[0.7343719 0.2656281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.03185303850674]
Predicted rank: [0], ambiguousness: [[0.8037128 0.1962872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.2330730745029]
Predicted rank: [0], ambiguousness: [[0.5902251  0.40977487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.14292592163615]
Predicted rank: [0], ambiguousness: [[0.8096762  0.19032383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.59376890804707]
Predicted rank: [0], ambiguousness: [[0.80952144 0.19047855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.21265598404273]
Predicted rank: [0], ambiguousness: [[0.85724235 0.14275765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.41734102521035]
Predicted rank: [0], ambiguousness: [[0.89036405 0.10963596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.49985331023004]
Predicted rank: [0], ambiguousness: [[0.7124649  0.28753504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.34634585070003]
Predicted rank: [0], ambiguousness: [[0.7926209  0.20737907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.58882759544755]
Predicted rank: [0], ambiguousness: [[0.82727444 0.17272553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.73659037174806]
Predicted rank: [0], ambiguousness: [[0.70310575 0.29689425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.78995610422658]
Predicted rank: [0], ambiguousness: [[0.7517227  0.24827734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.95474893743805]
Predicted rank: [0], ambiguousness: [[0.623806   0.37619403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.0500443158432]
Predicted rank: [0], ambiguousness: [[0.61615646 0.38384357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.09131745247632]
Predicted rank: [0], ambiguousness: [[0.7886411  0.21135889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.36330185604217]
Predicted rank: [0], ambiguousness: [[0.8334259  0.16657412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.26730401732529]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.06835577328141]
Predicted rank: [0], ambiguousness: [[0.84824765 0.15175235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.28391967648037]
Predicted rank: [0], ambiguousness: [[0.88542217 0.11457781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.35378716929313]
Predicted rank: [0], ambiguousness: [[0.6944774  0.30552262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.26328437814726]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 104.66271121031549]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.64564796371421]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.22749639082363]
Predicted rank: [0], ambiguousness: [[0.86033124 0.13966875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.2704421734365]
Predicted rank: [0], ambiguousness: [[0.77917814 0.22082187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.42943942815549]
Predicted rank: [0], ambiguousness: [[0.7931813  0.20681867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.49215142173026]
Predicted rank: [0], ambiguousness: [[0.8872274 0.1127726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.2824589575254]
Predicted rank: [0], ambiguousness: [[0.77267104 0.22732897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.37574135351956]
Predicted rank: [0], ambiguousness: [[0.6700384 0.3299616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.5948092376733]
Predicted rank: [0], ambiguousness: [[0.72626543 0.27373454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.65540489231245]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.7597927589427]
Predicted rank: [0], ambiguousness: [[0.62177813 0.37822184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.86622272414566]
Predicted rank: [0], ambiguousness: [[0.85576016 0.14423983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.91968731299283]
Predicted rank: [0], ambiguousness: [[0.6328883  0.36711168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.50413733683936]
Predicted rank: [0], ambiguousness: [[0.64675856 0.35324144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.44883245596733]
Predicted rank: [0], ambiguousness: [[0.6320697  0.36793032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.53460799174627]
Predicted rank: [0], ambiguousness: [[0.76865    0.23134999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.21524496299541]
Predicted rank: [0], ambiguousness: [[0.78328806 0.21671194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.36301361081726]
Predicted rank: [0], ambiguousness: [[0.7349843 0.2650157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.4564016051604]
Predicted rank: [0], ambiguousness: [[0.7344335  0.26556653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.88003351285568]
Predicted rank: [0], ambiguousness: [[0.6209859  0.37901407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.50677913282112]
Predicted rank: [0], ambiguousness: [[0.6541935  0.34580645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.5011127626025]
Predicted rank: [0], ambiguousness: [[0.76496875 0.23503122]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.21406879722392]
Predicted rank: [0], ambiguousness: [[0.7591969  0.24080312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.36181985681628]
Predicted rank: [0], ambiguousness: [[0.71368504 0.28631496]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.45522721421206]
Predicted rank: [0], ambiguousness: [[0.708065   0.29193503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.8789251915498]
Predicted rank: [0], ambiguousness: [[0.6125195  0.38748047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41158373178398]
Predicted rank: [0], ambiguousness: [[0.7596834  0.24031661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.01140344094543]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.38843657825026]
Predicted rank: [0], ambiguousness: [[0.8406952  0.15930478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.52248400303512]
Predicted rank: [0], ambiguousness: [[0.8521873  0.14781274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.87662369717115]
Predicted rank: [0], ambiguousness: [[0.7579829 0.2420171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.03221434629138]
Predicted rank: [0], ambiguousness: [[0.75330424 0.24669573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.19565419806709]
Predicted rank: [0], ambiguousness: [[0.7910734  0.20892663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.58467081252643]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.32590070024668]
Predicted rank: [0], ambiguousness: [[0.7202729  0.27972707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.72556295928007]
Predicted rank: [0], ambiguousness: [[0.6989081  0.30109188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.78865353391242]
Predicted rank: [0], ambiguousness: [[0.6938487 0.3061513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.81635385543987]
Predicted rank: [0], ambiguousness: [[0.85353917 0.14646085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.49533567723084]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.42446590880509]
Predicted rank: [0], ambiguousness: [[0.61074066 0.38925937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.51282982309529]
Predicted rank: [0], ambiguousness: [[0.7313361 0.2686639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.19394104286764]
Predicted rank: [0], ambiguousness: [[0.76087326 0.23912674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.34173235283797]
Predicted rank: [0], ambiguousness: [[0.7094268  0.29057318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.4351290286862]
Predicted rank: [0], ambiguousness: [[0.7088439 0.2911561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.85874089556626]
Predicted rank: [0], ambiguousness: [[0.59055895 0.40944105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.41888061450383]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.4036743912097]
Predicted rank: [0], ambiguousness: [[0.7414962  0.25850382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.13738397248518]
Predicted rank: [0], ambiguousness: [[0.74908864 0.25091133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.28596618225436]
Predicted rank: [0], ambiguousness: [[0.7024153 0.2975847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.3796909473036]
Predicted rank: [0], ambiguousness: [[0.69666797 0.30333203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.80261652398057]
Predicted rank: [0], ambiguousness: [[0.58895314 0.4110469 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.33345650947572]
Predicted rank: [0], ambiguousness: [[0.73431563 0.26568434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.93388226942628]
Predicted rank: [0], ambiguousness: [[0.7583629  0.24163711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.31519813645215]
Predicted rank: [0], ambiguousness: [[0.8255824  0.17441763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.45003991552845]
Predicted rank: [0], ambiguousness: [[0.8344563  0.16554365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.80262777890968]
Predicted rank: [0], ambiguousness: [[0.721616   0.27838394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.97064666932884]
Predicted rank: [0], ambiguousness: [[0.7393782  0.26062182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.13466987376592]
Predicted rank: [0], ambiguousness: [[0.7786529  0.22134712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.52289562607268]
Predicted rank: [0], ambiguousness: [[0.7493472 0.2506528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.26559681476532]
Predicted rank: [0], ambiguousness: [[0.7052119  0.29478812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.66453785782184]
Predicted rank: [0], ambiguousness: [[0.67365813 0.32634187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.72787765888341]
Predicted rank: [0], ambiguousness: [[0.66837573 0.33162427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.75566574375004]
Predicted rank: [0], ambiguousness: [[0.8441003  0.15589969]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.4822767137556]
Predicted rank: [0], ambiguousness: [[0.7519709  0.24802913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.19661883565507]
Predicted rank: [0], ambiguousness: [[0.7667725  0.23322752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.34436989524744]
Predicted rank: [0], ambiguousness: [[0.6931615  0.30683854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.43777725264322]
Predicted rank: [0], ambiguousness: [[0.72506464 0.2749354 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.86147522998095]
Predicted rank: [0], ambiguousness: [[0.63693345 0.36306655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.26368592976169]
Predicted rank: [0], ambiguousness: [[0.7222843  0.27771568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.88750488902826]
Predicted rank: [0], ambiguousness: [[0.73244727 0.2675527 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.27978454338977]
Predicted rank: [0], ambiguousness: [[0.8158001  0.18419996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.4160423063544]
Predicted rank: [0], ambiguousness: [[0.83235055 0.16764945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.7664033050485]
Predicted rank: [0], ambiguousness: [[0.7374458  0.26255423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.96940202773634]
Predicted rank: [0], ambiguousness: [[0.7182967 0.2817033]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.13349573575366]
Predicted rank: [0], ambiguousness: [[0.7552116  0.24478844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.52178886228735]
Predicted rank: [0], ambiguousness: [[0.74255943 0.2574406 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.26439884458671]
Predicted rank: [0], ambiguousness: [[0.68464446 0.31535557]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.66340770560123]
Predicted rank: [0], ambiguousness: [[0.672364 0.327636]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.7267757922632]
Predicted rank: [0], ambiguousness: [[0.6616036  0.33839637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.75456925476766]
Predicted rank: [0], ambiguousness: [[0.81964386 0.18035617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.38379728716717]
Predicted rank: [0], ambiguousness: [[0.7539615  0.24603851]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.67778855859133]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.18138079514061]
Predicted rank: [0], ambiguousness: [[0.80825233 0.19174767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.32442288561742]
Predicted rank: [0], ambiguousness: [[0.8255713  0.17442869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.66691693901004]
Predicted rank: [0], ambiguousness: [[0.7226367 0.2773633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.64233684326018]
Predicted rank: [0], ambiguousness: [[0.64804804 0.351952  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.90502769930032]
Predicted rank: [0], ambiguousness: [[0.7470654  0.25293458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.19104829522679]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.26374480813722]
Predicted rank: [0], ambiguousness: [[0.81882215 0.18117782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.58700875931746]
Predicted rank: [0], ambiguousness: [[0.808276   0.19172402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.69074456885278]
Predicted rank: [0], ambiguousness: [[0.81467104 0.18532893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.73213476737502]
Predicted rank: [0], ambiguousness: [[0.8991737  0.10082632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.90943704176684]
Predicted rank: [0], ambiguousness: [[0.69284546 0.30715457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.26110230037372]
Predicted rank: [0], ambiguousness: [[0.71535194 0.28464806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.40690537166336]
Predicted rank: [0], ambiguousness: [[0.76367587 0.23632412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.44775199929222]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.5114534582391]
Predicted rank: [0], ambiguousness: [[0.6669195  0.33308047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.58411302804726]
Predicted rank: [0], ambiguousness: [[0.8842021  0.11579785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.61793155224305]
Predicted rank: [0], ambiguousness: [[0.67739165 0.32260832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.49212864862349]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.41555256612403]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.50405695014256]
Predicted rank: [0], ambiguousness: [[0.70392966 0.29607034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.18516816991492]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.33295947988523]
Predicted rank: [0], ambiguousness: [[0.662009 0.337991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.42635615573346]
Predicted rank: [0], ambiguousness: [[0.66494584 0.3350542 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.84996802261352]
Predicted rank: [0], ambiguousness: [[0.5403904  0.45960966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.38763779398973]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.37701011083394]
Predicted rank: [0], ambiguousness: [[0.7268973 0.2731027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.11297919071615]
Predicted rank: [0], ambiguousness: [[0.72053206 0.27946797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.26160413437185]
Predicted rank: [0], ambiguousness: [[0.66734254 0.33265743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.35534604851671]
Predicted rank: [0], ambiguousness: [[0.6648148  0.33518523]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.778233981135]
Predicted rank: [0], ambiguousness: [[0.5530455  0.44695452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.31138524210047]
Predicted rank: [0], ambiguousness: [[0.70970166 0.29029834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91191869660034]
Predicted rank: [0], ambiguousness: [[0.72317994 0.27682003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.2934067264238]
Predicted rank: [0], ambiguousness: [[0.80065954 0.19934048]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.4282788565349]
Predicted rank: [0], ambiguousness: [[0.81680524 0.18319476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.78081038833254]
Predicted rank: [0], ambiguousness: [[0.69865286 0.30134717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.94934707621756]
Predicted rank: [0], ambiguousness: [[0.69916505 0.30083495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.11338970168731]
Predicted rank: [0], ambiguousness: [[0.74543256 0.25456744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.50159147694642]
Predicted rank: [0], ambiguousness: [[0.7133478  0.28665224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.24433830123816]
Predicted rank: [0], ambiguousness: [[0.66570145 0.33429855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.64325761746807]
Predicted rank: [0], ambiguousness: [[0.6284009  0.37159905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.70660567367409]
Predicted rank: [0], ambiguousness: [[0.6265427 0.3734573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.73439658793035]
Predicted rank: [0], ambiguousness: [[0.8184118  0.18158819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.37127566273426]
Predicted rank: [0], ambiguousness: [[0.72877824 0.2712218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.10746091767747]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.25604312744665]
Predicted rank: [0], ambiguousness: [[0.6694471  0.33055288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.34976789249589]
Predicted rank: [0], ambiguousness: [[0.6761526  0.32384744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.77269346917288]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.15000966323517]
Predicted rank: [0], ambiguousness: [[0.7121935  0.28780648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.78068154900424]
Predicted rank: [0], ambiguousness: [[0.7102452 0.2897548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.1806285492227]
Predicted rank: [0], ambiguousness: [[0.8016863  0.19831374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.31814802130228]
Predicted rank: [0], ambiguousness: [[0.82529163 0.17470837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.66616801241278]
Predicted rank: [0], ambiguousness: [[0.7211788  0.27882117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.89185904188264]
Predicted rank: [0], ambiguousness: [[0.6920134 0.3079866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.05665116295043]
Predicted rank: [0], ambiguousness: [[0.73421305 0.26578695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.44402693979099]
Predicted rank: [0], ambiguousness: [[0.7119886  0.28801137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.1883486823105]
Predicted rank: [0], ambiguousness: [[0.66031516 0.33968484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.58652205711178]
Predicted rank: [0], ambiguousness: [[0.6338257  0.36617428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.6501882060531]
Predicted rank: [0], ambiguousness: [[0.6262579  0.37374207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.67808586550973]
Predicted rank: [0], ambiguousness: [[0.8027287 0.1972713]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.30418184039465]
Predicted rank: [0], ambiguousness: [[0.73670125 0.26329875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.59003153509096]
Predicted rank: [0], ambiguousness: [[0.7204193 0.2795807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.1018111091839]
Predicted rank: [0], ambiguousness: [[0.79476714 0.20523283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.2459221375922]
Predicted rank: [0], ambiguousness: [[0.81543934 0.18456064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.58651121958388]
Predicted rank: [0], ambiguousness: [[0.69952047 0.3004795 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.56227957658876]
Predicted rank: [0], ambiguousness: [[0.61418545 0.38581458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.82702114955813]
Predicted rank: [0], ambiguousness: [[0.7218128  0.27818722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.11087549316997]
Predicted rank: [0], ambiguousness: [[0.71052825 0.28947172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.18999558532704]
Predicted rank: [0], ambiguousness: [[0.80440176 0.19559821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.51157312395593]
Predicted rank: [0], ambiguousness: [[0.78325945 0.21674055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.61608514116337]
Predicted rank: [0], ambiguousness: [[0.79707134 0.20292869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.65773652822529]
Predicted rank: [0], ambiguousness: [[0.8938192 0.1061808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.84759932202456]
Predicted rank: [0], ambiguousness: [[0.6646098 0.3353902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.19836975674885]
Predicted rank: [0], ambiguousness: [[0.6752963 0.3247037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.34480320800645]
Predicted rank: [0], ambiguousness: [[0.73098713 0.26901287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.38578568394989]
Predicted rank: [0], ambiguousness: [[0.8949451  0.10505489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.45003720443935]
Predicted rank: [0], ambiguousness: [[0.62737745 0.37262255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.52290068048327]
Predicted rank: [0], ambiguousness: [[0.8639091  0.13609084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.55692679550226]
Predicted rank: [0], ambiguousness: [[0.6484562  0.35154378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.23931334578059]
Predicted rank: [0], ambiguousness: [[0.7234127 0.2765873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.8680316885943]
Predicted rank: [0], ambiguousness: [[0.7296787 0.2703213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.26089334667333]
Predicted rank: [0], ambiguousness: [[0.7946168 0.2053832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.39721325821395]
Predicted rank: [0], ambiguousness: [[0.838869   0.16113105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.74747665382236]
Predicted rank: [0], ambiguousness: [[0.7524516  0.24754842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.95198085282328]
Predicted rank: [0], ambiguousness: [[0.6825823  0.31741768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.1160745608406]
Predicted rank: [0], ambiguousness: [[0.7603042 0.2396958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.5043676873743]
Predicted rank: [0], ambiguousness: [[0.7516631  0.24833693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.24697766967364]
Predicted rank: [0], ambiguousness: [[0.7050623  0.29493767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.64598653068819]
Predicted rank: [0], ambiguousness: [[0.64812374 0.3518763 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.70935461735014]
Predicted rank: [0], ambiguousness: [[0.68145394 0.31854603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.73714807985462]
Predicted rank: [0], ambiguousness: [[0.82681936 0.17318065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.21860931672941]
Predicted rank: [0], ambiguousness: [[0.71845853 0.2815415 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.48051116731284]
Predicted rank: [0], ambiguousness: [[0.6920865  0.30791348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.02807496533558]
Predicted rank: [0], ambiguousness: [[0.77681357 0.22318642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.17514465034697]
Predicted rank: [0], ambiguousness: [[0.8069575 0.1930425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.51154019281307]
Predicted rank: [0], ambiguousness: [[0.7078649 0.2921351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.51048082712694]
Predicted rank: [0], ambiguousness: [[0.58861166 0.41138834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.77966287185768]
Predicted rank: [0], ambiguousness: [[0.69471204 0.305288  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.05982328935565]
Predicted rank: [0], ambiguousness: [[0.70310575 0.29689425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.1536679062222]
Predicted rank: [0], ambiguousness: [[0.8073771  0.19262291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.47280622850924]
Predicted rank: [0], ambiguousness: [[0.78903264 0.21096738]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.57875076053813]
Predicted rank: [0], ambiguousness: [[0.81057537 0.18942465]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.62085900507398]
Predicted rank: [0], ambiguousness: [[0.88808227 0.1119177 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.84633486474011]
Predicted rank: [0], ambiguousness: [[0.6347562  0.36524382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.19717266539594]
Predicted rank: [0], ambiguousness: [[0.67400557 0.32599443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.34370138702367]
Predicted rank: [0], ambiguousness: [[0.7249675  0.27503255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.384690669238]
Predicted rank: [0], ambiguousness: [[0.8773054 0.1226946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.44889848762296]
Predicted rank: [0], ambiguousness: [[0.62826246 0.37173754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.52178045153086]
Predicted rank: [0], ambiguousness: [[0.84592116 0.15407881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.55583844992086]
Predicted rank: [0], ambiguousness: [[0.6167107  0.38328928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.63132794022212]
Predicted rank: [0], ambiguousness: [[0.7106925  0.28930745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.1532006468519]
Predicted rank: [0], ambiguousness: [[0.8496497  0.15035027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.29655555304711]
Predicted rank: [0], ambiguousness: [[0.8212913 0.1787087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.63866763631242]
Predicted rank: [0], ambiguousness: [[0.72948104 0.27051896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.25105620263506]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.5632862762529]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 106.8220764383316]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.05109613670733]
Predicted rank: [0], ambiguousness: [[0.7897858  0.21021418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.36156694668604]
Predicted rank: [0], ambiguousness: [[0.7752356  0.22476439]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.47465694656813]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.51890723459087]
Predicted rank: [0], ambiguousness: [[0.88900334 0.11099667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.4704230711221]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 106.70139849160688]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 106.95554648266932]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.02207769604033]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.31226941266644]
Predicted rank: [0], ambiguousness: [[0.78553975 0.21446027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.41921903483819]
Predicted rank: [0], ambiguousness: [[0.9211184 0.0788816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.48851712663284]
Predicted rank: [0], ambiguousness: [[0.80336607 0.19663393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.99041575371035]
Predicted rank: [0], ambiguousness: [[0.6370741 0.3629259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.0982639071554]
Predicted rank: [0], ambiguousness: [[0.88091636 0.11908361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.21350612927577]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.30522973719144]
Predicted rank: [0], ambiguousness: [[0.63200825 0.36799175]]
Running local search 5
Switching 5 patient(s). Size of neighborhood: 15504
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.5967312049045]
Predicted rank: [0], ambiguousness: [[0.75307965 0.24692038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.50506488445805]
Predicted rank: [0], ambiguousness: [[0.74674547 0.25325456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.079619162977]
Predicted rank: [0], ambiguousness: [[0.8494763 0.1505237]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.18674204377936]
Predicted rank: [0], ambiguousness: [[0.85162055 0.14837943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.41201453525332]
Predicted rank: [0], ambiguousness: [[0.79221046 0.20778957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.54856743474777]
Predicted rank: [0], ambiguousness: [[0.8216429  0.17835715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.74946375301383]
Predicted rank: [0], ambiguousness: [[0.6209859  0.37901407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.62862511391805]
Predicted rank: [0], ambiguousness: [[0.76454246 0.23545754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.03961902114384]
Predicted rank: [0], ambiguousness: [[0.8470628  0.15293719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.20268106651167]
Predicted rank: [0], ambiguousness: [[0.8440129  0.15598707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.42770921818845]
Predicted rank: [0], ambiguousness: [[0.7823353 0.2176647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.56421797680781]
Predicted rank: [0], ambiguousness: [[0.8136593  0.18634072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.76543801280397]
Predicted rank: [0], ambiguousness: [[0.6125195  0.38748047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.9095257163597]
Predicted rank: [0], ambiguousness: [[0.84300244 0.15699753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.31732904429079]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.90819016739479]
Predicted rank: [0], ambiguousness: [[0.88091904 0.11908094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.10881195833596]
Predicted rank: [0], ambiguousness: [[0.9073463  0.09265371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.19839650888028]
Predicted rank: [0], ambiguousness: [[0.7579829 0.2420171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.95787324319294]
Predicted rank: [0], ambiguousness: [[0.83056104 0.16943899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.19915853899383]
Predicted rank: [0], ambiguousness: [[0.857398   0.14260203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.34826882744623]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.39909265513421]
Predicted rank: [0], ambiguousness: [[0.78601086 0.21398912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.56510376415562]
Predicted rank: [0], ambiguousness: [[0.6989081  0.30109188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.6598915047081]
Predicted rank: [0], ambiguousness: [[0.6938487 0.3061513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.70099441085267]
Predicted rank: [0], ambiguousness: [[0.85353917 0.14646085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.57432968439835]
Predicted rank: [0], ambiguousness: [[0.6683601 0.3316399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.4492307752972]
Predicted rank: [0], ambiguousness: [[0.6736429  0.32635713]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.02965143669451]
Predicted rank: [0], ambiguousness: [[0.7901791  0.20982091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.13788091804952]
Predicted rank: [0], ambiguousness: [[0.7947776  0.20522243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.3632062593058]
Predicted rank: [0], ambiguousness: [[0.7200886 0.2799114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.4997795030203]
Predicted rank: [0], ambiguousness: [[0.756598   0.24340202]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.70062806808716]
Predicted rank: [0], ambiguousness: [[0.59055895 0.40944105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.4464617472311]
Predicted rank: [0], ambiguousness: [[0.67572695 0.32427305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.83664918566758]
Predicted rank: [0], ambiguousness: [[0.79124576 0.20875426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.04388882789362]
Predicted rank: [0], ambiguousness: [[0.78921366 0.21078637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.27068000903976]
Predicted rank: [0], ambiguousness: [[0.7132304  0.28676966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.40786520694883]
Predicted rank: [0], ambiguousness: [[0.75133824 0.24866177]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.60741259065387]
Predicted rank: [0], ambiguousness: [[0.58895314 0.4110469 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.74680043187433]
Predicted rank: [0], ambiguousness: [[0.7926911  0.20730892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.15576215564388]
Predicted rank: [0], ambiguousness: [[0.79252607 0.20747392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.75572889072993]
Predicted rank: [0], ambiguousness: [[0.8438539  0.15614611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.95804181239461]
Predicted rank: [0], ambiguousness: [[0.87458694 0.12541308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.04426476607495]
Predicted rank: [0], ambiguousness: [[0.721616   0.27838394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.83017972805706]
Predicted rank: [0], ambiguousness: [[0.77731586 0.22268413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.07270656986753]
Predicted rank: [0], ambiguousness: [[0.8106637  0.18933633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.22010572019576]
Predicted rank: [0], ambiguousness: [[0.7493472 0.2506528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.27408183436097]
Predicted rank: [0], ambiguousness: [[0.72342795 0.27657205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.43853133646698]
Predicted rank: [0], ambiguousness: [[0.67365813 0.32634187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.53384900586124]
Predicted rank: [0], ambiguousness: [[0.66837573 0.33162427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.57513811826018]
Predicted rank: [0], ambiguousness: [[0.8441003  0.15589969]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.00449036513325]
Predicted rank: [0], ambiguousness: [[0.80024767 0.19975235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.17018541589184]
Predicted rank: [0], ambiguousness: [[0.80480635 0.19519362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.39521356756863]
Predicted rank: [0], ambiguousness: [[0.7041712  0.29582882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.53172232618799]
Predicted rank: [0], ambiguousness: [[0.77626055 0.22373946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.73294236218413]
Predicted rank: [0], ambiguousness: [[0.63693345 0.36306655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.6427952093174]
Predicted rank: [0], ambiguousness: [[0.7828325  0.21716748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.09363819572832]
Predicted rank: [0], ambiguousness: [[0.78266186 0.21733816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.71252527172398]
Predicted rank: [0], ambiguousness: [[0.8413671  0.15863286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.9172103128916]
Predicted rank: [0], ambiguousness: [[0.8731174  0.12688263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.99972259791127]
Predicted rank: [0], ambiguousness: [[0.7374458  0.26255423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.8462151383813]
Predicted rank: [0], ambiguousness: [[0.76694113 0.23305887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.08869688312879]
Predicted rank: [0], ambiguousness: [[0.8023069 0.1976931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.23645965942933]
Predicted rank: [0], ambiguousness: [[0.74255943 0.2574406 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.28982539190781]
Predicted rank: [0], ambiguousness: [[0.7195365  0.28046352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.45461822511929]
Predicted rank: [0], ambiguousness: [[0.672364 0.327636]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.54991360352443]
Predicted rank: [0], ambiguousness: [[0.6616036  0.33839637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.59118674015755]
Predicted rank: [0], ambiguousness: [[0.81964386 0.18035617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.86317114372342]
Predicted rank: [0], ambiguousness: [[0.80914235 0.19085766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.76717330500654]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.56822506096265]
Predicted rank: [0], ambiguousness: [[0.82796097 0.172039  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.78378896416162]
Predicted rank: [0], ambiguousness: [[0.86751384 0.13248618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.85365645697436]
Predicted rank: [0], ambiguousness: [[0.7226367 0.2773633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.7631536658285]
Predicted rank: [0], ambiguousness: [[0.6937741 0.3062259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.16258049799674]
Predicted rank: [0], ambiguousness: [[0.78236747 0.2176325 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.14551725139546]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.7273656785049]
Predicted rank: [0], ambiguousness: [[0.8426299  0.15737009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.77031146111776]
Predicted rank: [0], ambiguousness: [[0.808276   0.19172402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.92930871583674]
Predicted rank: [0], ambiguousness: [[0.81467104 0.18532893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.99202070941152]
Predicted rank: [0], ambiguousness: [[0.8991737  0.10082632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.78232824520666]
Predicted rank: [0], ambiguousness: [[0.7422695  0.25773048]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.87561064120081]
Predicted rank: [0], ambiguousness: [[0.71535194 0.28464806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.09467852535454]
Predicted rank: [0], ambiguousness: [[0.76367587 0.23632412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.15527417999368]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.25966204662396]
Predicted rank: [0], ambiguousness: [[0.6669195  0.33308047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.36609201182691]
Predicted rank: [0], ambiguousness: [[0.8842021  0.11579785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.4195566006741]
Predicted rank: [0], ambiguousness: [[0.67739165 0.32260832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.56532540618356]
Predicted rank: [0], ambiguousness: [[0.70400333 0.29599667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.42659596524852]
Predicted rank: [0], ambiguousness: [[0.71083117 0.28916886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.00736690028691]
Predicted rank: [0], ambiguousness: [[0.8164944 0.1835056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.11559638164191]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.3409217228982]
Predicted rank: [0], ambiguousness: [[0.74789166 0.2521083 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.47749496661271]
Predicted rank: [0], ambiguousness: [[0.7845862 0.2154138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.67834353167956]
Predicted rank: [0], ambiguousness: [[0.5403904  0.45960966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.37501503642378]
Predicted rank: [0], ambiguousness: [[0.7109208  0.28907916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.77545771385871]
Predicted rank: [0], ambiguousness: [[0.82631445 0.17368554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.988014526512]
Predicted rank: [0], ambiguousness: [[0.8229373  0.17706268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.21490574893753]
Predicted rank: [0], ambiguousness: [[0.7523769  0.24762307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.35213131050781]
Predicted rank: [0], ambiguousness: [[0.78950536 0.21049462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.55158859980978]
Predicted rank: [0], ambiguousness: [[0.5530455  0.44695452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.6962065586482]
Predicted rank: [0], ambiguousness: [[0.8206311  0.17936891]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.1054104075915]
Predicted rank: [0], ambiguousness: [[0.8204833  0.17951669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.70577974256224]
Predicted rank: [0], ambiguousness: [[0.8611736  0.13882637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.90816375670994]
Predicted rank: [0], ambiguousness: [[0.8929796  0.10702039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.99425238269029]
Predicted rank: [0], ambiguousness: [[0.69865286 0.30134717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.78137829784237]
Predicted rank: [0], ambiguousness: [[0.8043203  0.19567974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.02395064916865]
Predicted rank: [0], ambiguousness: [[0.8366805  0.16331953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.17129263748707]
Predicted rank: [0], ambiguousness: [[0.7133478  0.28665224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.22537640580839]
Predicted rank: [0], ambiguousness: [[0.7578513 0.2421487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.38977406493424]
Predicted rank: [0], ambiguousness: [[0.6284009  0.37159905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.48511106691177]
Predicted rank: [0], ambiguousness: [[0.6265427 0.3734573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.5264067951157]
Predicted rank: [0], ambiguousness: [[0.8184118  0.18158819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.77318140269774]
Predicted rank: [0], ambiguousness: [[0.82767296 0.17232701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.9854026747652]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.21219385591135]
Predicted rank: [0], ambiguousness: [[0.7541417  0.24585828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.3493790538204]
Predicted rank: [0], ambiguousness: [[0.79790753 0.20209247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.54892643752547]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.40565675144865]
Predicted rank: [0], ambiguousness: [[0.8156054  0.18439457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.87070026554642]
Predicted rank: [0], ambiguousness: [[0.8154544  0.18454556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.50594513805817]
Predicted rank: [0], ambiguousness: [[0.8619424  0.13805756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.71332420785129]
Predicted rank: [0], ambiguousness: [[0.89410836 0.10589167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.79075005507048]
Predicted rank: [0], ambiguousness: [[0.7211788  0.27882117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.6856505271734]
Predicted rank: [0], ambiguousness: [[0.7989496  0.20105042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.92962092709551]
Predicted rank: [0], ambiguousness: [[0.83276874 0.16723128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.07539600840744]
Predicted rank: [0], ambiguousness: [[0.7119886  0.28801137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.1324339821987]
Predicted rank: [0], ambiguousness: [[0.7589198  0.24108022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.2954150946311]
Predicted rank: [0], ambiguousness: [[0.6338257  0.36617428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.39134524921207]
Predicted rank: [0], ambiguousness: [[0.6262579  0.37374207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.43283984452279]
Predicted rank: [0], ambiguousness: [[0.8027287 0.1972713]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.69745066986462]
Predicted rank: [0], ambiguousness: [[0.83964473 0.16035528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.5840086648061]
Predicted rank: [0], ambiguousness: [[0.8184494  0.18155059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.40248407600639]
Predicted rank: [0], ambiguousness: [[0.85675    0.14324999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.62032495382942]
Predicted rank: [0], ambiguousness: [[0.89210665 0.10789332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.68606259357975]
Predicted rank: [0], ambiguousness: [[0.69952047 0.3004795 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.59624171613547]
Predicted rank: [0], ambiguousness: [[0.7379099  0.26209012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.00003833813253]
Predicted rank: [0], ambiguousness: [[0.8194767  0.18052329]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.97827811988971]
Predicted rank: [0], ambiguousness: [[0.71052825 0.28947172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.57387427959483]
Predicted rank: [0], ambiguousness: [[0.86826175 0.13173826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.6131602267817]
Predicted rank: [0], ambiguousness: [[0.78325945 0.21674055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.77380959912458]
Predicted rank: [0], ambiguousness: [[0.79707134 0.20292869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.83707722816321]
Predicted rank: [0], ambiguousness: [[0.8938192 0.1061808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.65411704498744]
Predicted rank: [0], ambiguousness: [[0.7843312  0.21566883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.7454595327313]
Predicted rank: [0], ambiguousness: [[0.6752963 0.3247037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.965870630372]
Predicted rank: [0], ambiguousness: [[0.73098713 0.26901287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.02675490357]
Predicted rank: [0], ambiguousness: [[0.8949451  0.10505489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.13230712015334]
Predicted rank: [0], ambiguousness: [[0.62737745 0.37262255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.23917182921342]
Predicted rank: [0], ambiguousness: [[0.8639091  0.13609084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.29307668087257]
Predicted rank: [0], ambiguousness: [[0.6484562  0.35154378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.59723628885453]
Predicted rank: [0], ambiguousness: [[0.82379085 0.17620915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.0573558964079]
Predicted rank: [0], ambiguousness: [[0.82952535 0.17047462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.6773533470094]
Predicted rank: [0], ambiguousness: [[0.8566369  0.14336313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.88215708587614]
Predicted rank: [0], ambiguousness: [[0.90296644 0.09703358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.96447950149141]
Predicted rank: [0], ambiguousness: [[0.7524516  0.24754842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.81383647186001]
Predicted rank: [0], ambiguousness: [[0.7918079  0.20819211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.05631821660751]
Predicted rank: [0], ambiguousness: [[0.8511466  0.14885345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.20408099290803]
Predicted rank: [0], ambiguousness: [[0.7516631  0.24833693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25744672538653]
Predicted rank: [0], ambiguousness: [[0.7947159 0.2052841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.42223955859802]
Predicted rank: [0], ambiguousness: [[0.64812374 0.3518763 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.51753493700315]
Predicted rank: [0], ambiguousness: [[0.68145394 0.31854603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.55880807363627]
Predicted rank: [0], ambiguousness: [[0.82681936 0.17318065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.56557349454425]
Predicted rank: [0], ambiguousness: [[0.8268581  0.17314191]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.40971497884361]
Predicted rank: [0], ambiguousness: [[0.80952144 0.19047855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.29161082131088]
Predicted rank: [0], ambiguousness: [[0.84935886 0.15064114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.51458535134363]
Predicted rank: [0], ambiguousness: [[0.8868428  0.11315721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.57302235159631]
Predicted rank: [0], ambiguousness: [[0.7078649 0.2921351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.52488269552369]
Predicted rank: [0], ambiguousness: [[0.72634554 0.27365443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 104.93626284288516]
Predicted rank: [0], ambiguousness: [[0.8114184  0.18858156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.90821712585962]
Predicted rank: [0], ambiguousness: [[0.70310575 0.29689425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.52914877159195]
Predicted rank: [0], ambiguousness: [[0.87062895 0.12937102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.56435648781945]
Predicted rank: [0], ambiguousness: [[0.78903264 0.21096738]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.72741433314064]
Predicted rank: [0], ambiguousness: [[0.81057537 0.18942465]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.79144640232767]
Predicted rank: [0], ambiguousness: [[0.88808227 0.1119177 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.67020492558936]
Predicted rank: [0], ambiguousness: [[0.77513456 0.22486542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.76194234277042]
Predicted rank: [0], ambiguousness: [[0.67400557 0.32599443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.98233998313893]
Predicted rank: [0], ambiguousness: [[0.7249675  0.27503255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.0431965860524]
Predicted rank: [0], ambiguousness: [[0.8773054 0.1226946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.14850373218098]
Predicted rank: [0], ambiguousness: [[0.62826246 0.37173754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.25534188852404]
Predicted rank: [0], ambiguousness: [[0.84592116 0.15407881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.30924359599305]
Predicted rank: [0], ambiguousness: [[0.6167107  0.38328928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.68875721218282]
Predicted rank: [0], ambiguousness: [[0.8112396  0.18876038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.52126522118877]
Predicted rank: [0], ambiguousness: [[0.9033459  0.09665414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.73736381400747]
Predicted rank: [0], ambiguousness: [[0.89583814 0.10416183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.80656414734003]
Predicted rank: [0], ambiguousness: [[0.72948104 0.27051896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.11712969139585]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 104.59900596203437]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.5357414127593]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.37818090650882]
Predicted rank: [0], ambiguousness: [[0.85757273 0.14242725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.39940339661396]
Predicted rank: [0], ambiguousness: [[0.7752356  0.22476439]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.57394911021123]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.64142474319826]
Predicted rank: [0], ambiguousness: [[0.88900334 0.11099667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.50981451640993]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.40776801024158]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 103.79984186681034]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 103.90119956126892]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.36852341112541]
Predicted rank: [0], ambiguousness: [[0.78553975 0.21446027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.52928873386566]
Predicted rank: [0], ambiguousness: [[0.9211184 0.0788816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.63870753445033]
Predicted rank: [0], ambiguousness: [[0.80336607 0.19663393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.48531740230709]
Predicted rank: [0], ambiguousness: [[0.6370741 0.3629259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.64454008370046]
Predicted rank: [0], ambiguousness: [[0.88091636 0.11908361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.82047216101361]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.96767654265032]
Predicted rank: [0], ambiguousness: [[0.63200825 0.36799175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.99533268672826]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.92446291830251]
Predicted rank: [0], ambiguousness: [[0.6437398 0.3562602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.0128268325927]
Predicted rank: [0], ambiguousness: [[0.77108574 0.22891423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.69393805236507]
Predicted rank: [0], ambiguousness: [[0.7856127  0.21438733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.84172936233537]
Predicted rank: [0], ambiguousness: [[0.7376535  0.26234648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.93512603818363]
Predicted rank: [0], ambiguousness: [[0.7371062  0.26289377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.35873790506369]
Predicted rank: [0], ambiguousness: [[0.6242163 0.3757837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.91887762400125]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.90367140070711]
Predicted rank: [0], ambiguousness: [[0.7801944 0.2198056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6373809819826]
Predicted rank: [0], ambiguousness: [[0.7746863  0.22531371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.78596319175178]
Predicted rank: [0], ambiguousness: [[0.7310649  0.26893505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.879687956801]
Predicted rank: [0], ambiguousness: [[0.72565484 0.27434516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.302613533478]
Predicted rank: [0], ambiguousness: [[0.62265813 0.3773419 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.83345351897314]
Predicted rank: [0], ambiguousness: [[0.771813   0.22818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.4338792789237]
Predicted rank: [0], ambiguousness: [[0.78328806 0.21671194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.81519514594956]
Predicted rank: [0], ambiguousness: [[0.84954566 0.15045433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.95003692502587]
Predicted rank: [0], ambiguousness: [[0.8605052 0.1394948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.30262478840709]
Predicted rank: [0], ambiguousness: [[0.7623365  0.23766348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.47064367882626]
Predicted rank: [0], ambiguousness: [[0.76565653 0.23434348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.63466688326335]
Predicted rank: [0], ambiguousness: [[0.8020315  0.19796851]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.02289263557009]
Predicted rank: [0], ambiguousness: [[0.77492636 0.22507364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.76559382426274]
Predicted rank: [0], ambiguousness: [[0.73369443 0.2663056 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.16453486731926]
Predicted rank: [0], ambiguousness: [[0.7039093 0.2960907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.22787466838085]
Predicted rank: [0], ambiguousness: [[0.6988977  0.30110228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.25566275324746]
Predicted rank: [0], ambiguousness: [[0.86179334 0.13820665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.982273723253]
Predicted rank: [0], ambiguousness: [[0.78954613 0.2104539 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6966158451525]
Predicted rank: [0], ambiguousness: [[0.7910692  0.20893079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.84436690474485]
Predicted rank: [0], ambiguousness: [[0.7223499  0.27765012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.93777426214064]
Predicted rank: [0], ambiguousness: [[0.75230265 0.24769734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.36147223947837]
Predicted rank: [0], ambiguousness: [[0.6689158 0.3310842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.76368293925913]
Predicted rank: [0], ambiguousness: [[0.76092684 0.23907314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.38750189852567]
Predicted rank: [0], ambiguousness: [[0.7591969  0.24080312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.7797815528872]
Predicted rank: [0], ambiguousness: [[0.8408482  0.15915176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.9160393158518]
Predicted rank: [0], ambiguousness: [[0.85867465 0.14132535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.2664003145459]
Predicted rank: [0], ambiguousness: [[0.7765677  0.22343233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.46939903723376]
Predicted rank: [0], ambiguousness: [[0.74597037 0.25402963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.63349274525108]
Predicted rank: [0], ambiguousness: [[0.78036773 0.2196323 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.02178587178477]
Predicted rank: [0], ambiguousness: [[0.7686174  0.23138261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.76439585408411]
Predicted rank: [0], ambiguousness: [[0.7143091 0.2856909]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.16340471509865]
Predicted rank: [0], ambiguousness: [[0.7026822 0.2973178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.22677280176063]
Predicted rank: [0], ambiguousness: [[0.6924621 0.3075379]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.2545662642651]
Predicted rank: [0], ambiguousness: [[0.83958495 0.16041504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.8837942966646]
Predicted rank: [0], ambiguousness: [[0.78948104 0.21051896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.17778556808875]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.68137780463802]
Predicted rank: [0], ambiguousness: [[0.8376221  0.16237788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.82441989511483]
Predicted rank: [0], ambiguousness: [[0.8527716  0.14722842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.16691394850746]
Predicted rank: [0], ambiguousness: [[0.76124644 0.23875359]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.1423338527576]
Predicted rank: [0], ambiguousness: [[0.6795439 0.3204561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.40502470879775]
Predicted rank: [0], ambiguousness: [[0.77280676 0.22719322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.69104530472421]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.76374181763464]
Predicted rank: [0], ambiguousness: [[0.8435382  0.15646178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.08700576881488]
Predicted rank: [0], ambiguousness: [[0.83413935 0.16586068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.19074157835018]
Predicted rank: [0], ambiguousness: [[0.84324837 0.15675162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.23213177687245]
Predicted rank: [0], ambiguousness: [[0.91691244 0.08308756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.40943405126424]
Predicted rank: [0], ambiguousness: [[0.72205186 0.27794814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.76109930987113]
Predicted rank: [0], ambiguousness: [[0.74321145 0.25678855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.90690238116076]
Predicted rank: [0], ambiguousness: [[0.7882061  0.21179391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.94774900878963]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.01145046773652]
Predicted rank: [0], ambiguousness: [[0.6975149 0.3024851]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.08411003754469]
Predicted rank: [0], ambiguousness: [[0.89789456 0.10210545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.11792856174046]
Predicted rank: [0], ambiguousness: [[0.70744705 0.29255295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.992096276955]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.91552078896567]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.00402517298417]
Predicted rank: [0], ambiguousness: [[0.72937036 0.27062964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.68513639275655]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.83292770272686]
Predicted rank: [0], ambiguousness: [[0.70794463 0.29205537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.92632437857509]
Predicted rank: [0], ambiguousness: [[0.7073599 0.2926401]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.34993624545515]
Predicted rank: [0], ambiguousness: [[0.5888219  0.41117814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.88760601683134]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.87697833367557]
Predicted rank: [0], ambiguousness: [[0.7510624 0.2489376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.61294741355778]
Predicted rank: [0], ambiguousness: [[0.75846547 0.24153452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.76157235721348]
Predicted rank: [0], ambiguousness: [[0.71286774 0.2871323 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.85531427135831]
Predicted rank: [0], ambiguousness: [[0.7072381 0.2927619]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.27820220397663]
Predicted rank: [0], ambiguousness: [[0.60112774 0.3988723 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.8113534649421]
Predicted rank: [0], ambiguousness: [[0.73698926 0.26301077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41188691944197]
Predicted rank: [0], ambiguousness: [[0.76087326 0.23912674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.79337494926543]
Predicted rank: [0], ambiguousness: [[0.8275532 0.1724468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.92824707937653]
Predicted rank: [0], ambiguousness: [[0.83634675 0.16365322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.28077861117417]
Predicted rank: [0], ambiguousness: [[0.7243694  0.27563056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.4493152990592]
Predicted rank: [0], ambiguousness: [[0.7420187  0.25798133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.61335792452894]
Predicted rank: [0], ambiguousness: [[0.78101337 0.21898666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.00155969978803]
Predicted rank: [0], ambiguousness: [[0.7519206  0.24807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.74430652407978]
Predicted rank: [0], ambiguousness: [[0.7080619  0.29193813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.1432258403097]
Predicted rank: [0], ambiguousness: [[0.6766733 0.3233267]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.20657389651572]
Predicted rank: [0], ambiguousness: [[0.67141587 0.32858413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.23436481077198]
Predicted rank: [0], ambiguousness: [[0.84590095 0.15409906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.8712438855759]
Predicted rank: [0], ambiguousness: [[0.7528335  0.24716654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6074291405191]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.75601135028828]
Predicted rank: [0], ambiguousness: [[0.7148074  0.28519264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.8497361153375]
Predicted rank: [0], ambiguousness: [[0.7177502 0.2822498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.27266169201448]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.64997788607678]
Predicted rank: [0], ambiguousness: [[0.7393329  0.26066712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.28064977184587]
Predicted rank: [0], ambiguousness: [[0.74908864 0.25091133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.68059677206433]
Predicted rank: [0], ambiguousness: [[0.8284711  0.17152889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.81811624414391]
Predicted rank: [0], ambiguousness: [[0.8441007 0.1558993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.16613623525441]
Predicted rank: [0], ambiguousness: [[0.7456728  0.25432715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.39182726472426]
Predicted rank: [0], ambiguousness: [[0.7355004 0.2644996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.55661938579206]
Predicted rank: [0], ambiguousness: [[0.77088    0.22912005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.9439951626326]
Predicted rank: [0], ambiguousness: [[0.75068045 0.24931957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.68831690515213]
Predicted rank: [0], ambiguousness: [[0.70305365 0.29694635]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.0864902799534]
Predicted rank: [0], ambiguousness: [[0.6817503 0.3182497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.15015642889473]
Predicted rank: [0], ambiguousness: [[0.6711474 0.3288526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.17805408835136]
Predicted rank: [0], ambiguousness: [[0.8321049  0.16789508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.80415006323626]
Predicted rank: [0], ambiguousness: [[0.7623009  0.23769909]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.08999975793259]
Predicted rank: [0], ambiguousness: [[0.7583629  0.24163711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.6017793320255]
Predicted rank: [0], ambiguousness: [[0.81851614 0.18148388]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.74589036043383]
Predicted rank: [0], ambiguousness: [[0.8350972 0.1649028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.08647944242551]
Predicted rank: [0], ambiguousness: [[0.72739744 0.27260253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.0622477994304]
Predicted rank: [0], ambiguousness: [[0.66331506 0.33668494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.32698937239975]
Predicted rank: [0], ambiguousness: [[0.7596304  0.24036963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.6108437160116]
Predicted rank: [0], ambiguousness: [[0.7493472 0.2506528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.68996380816867]
Predicted rank: [0], ambiguousness: [[0.8286401  0.17135987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.01154134679756]
Predicted rank: [0], ambiguousness: [[0.8119493  0.18805069]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.116053364005]
Predicted rank: [0], ambiguousness: [[0.81824946 0.18175057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.15770475106692]
Predicted rank: [0], ambiguousness: [[0.90514183 0.09485816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.3475675448662]
Predicted rank: [0], ambiguousness: [[0.7070477  0.29295233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.69833797959048]
Predicted rank: [0], ambiguousness: [[0.72018933 0.27981067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.84477143084808]
Predicted rank: [0], ambiguousness: [[0.7679584  0.23204157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.8857539067915]
Predicted rank: [0], ambiguousness: [[0.9120929  0.08790708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.95000542728098]
Predicted rank: [0], ambiguousness: [[0.6722028  0.32779717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.02286890332488]
Predicted rank: [0], ambiguousness: [[0.890949   0.10905096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.0568950183439]
Predicted rank: [0], ambiguousness: [[0.6919908 0.3080092]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.7392815686222]
Predicted rank: [0], ambiguousness: [[0.74986565 0.25013432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.36799991143593]
Predicted rank: [0], ambiguousness: [[0.7667725  0.23322752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.76086156951496]
Predicted rank: [0], ambiguousness: [[0.8221447  0.17785533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.89718148105558]
Predicted rank: [0], ambiguousness: [[0.85647047 0.14352953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.24744487666399]
Predicted rank: [0], ambiguousness: [[0.77505517 0.22494482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.45194907566491]
Predicted rank: [0], ambiguousness: [[0.7268754 0.2731246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.61604278368223]
Predicted rank: [0], ambiguousness: [[0.7943797  0.20562027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.00433591021593]
Predicted rank: [0], ambiguousness: [[0.7866223 0.2133777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.74694589251527]
Predicted rank: [0], ambiguousness: [[0.74435055 0.25564942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.14595475352981]
Predicted rank: [0], ambiguousness: [[0.69507724 0.30492276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.20932284019177]
Predicted rank: [0], ambiguousness: [[0.72264993 0.27735004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.23711630269624]
Predicted rank: [0], ambiguousness: [[0.8532639  0.14673607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.71857753957104]
Predicted rank: [0], ambiguousness: [[0.7452184  0.25478157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.98047939015447]
Predicted rank: [0], ambiguousness: [[0.73244727 0.2675527 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.52804318817721]
Predicted rank: [0], ambiguousness: [[0.80212283 0.19787715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.6751128731886]
Predicted rank: [0], ambiguousness: [[0.82732743 0.17267258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.0115084156547]
Predicted rank: [0], ambiguousness: [[0.7352607  0.26473927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.01044904996857]
Predicted rank: [0], ambiguousness: [[0.63908416 0.36091584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.2796310946993]
Predicted rank: [0], ambiguousness: [[0.73486054 0.2651395 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.55979151219728]
Predicted rank: [0], ambiguousness: [[0.74255943 0.2574406 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.65363612906381]
Predicted rank: [0], ambiguousness: [[0.831324   0.16867599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.97277445135086]
Predicted rank: [0], ambiguousness: [[0.8171367 0.1828633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.07871898337976]
Predicted rank: [0], ambiguousness: [[0.8306436  0.16935639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.12082722791558]
Predicted rank: [0], ambiguousness: [[0.89994824 0.10005178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.34630308758173]
Predicted rank: [0], ambiguousness: [[0.67914784 0.32085213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.69714088823756]
Predicted rank: [0], ambiguousness: [[0.7190027  0.28099725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.84366960986529]
Predicted rank: [0], ambiguousness: [[0.7624973  0.23750268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.88465889207961]
Predicted rank: [0], ambiguousness: [[0.89700115 0.10299885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.94886671046459]
Predicted rank: [0], ambiguousness: [[0.6730369  0.32696313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.02174867437247]
Predicted rank: [0], ambiguousness: [[0.8760222 0.1239778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.05580667276249]
Predicted rank: [0], ambiguousness: [[0.6621282 0.3378718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.13129616306375]
Predicted rank: [0], ambiguousness: [[0.74949723 0.25050277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.65316886969353]
Predicted rank: [0], ambiguousness: [[0.8681018  0.13189822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.79652377588874]
Predicted rank: [0], ambiguousness: [[0.8404477  0.15955229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.13863585915405]
Predicted rank: [0], ambiguousness: [[0.7555498  0.24445023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.75102442547669]
Predicted rank: [0], ambiguousness: [[0.64804804 0.351952  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.06325449909451]
Predicted rank: [0], ambiguousness: [[0.7470654  0.25293458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.32204466117322]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.55106435954895]
Predicted rank: [0], ambiguousness: [[0.81154454 0.18845545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.86153516952766]
Predicted rank: [0], ambiguousness: [[0.8006779  0.19932212]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.97462516940975]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.01887545743247]
Predicted rank: [0], ambiguousness: [[0.9017696  0.09823044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.97039129396373]
Predicted rank: [0], ambiguousness: [[0.61035836 0.38964164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.20136671444851]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.45551470551095]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.52204591888196]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.81223763550805]
Predicted rank: [0], ambiguousness: [[0.8115679  0.18843211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.91918725767982]
Predicted rank: [0], ambiguousness: [[0.93552125 0.06447873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.98848534947446]
Predicted rank: [0], ambiguousness: [[0.8240323 0.1759677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.49038397655198]
Predicted rank: [0], ambiguousness: [[0.68132555 0.31867447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.59823212999702]
Predicted rank: [0], ambiguousness: [[0.90494883 0.09505115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.7134743521174]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.80519796003307]
Predicted rank: [0], ambiguousness: [[0.67656374 0.32343626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.99112745794949]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.9123137603583]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.00081814437684]
Predicted rank: [0], ambiguousness: [[0.70392966 0.29607034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.68192936414918]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.8297206741195]
Predicted rank: [0], ambiguousness: [[0.662009 0.337991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.92311734996774]
Predicted rank: [0], ambiguousness: [[0.66494584 0.3350542 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.3467292168478]
Predicted rank: [0], ambiguousness: [[0.5403904  0.45960966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.87746807368974]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.86800108840376]
Predicted rank: [0], ambiguousness: [[0.7281376 0.2718624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6040333051076]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.752658723953]
Predicted rank: [0], ambiguousness: [[0.6693505  0.33064947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.84640084492844]
Predicted rank: [0], ambiguousness: [[0.6668304 0.3331696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.26928835438684]
Predicted rank: [0], ambiguousness: [[0.5552836 0.4447164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.80258059198937]
Predicted rank: [0], ambiguousness: [[0.7076409  0.29235908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.40311404648924]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.7846020763127]
Predicted rank: [0], ambiguousness: [[0.79906166 0.20093837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.91947420642379]
Predicted rank: [0], ambiguousness: [[0.81530696 0.18469304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.27200573822145]
Predicted rank: [0], ambiguousness: [[0.6965472 0.3034528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.44054242610648]
Predicted rank: [0], ambiguousness: [[0.6976528  0.30234718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.60458505157621]
Predicted rank: [0], ambiguousness: [[0.7440678  0.25593224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.9927868268353]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.73553365112704]
Predicted rank: [0], ambiguousness: [[0.66410184 0.33589816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.13445296735696]
Predicted rank: [0], ambiguousness: [[0.62672293 0.37327707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.19780102356297]
Predicted rank: [0], ambiguousness: [[0.62486124 0.37513873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.22559193781925]
Predicted rank: [0], ambiguousness: [[0.8173424  0.18265758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.8373148036735]
Predicted rank: [0], ambiguousness: [[0.72877824 0.2712218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.57611929874241]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.72474424239812]
Predicted rank: [0], ambiguousness: [[0.6694471  0.33055288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.81848615654295]
Predicted rank: [0], ambiguousness: [[0.6761526  0.32384744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.24137408916127]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.6209872884601]
Predicted rank: [0], ambiguousness: [[0.7224382  0.27756178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.25300574379395]
Predicted rank: [0], ambiguousness: [[0.72053206 0.27946797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.65377137763711]
Predicted rank: [0], ambiguousness: [[0.809597   0.19040295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.79140843461948]
Predicted rank: [0], ambiguousness: [[0.8324576 0.1675424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.13922559721827]
Predicted rank: [0], ambiguousness: [[0.73122436 0.26877564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.36737400691227]
Predicted rank: [0], ambiguousness: [[0.70267653 0.2973235 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.53220489502559]
Predicted rank: [0], ambiguousness: [[0.74395573 0.25604427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.91953552579325]
Predicted rank: [0], ambiguousness: [[0.72223777 0.27776223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.66394303899361]
Predicted rank: [0], ambiguousness: [[0.67155486 0.32844514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.06207555804932]
Predicted rank: [0], ambiguousness: [[0.64547133 0.35452864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.12575817310969]
Predicted rank: [0], ambiguousness: [[0.63800675 0.36199325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.15366143209269]
Predicted rank: [0], ambiguousness: [[0.81060773 0.18939228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.78199561677297]
Predicted rank: [0], ambiguousness: [[0.7393593  0.26064068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.06748265935518]
Predicted rank: [0], ambiguousness: [[0.72317994 0.27682003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.5796467880117]
Predicted rank: [0], ambiguousness: [[0.7970005  0.20299946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.72380269510342]
Predicted rank: [0], ambiguousness: [[0.81749946 0.18250054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.06431683153342]
Predicted rank: [0], ambiguousness: [[0.7024023 0.2975977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.0401841313647]
Predicted rank: [0], ambiguousness: [[0.617438   0.38256198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.30500614425162]
Predicted rank: [0], ambiguousness: [[0.7245649  0.27543506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.5887797449761]
Predicted rank: [0], ambiguousness: [[0.7133478  0.28665224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.66815204560599]
Predicted rank: [0], ambiguousness: [[0.80655587 0.19344413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.98966825245436]
Predicted rank: [0], ambiguousness: [[0.7855843  0.21441571]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.09421018983483]
Predicted rank: [0], ambiguousness: [[0.7992859  0.20071408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.13587152526378]
Predicted rank: [0], ambiguousness: [[0.8951169  0.10488307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.3262582736445]
Predicted rank: [0], ambiguousness: [[0.6676673  0.33233267]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.67700142363502]
Predicted rank: [0], ambiguousness: [[0.6783036  0.32169643]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.8234561335504]
Predicted rank: [0], ambiguousness: [[0.73368204 0.266318  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.8644429949157]
Predicted rank: [0], ambiguousness: [[0.89623064 0.10376934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.92871191050173]
Predicted rank: [0], ambiguousness: [[0.6305857 0.3694143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.00158202062212]
Predicted rank: [0], ambiguousness: [[0.86551744 0.13448255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.03561514347724]
Predicted rank: [0], ambiguousness: [[0.6515838 0.3484162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.60776391521648]
Predicted rank: [0], ambiguousness: [[0.7243382 0.2756618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.24706255988627]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.64804815633522]
Predicted rank: [0], ambiguousness: [[0.81105644 0.18894356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.78567860658376]
Predicted rank: [0], ambiguousness: [[0.8394939  0.16050614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.13352426463301]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.36190420991656]
Predicted rank: [0], ambiguousness: [[0.7046565 0.2953435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.52669633098435]
Predicted rank: [0], ambiguousness: [[0.75360864 0.24639134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.9140721078249]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.65839385034442]
Predicted rank: [0], ambiguousness: [[0.6974378  0.30256218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.05656722514568]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.12023337408702]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.14813103354365]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.59785682704137]
Predicted rank: [0], ambiguousness: [[0.7181194  0.28188062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.84557834963084]
Predicted rank: [0], ambiguousness: [[0.7102452 0.2897548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.41166840181653]
Predicted rank: [0], ambiguousness: [[0.7914811  0.20851892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.56071827292924]
Predicted rank: [0], ambiguousness: [[0.8201027  0.17989731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.8938532454712]
Predicted rank: [0], ambiguousness: [[0.71666276 0.28333727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.89932074617238]
Predicted rank: [0], ambiguousness: [[0.6094289  0.39057115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.1719728247447]
Predicted rank: [0], ambiguousness: [[0.7127801  0.28721988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.44871973612047]
Predicted rank: [0], ambiguousness: [[0.7119886  0.28801137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.55363456027371]
Predicted rank: [0], ambiguousness: [[0.82050014 0.1794999 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.87022432801876]
Predicted rank: [0], ambiguousness: [[0.7960902 0.2039098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.97741319472212]
Predicted rank: [0], ambiguousness: [[0.8170793  0.18292072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.01993388784896]
Predicted rank: [0], ambiguousness: [[0.89641243 0.10358755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.26840520217323]
Predicted rank: [0], ambiguousness: [[0.6546085  0.34539148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.61820352146296]
Predicted rank: [0], ambiguousness: [[0.683367   0.31663302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.76549038945049]
Predicted rank: [0], ambiguousness: [[0.7334442 0.2665558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.80664061550905]
Predicted rank: [0], ambiguousness: [[0.886335   0.11366495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.8714857216846]
Predicted rank: [0], ambiguousness: [[0.63823235 0.36176762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.94461086085876]
Predicted rank: [0], ambiguousness: [[0.85688376 0.14311627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.97891861641622]
Predicted rank: [0], ambiguousness: [[0.6369829  0.36301705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.04113410054975]
Predicted rank: [0], ambiguousness: [[0.71927255 0.28072745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.57206554147912]
Predicted rank: [0], ambiguousness: [[0.85536796 0.14463204]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.71650167031257]
Predicted rank: [0], ambiguousness: [[0.8278696  0.17213039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.05669371414862]
Predicted rank: [0], ambiguousness: [[0.7298223 0.2701777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.65893696417734]
Predicted rank: [0], ambiguousness: [[0.61418545 0.38581458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.97473283152102]
Predicted rank: [0], ambiguousness: [[0.7218128  0.27818722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.23052298201549]
Predicted rank: [0], ambiguousness: [[0.71052825 0.28947172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.47078284976689]
Predicted rank: [0], ambiguousness: [[0.8007945  0.19920555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.77917962175539]
Predicted rank: [0], ambiguousness: [[0.7793692  0.22063082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.89333129062243]
Predicted rank: [0], ambiguousness: [[0.7978218 0.2021782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.93793064680173]
Predicted rank: [0], ambiguousness: [[0.8955035  0.10449646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.88934709426005]
Predicted rank: [0], ambiguousness: [[0.57914597 0.42085403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.11779273047489]
Predicted rank: [0], ambiguousness: [[0.5908793  0.40912065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.37419944707642]
Predicted rank: [0], ambiguousness: [[0.7093971  0.29060295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.44122074322806]
Predicted rank: [0], ambiguousness: [[0.8949451  0.10505489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.73561239495444]
Predicted rank: [0], ambiguousness: [[0.7895353  0.21046475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.84320165613335]
Predicted rank: [0], ambiguousness: [[0.9258947  0.07410534]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.91317034983558]
Predicted rank: [0], ambiguousness: [[0.81383115 0.18616883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.42699311104911]
Predicted rank: [0], ambiguousness: [[0.6425771 0.3574229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.5352005571849]
Predicted rank: [0], ambiguousness: [[0.88783044 0.11216958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.65103386486854]
Predicted rank: [0], ambiguousness: [[0.77475363 0.22524638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.74343638951882]
Predicted rank: [0], ambiguousness: [[0.64759266 0.3524073 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.68773582791843]
Predicted rank: [0], ambiguousness: [[0.7120435 0.2879565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.95130007677804]
Predicted rank: [0], ambiguousness: [[0.7296787 0.2703213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.50327450566732]
Predicted rank: [0], ambiguousness: [[0.7841458  0.21585423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.65064139083077]
Predicted rank: [0], ambiguousness: [[0.83400214 0.16599786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.98664147147839]
Predicted rank: [0], ambiguousness: [[0.7482652 0.2517348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.99069799633455]
Predicted rank: [0], ambiguousness: [[0.59893453 0.4010655 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.26011122325328]
Predicted rank: [0], ambiguousness: [[0.7402308 0.2597692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.54009845878826]
Predicted rank: [0], ambiguousness: [[0.7516631  0.24833693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.63470523038963]
Predicted rank: [0], ambiguousness: [[0.8436363  0.15636373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.95373657373285]
Predicted rank: [0], ambiguousness: [[0.80599165 0.19400838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.05974418022538]
Predicted rank: [0], ambiguousness: [[0.84552467 0.15447535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.10187215517016]
Predicted rank: [0], ambiguousness: [[0.9069349  0.09306508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.32888191266869]
Predicted rank: [0], ambiguousness: [[0.68516314 0.31483683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.67971971332452]
Predicted rank: [0], ambiguousness: [[0.69665635 0.30334365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.82624843495225]
Predicted rank: [0], ambiguousness: [[0.7784115  0.22158849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.86723771716657]
Predicted rank: [0], ambiguousness: [[0.901469   0.09853103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.93144553555153]
Predicted rank: [0], ambiguousness: [[0.7069352  0.29306477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.00432749945944]
Predicted rank: [0], ambiguousness: [[0.8592599  0.14074011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.03838549784942]
Predicted rank: [0], ambiguousness: [[0.6589707  0.34102926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.904309745402]
Predicted rank: [0], ambiguousness: [[0.7091404  0.29085958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.48225091385598]
Predicted rank: [0], ambiguousness: [[0.81181234 0.18818764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.62985058717632]
Predicted rank: [0], ambiguousness: [[0.8143516  0.18564838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.96559926231069]
Predicted rank: [0], ambiguousness: [[0.7201909  0.27980912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.53313154474458]
Predicted rank: [0], ambiguousness: [[0.58861166 0.41138834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 107.86271046989896]
Predicted rank: [0], ambiguousness: [[0.69471204 0.305288  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.1098148011361]
Predicted rank: [0], ambiguousness: [[0.70310575 0.29689425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.3951480305323]
Predicted rank: [0], ambiguousness: [[0.7973907  0.20260927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.69895447972688]
Predicted rank: [0], ambiguousness: [[0.7783563  0.22164366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.81613755391447]
Predicted rank: [0], ambiguousness: [[0.8050526  0.19494744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.8616986072679]
Predicted rank: [0], ambiguousness: [[0.8858416  0.11415838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.83556996721671]
Predicted rank: [0], ambiguousness: [[0.5468717  0.45312828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.05955131065309]
Predicted rank: [0], ambiguousness: [[0.58945704 0.41054296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.32096411383245]
Predicted rank: [0], ambiguousness: [[0.7030904  0.29690954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.38898774911974]
Predicted rank: [0], ambiguousness: [[0.8773054 0.1226946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.69482904722136]
Predicted rank: [0], ambiguousness: [[0.8087605  0.19123946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.80357506754778]
Predicted rank: [0], ambiguousness: [[0.9183631  0.08163688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.87481699131777]
Predicted rank: [0], ambiguousness: [[0.8106918  0.18930823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.42575335903905]
Predicted rank: [0], ambiguousness: [[0.6355654 0.3644346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.53400757828351]
Predicted rank: [0], ambiguousness: [[0.87253773 0.12746224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.64994483827411]
Predicted rank: [0], ambiguousness: [[0.75001645 0.24998355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.742303730475]
Predicted rank: [0], ambiguousness: [[0.62387085 0.37612912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.69745999442677]
Predicted rank: [0], ambiguousness: [[0.6266078 0.3733922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.01597201389302]
Predicted rank: [0], ambiguousness: [[0.71211517 0.28788483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.27228672912511]
Predicted rank: [0], ambiguousness: [[0.70969665 0.29030332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.52266307259563]
Predicted rank: [0], ambiguousness: [[0.83270866 0.16729136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.83272587671897]
Predicted rank: [0], ambiguousness: [[0.8433937 0.1566063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.94613286415664]
Predicted rank: [0], ambiguousness: [[0.8108986  0.18910138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.99050033985279]
Predicted rank: [0], ambiguousness: [[0.90519816 0.09480182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.55967748194563]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 106.75594042936255]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.06837036434632]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.14384353805254]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.57440731502118]
Predicted rank: [0], ambiguousness: [[0.7816789  0.21832107]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.68890976059008]
Predicted rank: [0], ambiguousness: [[0.9194481  0.08055193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.76674008381548]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 106.82188230474466]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 106.99307291747883]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.2096186717585]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.55978113899519]
Predicted rank: [0], ambiguousness: [[0.7776154  0.22238459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.24393581658286]
Predicted rank: [0], ambiguousness: [[0.63406336 0.36593667]]
Running local search 6
Switching 6 patient(s). Size of neighborhood: 38760
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.07431595617815]
Predicted rank: [0], ambiguousness: [[0.7517422  0.24825782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.949217047077]
Predicted rank: [0], ambiguousness: [[0.75618124 0.24381876]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.5296377084743]
Predicted rank: [0], ambiguousness: [[0.85122573 0.14877424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.63786718982932]
Predicted rank: [0], ambiguousness: [[0.8533494 0.1466506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.86319253108559]
Predicted rank: [0], ambiguousness: [[0.79446447 0.20553553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.99976577480012]
Predicted rank: [0], ambiguousness: [[0.8236487  0.17635131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.20061433986697]
Predicted rank: [0], ambiguousness: [[0.6242163 0.3757837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.9464480190109]
Predicted rank: [0], ambiguousness: [[0.75792766 0.24207236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.33663545744737]
Predicted rank: [0], ambiguousness: [[0.8520402  0.14795981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.54387509967343]
Predicted rank: [0], ambiguousness: [[0.84907186 0.15092811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.77066628081957]
Predicted rank: [0], ambiguousness: [[0.7888943 0.2111057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.90785147872863]
Predicted rank: [0], ambiguousness: [[0.8194921  0.18050787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.10739886243368]
Predicted rank: [0], ambiguousness: [[0.62265813 0.3773419 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.24678670365412]
Predicted rank: [0], ambiguousness: [[0.85174733 0.14825265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.6557484274237]
Predicted rank: [0], ambiguousness: [[0.85162055 0.14837943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.25571516250972]
Predicted rank: [0], ambiguousness: [[0.887833   0.11216703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.4580280841744]
Predicted rank: [0], ambiguousness: [[0.91287756 0.08712242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.54425103785474]
Predicted rank: [0], ambiguousness: [[0.7623365  0.23766348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.33016599983685]
Predicted rank: [0], ambiguousness: [[0.8398673  0.16013272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.57269284164734]
Predicted rank: [0], ambiguousness: [[0.865469   0.13453102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.72009199197558]
Predicted rank: [0], ambiguousness: [[0.77492636 0.22507364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.77406810614076]
Predicted rank: [0], ambiguousness: [[0.7971664  0.20283358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.93851760824678]
Predicted rank: [0], ambiguousness: [[0.7039093 0.2960907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.03383527764103]
Predicted rank: [0], ambiguousness: [[0.6988977  0.30110228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.07512439004]
Predicted rank: [0], ambiguousness: [[0.86179334 0.13820665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.50447663691305]
Predicted rank: [0], ambiguousness: [[0.85888803 0.14111196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.67017168767163]
Predicted rank: [0], ambiguousness: [[0.86101645 0.13898355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.89519983934844]
Predicted rank: [0], ambiguousness: [[0.7814931  0.21850689]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.03170859796779]
Predicted rank: [0], ambiguousness: [[0.839047 0.160953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.23292863396394]
Predicted rank: [0], ambiguousness: [[0.6689158 0.3310842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.14278148109719]
Predicted rank: [0], ambiguousness: [[0.84414506 0.15585497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.59362446750812]
Predicted rank: [0], ambiguousness: [[0.8440129  0.15598707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.21251154350377]
Predicted rank: [0], ambiguousness: [[0.88595194 0.11404807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.41719658467139]
Predicted rank: [0], ambiguousness: [[0.9118115  0.08818855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.49970886969109]
Predicted rank: [0], ambiguousness: [[0.7765677  0.22343233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.34620141016109]
Predicted rank: [0], ambiguousness: [[0.8317761  0.16822392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.5886831549086]
Predicted rank: [0], ambiguousness: [[0.8591107  0.14088927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.73644593120912]
Predicted rank: [0], ambiguousness: [[0.7686174  0.23138261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.78981166368762]
Predicted rank: [0], ambiguousness: [[0.7940171  0.20598295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.9546044968991]
Predicted rank: [0], ambiguousness: [[0.7026822 0.2973178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.04989987530425]
Predicted rank: [0], ambiguousness: [[0.6924621 0.3075379]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.09117301193736]
Predicted rank: [0], ambiguousness: [[0.83958495 0.16041504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.36315741550322]
Predicted rank: [0], ambiguousness: [[0.8643143 0.1356857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.26715957678633]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.06821133274245]
Predicted rank: [0], ambiguousness: [[0.87850976 0.12149025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.28377523594142]
Predicted rank: [0], ambiguousness: [[0.9077362  0.09226384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.35364272875418]
Predicted rank: [0], ambiguousness: [[0.76124644 0.23875359]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.26313993760832]
Predicted rank: [0], ambiguousness: [[0.77293724 0.22706275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.66256676977653]
Predicted rank: [0], ambiguousness: [[0.84378505 0.15621492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.64550352317526]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.22735195028469]
Predicted rank: [0], ambiguousness: [[0.8869075  0.11309249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.27029773289755]
Predicted rank: [0], ambiguousness: [[0.83413935 0.16586068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.42929498761654]
Predicted rank: [0], ambiguousness: [[0.84324837 0.15675162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.49200698119131]
Predicted rank: [0], ambiguousness: [[0.91691244 0.08308756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.28231451698647]
Predicted rank: [0], ambiguousness: [[0.81228805 0.18771198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.3755969129806]
Predicted rank: [0], ambiguousness: [[0.74321145 0.25678855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.59466479713436]
Predicted rank: [0], ambiguousness: [[0.7882061  0.21179391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.6552604517735]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.75964831840376]
Predicted rank: [0], ambiguousness: [[0.6975149 0.3024851]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.8660782836067]
Predicted rank: [0], ambiguousness: [[0.89789456 0.10210545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.91954287245389]
Predicted rank: [0], ambiguousness: [[0.70744705 0.29255295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.06519229284551]
Predicted rank: [0], ambiguousness: [[0.6683601 0.3316399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.92646525292977]
Predicted rank: [0], ambiguousness: [[0.6756313  0.32436872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.50723618796815]
Predicted rank: [0], ambiguousness: [[0.7885194 0.2114806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.61546566932317]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.84079101057944]
Predicted rank: [0], ambiguousness: [[0.71863925 0.28136078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.97736425429397]
Predicted rank: [0], ambiguousness: [[0.75527334 0.24472663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.17821281936081]
Predicted rank: [0], ambiguousness: [[0.5888219  0.41117814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.87488432410503]
Predicted rank: [0], ambiguousness: [[0.67572695 0.32427305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.27532700153995]
Predicted rank: [0], ambiguousness: [[0.7994688  0.20053117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.48788381419325]
Predicted rank: [0], ambiguousness: [[0.79749626 0.20250373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.71477503661876]
Predicted rank: [0], ambiguousness: [[0.72345245 0.27654755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.85200059818908]
Predicted rank: [0], ambiguousness: [[0.7606578  0.23934223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.05145788749103]
Predicted rank: [0], ambiguousness: [[0.60112774 0.3988723 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.19607584632944]
Predicted rank: [0], ambiguousness: [[0.79494125 0.20505877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.60527969527274]
Predicted rank: [0], ambiguousness: [[0.7947776  0.20522243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.2056490302435]
Predicted rank: [0], ambiguousness: [[0.8456569  0.15434316]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.40803304439117]
Predicted rank: [0], ambiguousness: [[0.8760871  0.12391287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.49412167037153]
Predicted rank: [0], ambiguousness: [[0.7243694  0.27563056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.28124758552363]
Predicted rank: [0], ambiguousness: [[0.77968657 0.22031344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.52381993684992]
Predicted rank: [0], ambiguousness: [[0.81276476 0.1872352 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.67116192516832]
Predicted rank: [0], ambiguousness: [[0.7519206  0.24807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.72524569348963]
Predicted rank: [0], ambiguousness: [[0.7261702 0.2738298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.88964335261551]
Predicted rank: [0], ambiguousness: [[0.6766733 0.3233267]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.98498035459302]
Predicted rank: [0], ambiguousness: [[0.67141587 0.32858413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.02627608279695]
Predicted rank: [0], ambiguousness: [[0.84590095 0.15409906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.273050690379]
Predicted rank: [0], ambiguousness: [[0.80098677 0.19901322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.48527196244646]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.71206314359262]
Predicted rank: [0], ambiguousness: [[0.7253481  0.27465186]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.84924834150164]
Predicted rank: [0], ambiguousness: [[0.7698758  0.23012418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.0487957252067]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.9055260391299]
Predicted rank: [0], ambiguousness: [[0.78938055 0.21061943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.37056955322767]
Predicted rank: [0], ambiguousness: [[0.78921366 0.21078637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.0058144257394]
Predicted rank: [0], ambiguousness: [[0.8464963  0.15350372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.21319349553254]
Predicted rank: [0], ambiguousness: [[0.8773696  0.12263042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.29061934275171]
Predicted rank: [0], ambiguousness: [[0.7456728  0.25432715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.18551981485466]
Predicted rank: [0], ambiguousness: [[0.7738299  0.22617012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.42949021477676]
Predicted rank: [0], ambiguousness: [[0.8084114  0.19158858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.5752652960887]
Predicted rank: [0], ambiguousness: [[0.75068045 0.24931957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.63230326987997]
Predicted rank: [0], ambiguousness: [[0.72732824 0.27267176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.79528438231235]
Predicted rank: [0], ambiguousness: [[0.6817503 0.3182497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.89121453689333]
Predicted rank: [0], ambiguousness: [[0.6711474 0.3288526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.93270913220402]
Predicted rank: [0], ambiguousness: [[0.8321049  0.16789508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.19731995754587]
Predicted rank: [0], ambiguousness: [[0.8160677  0.18393232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.08387795248736]
Predicted rank: [0], ambiguousness: [[0.79252607 0.20747392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.90235336368764]
Predicted rank: [0], ambiguousness: [[0.8373821  0.16261792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.12019424151066]
Predicted rank: [0], ambiguousness: [[0.87509567 0.12490432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.18593188126101]
Predicted rank: [0], ambiguousness: [[0.72739744 0.27260253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.09611100381672]
Predicted rank: [0], ambiguousness: [[0.7079515 0.2920485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.49990762581378]
Predicted rank: [0], ambiguousness: [[0.79366314 0.20633689]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.47814740757096]
Predicted rank: [0], ambiguousness: [[0.7493472 0.2506528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.0737435672761]
Predicted rank: [0], ambiguousness: [[0.8513919 0.1486081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.11302951446294]
Predicted rank: [0], ambiguousness: [[0.8119493  0.18805069]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.27367888680583]
Predicted rank: [0], ambiguousness: [[0.81824946 0.18175057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.33694651584446]
Predicted rank: [0], ambiguousness: [[0.90514183 0.09485816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.15398633266868]
Predicted rank: [0], ambiguousness: [[0.7549946  0.24500544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.24532882041254]
Predicted rank: [0], ambiguousness: [[0.72018933 0.27981067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.46573991805326]
Predicted rank: [0], ambiguousness: [[0.7679584  0.23204157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.52662419125124]
Predicted rank: [0], ambiguousness: [[0.9120929  0.08790708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.63217640783458]
Predicted rank: [0], ambiguousness: [[0.6722028  0.32779717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.73904111689467]
Predicted rank: [0], ambiguousness: [[0.890949   0.10905096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.79294596855382]
Predicted rank: [0], ambiguousness: [[0.6919908 0.3080092]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.0971055765358]
Predicted rank: [0], ambiguousness: [[0.79844236 0.2015576 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.55722518408916]
Predicted rank: [0], ambiguousness: [[0.80480635 0.19519362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.17722263469065]
Predicted rank: [0], ambiguousness: [[0.8407068  0.15929317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.38202637355741]
Predicted rank: [0], ambiguousness: [[0.8874516  0.11254839]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.46434878917267]
Predicted rank: [0], ambiguousness: [[0.77505517 0.22494482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.31370575954126]
Predicted rank: [0], ambiguousness: [[0.76605713 0.23394284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.55618750428877]
Predicted rank: [0], ambiguousness: [[0.8289161  0.17108394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.70395028058928]
Predicted rank: [0], ambiguousness: [[0.7866223 0.2133777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.7573160130678]
Predicted rank: [0], ambiguousness: [[0.76637113 0.2336289 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.92210884627927]
Predicted rank: [0], ambiguousness: [[0.69507724 0.30492276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.01740422468441]
Predicted rank: [0], ambiguousness: [[0.72264993 0.27735004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.05867736131754]
Predicted rank: [0], ambiguousness: [[0.8532639  0.14673607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.06544278222549]
Predicted rank: [0], ambiguousness: [[0.8018447  0.19815525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.90958426652486]
Predicted rank: [0], ambiguousness: [[0.78266186 0.21733816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.79148010899213]
Predicted rank: [0], ambiguousness: [[0.82919085 0.17080915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.01445463902488]
Predicted rank: [0], ambiguousness: [[0.86912364 0.13087638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.07289163927757]
Predicted rank: [0], ambiguousness: [[0.7352607  0.26473927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.02475198320494]
Predicted rank: [0], ambiguousness: [[0.6956106  0.30438942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.4361321305664]
Predicted rank: [0], ambiguousness: [[0.78475523 0.21524476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.40808641354087]
Predicted rank: [0], ambiguousness: [[0.74255943 0.2574406 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.0290180592732]
Predicted rank: [0], ambiguousness: [[0.8540113  0.14598867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.06422577550072]
Predicted rank: [0], ambiguousness: [[0.8171367 0.1828633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.22728362082191]
Predicted rank: [0], ambiguousness: [[0.8306436  0.16935639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.2913156900089]
Predicted rank: [0], ambiguousness: [[0.89994824 0.10005178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.17007421327061]
Predicted rank: [0], ambiguousness: [[0.74495375 0.25504622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.26181163045166]
Predicted rank: [0], ambiguousness: [[0.7190027  0.28099725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.48220927082016]
Predicted rank: [0], ambiguousness: [[0.7624973  0.23750268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.54306587373367]
Predicted rank: [0], ambiguousness: [[0.89700115 0.10299885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.64837301986223]
Predicted rank: [0], ambiguousness: [[0.6730369  0.32696313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.75521117620531]
Predicted rank: [0], ambiguousness: [[0.8760222 0.1239778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.80911288367432]
Predicted rank: [0], ambiguousness: [[0.6621282 0.3378718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.18862649986409]
Predicted rank: [0], ambiguousness: [[0.7845578  0.21544217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.02113450887003]
Predicted rank: [0], ambiguousness: [[0.88946503 0.11053497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.2372331016887]
Predicted rank: [0], ambiguousness: [[0.87933594 0.12066406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.30643343502126]
Predicted rank: [0], ambiguousness: [[0.7555498  0.24445023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.6169989790771]
Predicted rank: [0], ambiguousness: [[0.6937741 0.3062259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.09887524971562]
Predicted rank: [0], ambiguousness: [[0.78236747 0.2176325 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.03561070044054]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.87805019419005]
Predicted rank: [0], ambiguousness: [[0.8361172  0.16388279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.8992726842952]
Predicted rank: [0], ambiguousness: [[0.8006779  0.19932212]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.07381839789247]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.1412940308795]
Predicted rank: [0], ambiguousness: [[0.9017696  0.09823044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.00968380409117]
Predicted rank: [0], ambiguousness: [[0.6666697  0.33333024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.90763729792283]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.29971115449159]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.40106884895019]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.86839269880667]
Predicted rank: [0], ambiguousness: [[0.8115679  0.18843211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.02915802154689]
Predicted rank: [0], ambiguousness: [[0.93552125 0.06447873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.13857682213157]
Predicted rank: [0], ambiguousness: [[0.8240323 0.1759677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.98518668998835]
Predicted rank: [0], ambiguousness: [[0.68132555 0.31867447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.14440937138173]
Predicted rank: [0], ambiguousness: [[0.90494883 0.09505115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.32034144869488]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.46754583033159]
Predicted rank: [0], ambiguousness: [[0.67656374 0.32343626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.06220744409362]
Predicted rank: [0], ambiguousness: [[0.6723137 0.3276863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.91746097471497]
Predicted rank: [0], ambiguousness: [[0.71083117 0.28916886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.49823190975334]
Predicted rank: [0], ambiguousness: [[0.8164944 0.1835056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.60646139110837]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.83178673236463]
Predicted rank: [0], ambiguousness: [[0.74789166 0.2521083 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.96835997607917]
Predicted rank: [0], ambiguousness: [[0.7845862 0.2154138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.16920854114602]
Predicted rank: [0], ambiguousness: [[0.5403904  0.45960966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.84916362454405]
Predicted rank: [0], ambiguousness: [[0.7109208  0.28907916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.25252674841883]
Predicted rank: [0], ambiguousness: [[0.8272106 0.1727894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.4652470227191]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.69213947217736]
Predicted rank: [0], ambiguousness: [[0.7540608 0.2459392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.82936557092684]
Predicted rank: [0], ambiguousness: [[0.79100686 0.20899312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.0288217419911]
Predicted rank: [0], ambiguousness: [[0.5552836 0.4447164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.17379130992184]
Predicted rank: [0], ambiguousness: [[0.8191571  0.18084285]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.58299515886515]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.18336449383591]
Predicted rank: [0], ambiguousness: [[0.859976   0.14002399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.38574850798358]
Predicted rank: [0], ambiguousness: [[0.89202195 0.10797804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.47183713396393]
Predicted rank: [0], ambiguousness: [[0.6965472 0.3034528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.258963049116]
Predicted rank: [0], ambiguousness: [[0.80318785 0.19681214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.50153540044232]
Predicted rank: [0], ambiguousness: [[0.83569705 0.16430292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.64887738876071]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.70296115708203]
Predicted rank: [0], ambiguousness: [[0.75653136 0.24346867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.86735881620791]
Predicted rank: [0], ambiguousness: [[0.62672293 0.37327707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.96269581818541]
Predicted rank: [0], ambiguousness: [[0.62486124 0.37513873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.00399154638936]
Predicted rank: [0], ambiguousness: [[0.8173424  0.18265758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.19527602208309]
Predicted rank: [0], ambiguousness: [[0.82767296 0.17232701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.41366807531983]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.64055929774533]
Predicted rank: [0], ambiguousness: [[0.7541417  0.24585828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.77778485931566]
Predicted rank: [0], ambiguousness: [[0.79790753 0.20209247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.97724214861759]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.83891515951545]
Predicted rank: [0], ambiguousness: [[0.8230835  0.17691648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.30706548795919]
Predicted rank: [0], ambiguousness: [[0.8229373  0.17706268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.94424262288297]
Predicted rank: [0], ambiguousness: [[0.86784583 0.13215417]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.15189937618605]
Predicted rank: [0], ambiguousness: [[0.8987978 0.1012022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.22883758873974]
Predicted rank: [0], ambiguousness: [[0.73122436 0.26877564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.12953146990439]
Predicted rank: [0], ambiguousness: [[0.8069433  0.19305673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.37359311484582]
Predicted rank: [0], ambiguousness: [[0.8396876  0.16031244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.51926009030285]
Predicted rank: [0], ambiguousness: [[0.72223777 0.27776223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.57650123404926]
Predicted rank: [0], ambiguousness: [[0.7680429  0.23195708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.73938441892051]
Predicted rank: [0], ambiguousness: [[0.64547133 0.35452864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.83535331085797]
Predicted rank: [0], ambiguousness: [[0.63800675 0.36199325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.87686106396819]
Predicted rank: [0], ambiguousness: [[0.81060773 0.18939228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.14653909184872]
Predicted rank: [0], ambiguousness: [[0.84148717 0.15851286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.03224139565027]
Predicted rank: [0], ambiguousness: [[0.8204833  0.17951669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.85161601534259]
Predicted rank: [0], ambiguousness: [[0.8584291  0.14157096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.06956200515245]
Predicted rank: [0], ambiguousness: [[0.89342284 0.10657717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.13512086753845]
Predicted rank: [0], ambiguousness: [[0.7024023 0.2975977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.04552475842709]
Predicted rank: [0], ambiguousness: [[0.74056005 0.25943995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.44950993638943]
Predicted rank: [0], ambiguousness: [[0.8215016  0.17849842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.42755703068619]
Predicted rank: [0], ambiguousness: [[0.7133478  0.28665224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.02374680469508]
Predicted rank: [0], ambiguousness: [[0.8698263  0.13017365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.06288621915769]
Predicted rank: [0], ambiguousness: [[0.7855843  0.21441571]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.22360566303506]
Predicted rank: [0], ambiguousness: [[0.7992859  0.20071408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.28689658620492]
Predicted rank: [0], ambiguousness: [[0.8951169  0.10488307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.10516226325105]
Predicted rank: [0], ambiguousness: [[0.7866477  0.21335232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.19643956361598]
Predicted rank: [0], ambiguousness: [[0.6783036  0.32169643]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.41690054027065]
Predicted rank: [0], ambiguousness: [[0.73368204 0.266318  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.47779507915817]
Predicted rank: [0], ambiguousness: [[0.89623064 0.10376934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.58338781074738]
Predicted rank: [0], ambiguousness: [[0.6305857 0.3694143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.69026810298257]
Predicted rank: [0], ambiguousness: [[0.86551744 0.13448255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.74418932716318]
Predicted rank: [0], ambiguousness: [[0.6515838 0.3484162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.82241833901392]
Predicted rank: [0], ambiguousness: [[0.82446194 0.17553803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.3047001257865]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.94204351387486]
Predicted rank: [0], ambiguousness: [[0.86893106 0.13106897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.14964709689525]
Predicted rank: [0], ambiguousness: [[0.90337133 0.09662864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.22671370180242]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.12703366172622]
Predicted rank: [0], ambiguousness: [[0.80841815 0.19158183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.37100406164834]
Predicted rank: [0], ambiguousness: [[0.8464762  0.15352382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.51677914296027]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.57381711675154]
Predicted rank: [0], ambiguousness: [[0.78871447 0.21128552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.73679822918393]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.8327283837649]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.87422297907563]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.81379449754806]
Predicted rank: [0], ambiguousness: [[0.826618   0.17338197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.62712560404302]
Predicted rank: [0], ambiguousness: [[0.8154544  0.18454556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.54857781154027]
Predicted rank: [0], ambiguousness: [[0.8542744  0.14572564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.77578336353382]
Predicted rank: [0], ambiguousness: [[0.8906926  0.10930742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.8271278044412]
Predicted rank: [0], ambiguousness: [[0.71666276 0.28333727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.79261686166359]
Predicted rank: [0], ambiguousness: [[0.7340181 0.2659819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.21141505813387]
Predicted rank: [0], ambiguousness: [[0.8173057  0.18269433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.1759441751496]
Predicted rank: [0], ambiguousness: [[0.7119886  0.28801137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.8206348716627]
Predicted rank: [0], ambiguousness: [[0.8749526  0.12504739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.85029440274404]
Predicted rank: [0], ambiguousness: [[0.7960902 0.2039098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.01600896633317]
Predicted rank: [0], ambiguousness: [[0.8170793  0.18292072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.08092133241533]
Predicted rank: [0], ambiguousness: [[0.89641243 0.10358755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.00875468804489]
Predicted rank: [0], ambiguousness: [[0.78185004 0.21814997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.09823512110819]
Predicted rank: [0], ambiguousness: [[0.683367   0.31663302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.3202507703734]
Predicted rank: [0], ambiguousness: [[0.7334442 0.2665558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.38144987450562]
Predicted rank: [0], ambiguousness: [[0.886335   0.11366495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.48810729425922]
Predicted rank: [0], ambiguousness: [[0.63823235 0.36176762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.5954647874762]
Predicted rank: [0], ambiguousness: [[0.85688376 0.14311627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.64989708995917]
Predicted rank: [0], ambiguousness: [[0.6369829  0.36301705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.00046057293474]
Predicted rank: [0], ambiguousness: [[0.81760293 0.18239705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.85224599454011]
Predicted rank: [0], ambiguousness: [[0.90724486 0.09275515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.07064767563386]
Predicted rank: [0], ambiguousness: [[0.9000065  0.09999351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.13568542613405]
Predicted rank: [0], ambiguousness: [[0.7298223 0.2701777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.42460233766624]
Predicted rank: [0], ambiguousness: [[0.7379099  0.26209012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 104.9140848240628]
Predicted rank: [0], ambiguousness: [[0.8194767  0.18052329]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.84430736650842]
Predicted rank: [0], ambiguousness: [[0.71052825 0.28947172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.71079475654818]
Predicted rank: [0], ambiguousness: [[0.8656354  0.13436459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.7275115755976]
Predicted rank: [0], ambiguousness: [[0.7793692  0.22063082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.904318833058]
Predicted rank: [0], ambiguousness: [[0.7978218 0.2021782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.97253802397071]
Predicted rank: [0], ambiguousness: [[0.8955035  0.10449646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.84067359310114]
Predicted rank: [0], ambiguousness: [[0.71635467 0.28364533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.733129246879]
Predicted rank: [0], ambiguousness: [[0.5908793  0.40912065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.13002263733173]
Predicted rank: [0], ambiguousness: [[0.7093971  0.29060295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.23242409122282]
Predicted rank: [0], ambiguousness: [[0.8949451  0.10505489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.70869041211668]
Predicted rank: [0], ambiguousness: [[0.7895353  0.21046475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.87082213333123]
Predicted rank: [0], ambiguousness: [[0.9258947  0.07410534]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.98166526810638]
Predicted rank: [0], ambiguousness: [[0.81383115 0.18616883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.85362533999674]
Predicted rank: [0], ambiguousness: [[0.6425771 0.3574229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.01361493165487]
Predicted rank: [0], ambiguousness: [[0.88783044 0.11216958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.19080556760055]
Predicted rank: [0], ambiguousness: [[0.77475363 0.22524638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.33944788466593]
Predicted rank: [0], ambiguousness: [[0.64759266 0.3524073 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.00784772604197]
Predicted rank: [0], ambiguousness: [[0.8223021  0.17769787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.85478303406725]
Predicted rank: [0], ambiguousness: [[0.82952535 0.17047462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.7451598313106]
Predicted rank: [0], ambiguousness: [[0.84872586 0.15127416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.96870570433663]
Predicted rank: [0], ambiguousness: [[0.89980435 0.10019565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.02636779723801]
Predicted rank: [0], ambiguousness: [[0.7482652 0.2517348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.98793857033672]
Predicted rank: [0], ambiguousness: [[0.7253628  0.27463722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.39976086726773]
Predicted rank: [0], ambiguousness: [[0.83705026 0.16294973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.37137785596914]
Predicted rank: [0], ambiguousness: [[0.7516631  0.24833693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.99377039306191]
Predicted rank: [0], ambiguousness: [[0.8919942  0.10800582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.0287695197342]
Predicted rank: [0], ambiguousness: [[0.80599165 0.19400838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.19194786492321]
Predicted rank: [0], ambiguousness: [[0.84552467 0.15447535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.25601763488663]
Predicted rank: [0], ambiguousness: [[0.9069349  0.09306508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.13769554674931]
Predicted rank: [0], ambiguousness: [[0.80450994 0.19549005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.22943296393038]
Predicted rank: [0], ambiguousness: [[0.69665635 0.30334365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.4498306042989]
Predicted rank: [0], ambiguousness: [[0.7784115  0.22158849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.51068720721238]
Predicted rank: [0], ambiguousness: [[0.901469   0.09853103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.61599435334094]
Predicted rank: [0], ambiguousness: [[0.7069352  0.29306477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.722832509684]
Predicted rank: [0], ambiguousness: [[0.8592599  0.14074011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.77673421715303]
Predicted rank: [0], ambiguousness: [[0.6589707  0.34102926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.77723597258995]
Predicted rank: [0], ambiguousness: [[0.81008273 0.18991725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.71299377663095]
Predicted rank: [0], ambiguousness: [[0.86949265 0.13050734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.93690473715998]
Predicted rank: [0], ambiguousness: [[0.8914106  0.10858938]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.99417391764777]
Predicted rank: [0], ambiguousness: [[0.7201909  0.27980912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.22156530555557]
Predicted rank: [0], ambiguousness: [[0.72634554 0.27365443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 104.7354158666095]
Predicted rank: [0], ambiguousness: [[0.8114184  0.18858156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.65021447424022]
Predicted rank: [0], ambiguousness: [[0.70310575 0.29689425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.59663704716937]
Predicted rank: [0], ambiguousness: [[0.86336696 0.13663305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.60533682633428]
Predicted rank: [0], ambiguousness: [[0.7783563  0.22164366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.78741615690882]
Predicted rank: [0], ambiguousness: [[0.8050526  0.19494744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.85730623295662]
Predicted rank: [0], ambiguousness: [[0.8858416  0.11415838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.76596570343472]
Predicted rank: [0], ambiguousness: [[0.70534825 0.29465172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.65077789615333]
Predicted rank: [0], ambiguousness: [[0.58945704 0.41054296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.05625079267327]
Predicted rank: [0], ambiguousness: [[0.7030904  0.29690954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.1603559587559]
Predicted rank: [0], ambiguousness: [[0.8773054 0.1226946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.65649974079358]
Predicted rank: [0], ambiguousness: [[0.8087605  0.19123946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.82058031071183]
Predicted rank: [0], ambiguousness: [[0.9183631  0.08163688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.93356615860378]
Predicted rank: [0], ambiguousness: [[0.8106918  0.18930823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.87022656840797]
Predicted rank: [0], ambiguousness: [[0.6355654 0.3644346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.03019514950024]
Predicted rank: [0], ambiguousness: [[0.87253773 0.12746224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.20740016659704]
Predicted rank: [0], ambiguousness: [[0.75001645 0.24998355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.35575933680693]
Predicted rank: [0], ambiguousness: [[0.62387085 0.37612912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.52632015845519]
Predicted rank: [0], ambiguousness: [[0.7479832  0.25201678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.01904663544383]
Predicted rank: [0], ambiguousness: [[0.81229836 0.18770164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.9514285206073]
Predicted rank: [0], ambiguousness: [[0.70969665 0.29030332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.83071219550075]
Predicted rank: [0], ambiguousness: [[0.8886066  0.11139341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.85121910722589]
Predicted rank: [0], ambiguousness: [[0.8433937 0.1566063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.02630672725489]
Predicted rank: [0], ambiguousness: [[0.8108986  0.18910138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.09398350370597]
Predicted rank: [0], ambiguousness: [[0.90519816 0.09480182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.33137548456531]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.17020384860237]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 103.65948653443422]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 103.77574809384453]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.47672892034647]
Predicted rank: [0], ambiguousness: [[0.7816789  0.21832107]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.65011394210357]
Predicted rank: [0], ambiguousness: [[0.9194481  0.08055193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.77369490623605]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.34340235148423]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.60360887874728]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 103.94129830526907]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.5025359785639]
Predicted rank: [0], ambiguousness: [[0.7776154  0.22238459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.63266970831116]
Predicted rank: [0], ambiguousness: [[0.63406336 0.36593667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.49209328645242]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.41551779846309]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.5040221824816]
Predicted rank: [0], ambiguousness: [[0.7693191  0.23068087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.18513340225397]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.33292471222427]
Predicted rank: [0], ambiguousness: [[0.73626184 0.2637382 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.42632138807251]
Predicted rank: [0], ambiguousness: [[0.73571265 0.26428735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.84993325495256]
Predicted rank: [0], ambiguousness: [[0.6225307  0.37746933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.38760302632878]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.37697534317297]
Predicted rank: [0], ambiguousness: [[0.7887366  0.21126342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.1129444230552]
Predicted rank: [0], ambiguousness: [[0.7833831  0.21661691]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.2615693667109]
Predicted rank: [0], ambiguousness: [[0.7408823  0.25911775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.35531128085574]
Predicted rank: [0], ambiguousness: [[0.7355982  0.26440176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.77819921347404]
Predicted rank: [0], ambiguousness: [[0.634454   0.36554596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.31135047443952]
Predicted rank: [0], ambiguousness: [[0.77422523 0.22577478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.91188392893937]
Predicted rank: [0], ambiguousness: [[0.7856127  0.21438733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.29337195876285]
Predicted rank: [0], ambiguousness: [[0.8512945  0.14870551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.42824408887394]
Predicted rank: [0], ambiguousness: [[0.8621473  0.13785271]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.78077562067159]
Predicted rank: [0], ambiguousness: [[0.76481843 0.2351816 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.94931230855661]
Predicted rank: [0], ambiguousness: [[0.76811427 0.23188573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.11335493402635]
Predicted rank: [0], ambiguousness: [[0.8042053  0.19579472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.50155670928547]
Predicted rank: [0], ambiguousness: [[0.77731514 0.22268483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.24430353357721]
Predicted rank: [0], ambiguousness: [[0.73637193 0.26362807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.64322284980713]
Predicted rank: [0], ambiguousness: [[0.7067666  0.29323336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.70657090601313]
Predicted rank: [0], ambiguousness: [[0.70178294 0.2982171 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73436182026938]
Predicted rank: [0], ambiguousness: [[0.8634227  0.13657731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.3712408950733]
Predicted rank: [0], ambiguousness: [[0.79031444 0.20968555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10742615001652]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.25600835978568]
Predicted rank: [0], ambiguousness: [[0.74270093 0.25729907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.34973312483493]
Predicted rank: [0], ambiguousness: [[0.7454585  0.25454152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.77265870151192]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.1499748955742]
Predicted rank: [0], ambiguousness: [[0.77633774 0.22366224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.7806467813433]
Predicted rank: [0], ambiguousness: [[0.7746863  0.22531371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.18059378156174]
Predicted rank: [0], ambiguousness: [[0.8521086  0.14789139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.31811325364131]
Predicted rank: [0], ambiguousness: [[0.86887044 0.13112956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.66613324475183]
Predicted rank: [0], ambiguousness: [[0.78392804 0.21607195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.89182427422168]
Predicted rank: [0], ambiguousness: [[0.7620439  0.23795612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.05661639528947]
Predicted rank: [0], ambiguousness: [[0.7948633  0.20513672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.44399217213004]
Predicted rank: [0], ambiguousness: [[0.7761642  0.22383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.18831391464954]
Predicted rank: [0], ambiguousness: [[0.7316654  0.26833466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.58648728945082]
Predicted rank: [0], ambiguousness: [[0.7115725  0.28842744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.65015343839214]
Predicted rank: [0], ambiguousness: [[0.7015282 0.2984718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.67805109784877]
Predicted rank: [0], ambiguousness: [[0.8509189  0.14908113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.30414707273368]
Predicted rank: [0], ambiguousness: [[0.79694074 0.20305924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.58999676743001]
Predicted rank: [0], ambiguousness: [[0.78328806 0.21671194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.10177634152294]
Predicted rank: [0], ambiguousness: [[0.84661216 0.15338784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.24588736993125]
Predicted rank: [0], ambiguousness: [[0.861062   0.13893801]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.58647645192292]
Predicted rank: [0], ambiguousness: [[0.7655595  0.23444052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.5622448089278]
Predicted rank: [0], ambiguousness: [[0.69408965 0.30591038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.82698638189717]
Predicted rank: [0], ambiguousness: [[0.784462   0.21553804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.11084072550901]
Predicted rank: [0], ambiguousness: [[0.77492636 0.22507364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.18996081766609]
Predicted rank: [0], ambiguousness: [[0.8522585  0.14774151]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.51153835629496]
Predicted rank: [0], ambiguousness: [[0.83741677 0.16258322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.6160503735024]
Predicted rank: [0], ambiguousness: [[0.84637904 0.15362099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.65770176056432]
Predicted rank: [0], ambiguousness: [[0.9219218  0.07807822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.84756455436363]
Predicted rank: [0], ambiguousness: [[0.73541933 0.26458067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.1983349890879]
Predicted rank: [0], ambiguousness: [[0.74774235 0.25225765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.34476844034549]
Predicted rank: [0], ambiguousness: [[0.7921651  0.20783491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.38575091628893]
Predicted rank: [0], ambiguousness: [[0.92277545 0.07722455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.45000243677839]
Predicted rank: [0], ambiguousness: [[0.7025293  0.29747066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.52286591282231]
Predicted rank: [0], ambiguousness: [[0.9039303  0.09606966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.55689202784131]
Predicted rank: [0], ambiguousness: [[0.72124577 0.2787542 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.23927857811962]
Predicted rank: [0], ambiguousness: [[0.7858085 0.2141915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.86799692093335]
Predicted rank: [0], ambiguousness: [[0.7910692  0.20893079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.26085857901236]
Predicted rank: [0], ambiguousness: [[0.8464924  0.15350756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.39717849055299]
Predicted rank: [0], ambiguousness: [[0.87955534 0.12044469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.7474418861614]
Predicted rank: [0], ambiguousness: [[0.8100168  0.18998317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.95194608516232]
Predicted rank: [0], ambiguousness: [[0.75399494 0.24600509]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.11603979317965]
Predicted rank: [0], ambiguousness: [[0.81648874 0.18351124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.50433291971333]
Predicted rank: [0], ambiguousness: [[0.8093653  0.19063476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.24694290201269]
Predicted rank: [0], ambiguousness: [[0.7702833  0.22971673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.64595176302723]
Predicted rank: [0], ambiguousness: [[0.7241559  0.27584407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.7093198496892]
Predicted rank: [0], ambiguousness: [[0.75004476 0.24995525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73711331219366]
Predicted rank: [0], ambiguousness: [[0.870077   0.12992296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.21857454906845]
Predicted rank: [0], ambiguousness: [[0.78163457 0.21836545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.48047639965188]
Predicted rank: [0], ambiguousness: [[0.7591969  0.24080312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.02804019767461]
Predicted rank: [0], ambiguousness: [[0.8322365  0.16776344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.175109882686]
Predicted rank: [0], ambiguousness: [[0.85430217 0.14569785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.51150542515212]
Predicted rank: [0], ambiguousness: [[0.772666   0.22733404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.51044605946598]
Predicted rank: [0], ambiguousness: [[0.67097497 0.32902503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.77962810419672]
Predicted rank: [0], ambiguousness: [[0.76144737 0.23855263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.05978852169468]
Predicted rank: [0], ambiguousness: [[0.7686174  0.23138261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.15363313856125]
Predicted rank: [0], ambiguousness: [[0.8546374  0.14536263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.47277146084828]
Predicted rank: [0], ambiguousness: [[0.84203833 0.15796167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.57871599287716]
Predicted rank: [0], ambiguousness: [[0.8571897  0.14281027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.62082423741302]
Predicted rank: [0], ambiguousness: [[0.9175632  0.08243677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.84630009707915]
Predicted rank: [0], ambiguousness: [[0.7091099  0.29089007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.19713789773498]
Predicted rank: [0], ambiguousness: [[0.7466315 0.2533685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.34366661936272]
Predicted rank: [0], ambiguousness: [[0.7871157  0.21288428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.38465590157703]
Predicted rank: [0], ambiguousness: [[0.9093353  0.09066466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.44886371996199]
Predicted rank: [0], ambiguousness: [[0.70332026 0.29667974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.5217456838699]
Predicted rank: [0], ambiguousness: [[0.8905621  0.10943789]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.5558036822599]
Predicted rank: [0], ambiguousness: [[0.6929611 0.3070389]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.63129317256117]
Predicted rank: [0], ambiguousness: [[0.77506566 0.22493435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.15316587919096]
Predicted rank: [0], ambiguousness: [[0.8895571  0.11044287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.29652078538615]
Predicted rank: [0], ambiguousness: [[0.86570555 0.13429447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.63863286865146]
Predicted rank: [0], ambiguousness: [[0.79090357 0.20909642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.25102143497409]
Predicted rank: [0], ambiguousness: [[0.6795439 0.3204561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.56325150859193]
Predicted rank: [0], ambiguousness: [[0.77280676 0.22719322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.82204167067064]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.05106136904637]
Predicted rank: [0], ambiguousness: [[0.84050953 0.15949045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.36153217902508]
Predicted rank: [0], ambiguousness: [[0.83096516 0.16903484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.47462217890717]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.5188724669299]
Predicted rank: [0], ambiguousness: [[0.9182639  0.08173606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.47038830346116]
Predicted rank: [0], ambiguousness: [[0.643371   0.35662898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.70136372394593]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.95551171500836]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.02204292837936]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.31223464500547]
Predicted rank: [0], ambiguousness: [[0.83707666 0.16292335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.41918426717723]
Predicted rank: [0], ambiguousness: [[0.9453793  0.05462066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.48848235897188]
Predicted rank: [0], ambiguousness: [[0.85142934 0.14857063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.99038098604939]
Predicted rank: [0], ambiguousness: [[0.7111707 0.2888293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.09822913949444]
Predicted rank: [0], ambiguousness: [[0.91642    0.08358002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.21347136161481]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.30519496953048]
Predicted rank: [0], ambiguousness: [[0.7066629 0.2933371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.49109020406183]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.41228138868982]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.50078577270834]
Predicted rank: [0], ambiguousness: [[0.72937036 0.27062964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.1818969924807]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.32968830245102]
Predicted rank: [0], ambiguousness: [[0.70794463 0.29205537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.42308497829924]
Predicted rank: [0], ambiguousness: [[0.7073599 0.2926401]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.84669684517931]
Predicted rank: [0], ambiguousness: [[0.5888219  0.41117814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.37743629653136]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.36796931124539]
Predicted rank: [0], ambiguousness: [[0.75223035 0.24776964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10400152794924]
Predicted rank: [0], ambiguousness: [[0.7601211  0.23987886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.25262694679463]
Predicted rank: [0], ambiguousness: [[0.71471834 0.28528163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.34636906777007]
Predicted rank: [0], ambiguousness: [[0.70911026 0.29088974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.76925657722848]
Predicted rank: [0], ambiguousness: [[0.60329777 0.39670223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.302548814831]
Predicted rank: [0], ambiguousness: [[0.7350499 0.2649501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.90308226933085]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.28457029915432]
Predicted rank: [0], ambiguousness: [[0.8261241 0.1738759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.41944242926542]
Predicted rank: [0], ambiguousness: [[0.834976   0.16502397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.77197396106308]
Predicted rank: [0], ambiguousness: [[0.72237206 0.27762792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.94051064894808]
Predicted rank: [0], ambiguousness: [[0.74064195 0.25935805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.10455327441784]
Predicted rank: [0], ambiguousness: [[0.77978295 0.22021705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.49275504967693]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.23550187396867]
Predicted rank: [0], ambiguousness: [[0.70657563 0.2934244 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.6344211901986]
Predicted rank: [0], ambiguousness: [[0.67510056 0.32489944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.6977692464046]
Predicted rank: [0], ambiguousness: [[0.6698301  0.33016995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.72556016066088]
Predicted rank: [0], ambiguousness: [[0.8449628  0.15503724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.33728302651512]
Predicted rank: [0], ambiguousness: [[0.7528335  0.24716654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.07608752158404]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.22471246523975]
Predicted rank: [0], ambiguousness: [[0.7148074  0.28519264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.31845437938458]
Predicted rank: [0], ambiguousness: [[0.7177502 0.2822498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.7413423120029]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.12095551130173]
Predicted rank: [0], ambiguousness: [[0.74895203 0.25104794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75297396663558]
Predicted rank: [0], ambiguousness: [[0.75846547 0.24153452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.15373960047874]
Predicted rank: [0], ambiguousness: [[0.83553267 0.16446733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.2913766574611]
Predicted rank: [0], ambiguousness: [[0.8506348  0.14936519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.63919382005989]
Predicted rank: [0], ambiguousness: [[0.75513554 0.24486446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.8673422297539]
Predicted rank: [0], ambiguousness: [[0.74521226 0.25478774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.0321731178672]
Predicted rank: [0], ambiguousness: [[0.7796819  0.22031808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.41950374863488]
Predicted rank: [0], ambiguousness: [[0.7600168  0.23998323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.16391126183524]
Predicted rank: [0], ambiguousness: [[0.7134928 0.2865072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.56204378089093]
Predicted rank: [0], ambiguousness: [[0.6926109  0.30738908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.62572639595132]
Predicted rank: [0], ambiguousness: [[0.68220115 0.31779882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.6536296549343]
Predicted rank: [0], ambiguousness: [[0.8390459  0.16095409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.2819638396146]
Predicted rank: [0], ambiguousness: [[0.764783   0.23521695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.5674508821968]
Predicted rank: [0], ambiguousness: [[0.76087326 0.23912674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.07961501085333]
Predicted rank: [0], ambiguousness: [[0.8205494  0.17945057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.22377091794505]
Predicted rank: [0], ambiguousness: [[0.8369817  0.16301827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.56428505437503]
Predicted rank: [0], ambiguousness: [[0.73011506 0.2698849 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.5401523542063]
Predicted rank: [0], ambiguousness: [[0.6663785  0.33362153]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.80497436709325]
Predicted rank: [0], ambiguousness: [[0.7621317 0.2378683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.08874796781771]
Predicted rank: [0], ambiguousness: [[0.7519206  0.24807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.16812026844761]
Predicted rank: [0], ambiguousness: [[0.83058345 0.16941653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.48963647529598]
Predicted rank: [0], ambiguousness: [[0.81403947 0.18596053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.59417841267646]
Predicted rank: [0], ambiguousness: [[0.8202851  0.17971495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.63583974810541]
Predicted rank: [0], ambiguousness: [[0.9063157  0.09368432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.8262264964861]
Predicted rank: [0], ambiguousness: [[0.7098872 0.2901128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.17696964647664]
Predicted rank: [0], ambiguousness: [[0.7229514  0.27704862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.32342435639202]
Predicted rank: [0], ambiguousness: [[0.77039933 0.22960068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.36441121775732]
Predicted rank: [0], ambiguousness: [[0.913189 0.086811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.42868013334336]
Predicted rank: [0], ambiguousness: [[0.67522496 0.32477504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.50155024346375]
Predicted rank: [0], ambiguousness: [[0.8922776  0.10772238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.53558336631887]
Predicted rank: [0], ambiguousness: [[0.6949133  0.30508667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.10773213805811]
Predicted rank: [0], ambiguousness: [[0.7507332  0.24926682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.7470307827279]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.14801637917685]
Predicted rank: [0], ambiguousness: [[0.8368333  0.16316669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.28564682942539]
Predicted rank: [0], ambiguousness: [[0.85703874 0.14296126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.63349248747464]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.86187243275816]
Predicted rank: [0], ambiguousness: [[0.74701095 0.25298905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.02666455382598]
Predicted rank: [0], ambiguousness: [[0.78837115 0.21162887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.41404033066652]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.15836207318605]
Predicted rank: [0], ambiguousness: [[0.73736334 0.26263663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.55653544798732]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.62020159692865]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.64809925638528]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.097825049883]
Predicted rank: [0], ambiguousness: [[0.7449001 0.2550999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.34554657247246]
Predicted rank: [0], ambiguousness: [[0.74908864 0.25091133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.91163662465816]
Predicted rank: [0], ambiguousness: [[0.815522 0.184478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.06068649577085]
Predicted rank: [0], ambiguousness: [[0.83936167 0.16063835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.39382146831284]
Predicted rank: [0], ambiguousness: [[0.7435324  0.25646755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.39928896901401]
Predicted rank: [0], ambiguousness: [[0.65882766 0.3411723 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.6719410475863]
Predicted rank: [0], ambiguousness: [[0.75140274 0.24859725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.9486879589621]
Predicted rank: [0], ambiguousness: [[0.75068045 0.24931957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.05360278311534]
Predicted rank: [0], ambiguousness: [[0.84313256 0.15686744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.3701925508604]
Predicted rank: [0], ambiguousness: [[0.8234644  0.17653558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.47738141756375]
Predicted rank: [0], ambiguousness: [[0.83659744 0.16340259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.5199021106906]
Predicted rank: [0], ambiguousness: [[0.9074872  0.09251281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.76837342501486]
Predicted rank: [0], ambiguousness: [[0.6977363  0.30226368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.11817174430459]
Predicted rank: [0], ambiguousness: [[0.72759426 0.2724057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.26545861229212]
Predicted rank: [0], ambiguousness: [[0.77018404 0.22981596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.30660883835068]
Predicted rank: [0], ambiguousness: [[0.90473866 0.09526132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.37145394452622]
Predicted rank: [0], ambiguousness: [[0.682413   0.31758702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.44457908370039]
Predicted rank: [0], ambiguousness: [[0.88513386 0.11486612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.47888683925785]
Predicted rank: [0], ambiguousness: [[0.6812399 0.3187601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.54110232339136]
Predicted rank: [0], ambiguousness: [[0.75731933 0.24268065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.07203376432075]
Predicted rank: [0], ambiguousness: [[0.87322295 0.12677705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.2164698931542]
Predicted rank: [0], ambiguousness: [[0.8464527  0.15354729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.55666193699025]
Predicted rank: [0], ambiguousness: [[0.75586915 0.24413083]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.15890518701896]
Predicted rank: [0], ambiguousness: [[0.66331506 0.33668494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.47470105436264]
Predicted rank: [0], ambiguousness: [[0.7596304  0.24036963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.73049120485712]
Predicted rank: [0], ambiguousness: [[0.7493472 0.2506528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.9707510726085]
Predicted rank: [0], ambiguousness: [[0.821671 0.178329]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.27914784459702]
Predicted rank: [0], ambiguousness: [[0.80446154 0.19553846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.39329951346406]
Predicted rank: [0], ambiguousness: [[0.8189394 0.1810606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.43789886964336]
Predicted rank: [0], ambiguousness: [[0.90759987 0.09240014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.38931531710165]
Predicted rank: [0], ambiguousness: [[0.6263176 0.3736824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.61776095331652]
Predicted rank: [0], ambiguousness: [[0.6412432 0.3587568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.87416766991805]
Predicted rank: [0], ambiguousness: [[0.7483139 0.2516861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.94118896606969]
Predicted rank: [0], ambiguousness: [[0.9120929  0.08790708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.23558061779606]
Predicted rank: [0], ambiguousness: [[0.8151925  0.18480746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.34316987897498]
Predicted rank: [0], ambiguousness: [[0.93948275 0.06051726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.41313857267721]
Predicted rank: [0], ambiguousness: [[0.8336253 0.1663747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.92696133389074]
Predicted rank: [0], ambiguousness: [[0.68648773 0.31351227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.03516878002652]
Predicted rank: [0], ambiguousness: [[0.9106092  0.08939083]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.15100208771017]
Predicted rank: [0], ambiguousness: [[0.8072956  0.19270436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.24340461236045]
Predicted rank: [0], ambiguousness: [[0.6911832  0.30881676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.18770405076006]
Predicted rank: [0], ambiguousness: [[0.73919183 0.26080817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.45126829961966]
Predicted rank: [0], ambiguousness: [[0.7667725  0.23322752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.00324272850892]
Predicted rank: [0], ambiguousness: [[0.8088282  0.19117184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.1506096136724]
Predicted rank: [0], ambiguousness: [[0.8520416  0.14795843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.48660969432001]
Predicted rank: [0], ambiguousness: [[0.7730868  0.22691318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.49066621917618]
Predicted rank: [0], ambiguousness: [[0.648896   0.35110405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.7600794460949]
Predicted rank: [0], ambiguousness: [[0.77632046 0.22367951]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.0400666816299]
Predicted rank: [0], ambiguousness: [[0.7866223 0.2133777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.13467345323126]
Predicted rank: [0], ambiguousness: [[0.8638357 0.1361643]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.45370479657446]
Predicted rank: [0], ambiguousness: [[0.83231664 0.1676834 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.559712403067]
Predicted rank: [0], ambiguousness: [[0.8625183  0.13748172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.60184037801179]
Predicted rank: [0], ambiguousness: [[0.91698885 0.08301117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.82885013551031]
Predicted rank: [0], ambiguousness: [[0.7260723  0.27392772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.17968793616613]
Predicted rank: [0], ambiguousness: [[0.7397343 0.2602657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.32621665779388]
Predicted rank: [0], ambiguousness: [[0.81055427 0.1894457 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.36720594000819]
Predicted rank: [0], ambiguousness: [[0.91764987 0.08235011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.43141375839315]
Predicted rank: [0], ambiguousness: [[0.7460638  0.25393617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.50429572230105]
Predicted rank: [0], ambiguousness: [[0.88710284 0.11289719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.53835372069105]
Predicted rank: [0], ambiguousness: [[0.701802   0.29819798]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.40427796824363]
Predicted rank: [0], ambiguousness: [[0.7480795  0.25192052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.98221913669761]
Predicted rank: [0], ambiguousness: [[0.8340009  0.16599911]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.12981881001795]
Predicted rank: [0], ambiguousness: [[0.83410174 0.16589828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.46556748515229]
Predicted rank: [0], ambiguousness: [[0.7468442 0.2531558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.03309976758621]
Predicted rank: [0], ambiguousness: [[0.63908416 0.36091584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.36267869274059]
Predicted rank: [0], ambiguousness: [[0.73486054 0.2651395 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.60978302397771]
Predicted rank: [0], ambiguousness: [[0.74255943 0.2574406 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.89511625337393]
Predicted rank: [0], ambiguousness: [[0.81854314 0.18145688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.19892270256851]
Predicted rank: [0], ambiguousness: [[0.80353487 0.19646513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.3161057767561]
Predicted rank: [0], ambiguousness: [[0.82558    0.17441997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.36166683010953]
Predicted rank: [0], ambiguousness: [[0.8989302 0.1010698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.33553819005834]
Predicted rank: [0], ambiguousness: [[0.5951319 0.4048681]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.55951953349472]
Predicted rank: [0], ambiguousness: [[0.63988924 0.36011073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.82093233667408]
Predicted rank: [0], ambiguousness: [[0.7425454  0.25745457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.88895597196137]
Predicted rank: [0], ambiguousness: [[0.89700115 0.10299885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.19479727006299]
Predicted rank: [0], ambiguousness: [[0.83257115 0.16742882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.30354329038941]
Predicted rank: [0], ambiguousness: [[0.9332326  0.06676742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.37478521415939]
Predicted rank: [0], ambiguousness: [[0.8307503  0.16924971]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.92572158188068]
Predicted rank: [0], ambiguousness: [[0.6799084  0.32009163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.03397580112514]
Predicted rank: [0], ambiguousness: [[0.8980655  0.10193449]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.14991306111571]
Predicted rank: [0], ambiguousness: [[0.7851412  0.21485879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.24227195331662]
Predicted rank: [0], ambiguousness: [[0.6688955  0.33110455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.1974282172684]
Predicted rank: [0], ambiguousness: [[0.6749927  0.32500735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.51594023673465]
Predicted rank: [0], ambiguousness: [[0.75079596 0.24920405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.77225495196672]
Predicted rank: [0], ambiguousness: [[0.74858767 0.25141233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.02263129543724]
Predicted rank: [0], ambiguousness: [[0.85086346 0.14913654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.3326940995606]
Predicted rank: [0], ambiguousness: [[0.8624893  0.13751073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.44610108699825]
Predicted rank: [0], ambiguousness: [[0.83093977 0.16906022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.49046856269442]
Predicted rank: [0], ambiguousness: [[0.91627717 0.08372281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.05964570478724]
Predicted rank: [0], ambiguousness: [[0.61035836 0.38964164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.25590865220417]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.56833858718795]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.64381176089415]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.07437553786279]
Predicted rank: [0], ambiguousness: [[0.80406857 0.1959314 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.1888779834317]
Predicted rank: [0], ambiguousness: [[0.93254507 0.0674549 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.26670830665711]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.32185052758628]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.49304114032046]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.70958689460014]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.05974936183682]
Predicted rank: [0], ambiguousness: [[0.80436575 0.19563422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.74390403942448]
Predicted rank: [0], ambiguousness: [[0.6784966  0.32150343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.49088298734921]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.4113125696843]
Predicted rank: [0], ambiguousness: [[0.5647438  0.43525618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.49981695370283]
Predicted rank: [0], ambiguousness: [[0.6844122  0.31558782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.18092817347518]
Predicted rank: [0], ambiguousness: [[0.7188452 0.2811548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.3287194834455]
Predicted rank: [0], ambiguousness: [[0.6587861  0.34121388]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.42211615929374]
Predicted rank: [0], ambiguousness: [[0.66173667 0.33826333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.84572802617379]
Predicted rank: [0], ambiguousness: [[0.5363262  0.46367377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.37417826928254]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.36476228263803]
Predicted rank: [0], ambiguousness: [[0.7281376 0.2718624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10079449934187]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.24941991818727]
Predicted rank: [0], ambiguousness: [[0.6693505  0.33064947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.34316203916272]
Predicted rank: [0], ambiguousness: [[0.6668304 0.3331696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.76604954862113]
Predicted rank: [0], ambiguousness: [[0.5552836 0.4447164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.29934178622364]
Predicted rank: [0], ambiguousness: [[0.7076409  0.29235908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.8998752407235]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.28136327054698]
Predicted rank: [0], ambiguousness: [[0.79906166 0.20093837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.41623540065807]
Predicted rank: [0], ambiguousness: [[0.81530696 0.18469304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.76876693245572]
Predicted rank: [0], ambiguousness: [[0.6965472 0.3034528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.93730362034074]
Predicted rank: [0], ambiguousness: [[0.6976528  0.30234718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.10134624581049]
Predicted rank: [0], ambiguousness: [[0.7440678  0.25593224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.48954802106958]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.23229484536132]
Predicted rank: [0], ambiguousness: [[0.66410184 0.33589816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.63121416159125]
Predicted rank: [0], ambiguousness: [[0.62672293 0.37327707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.69456221779726]
Predicted rank: [0], ambiguousness: [[0.62486124 0.37513873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.72235313205351]
Predicted rank: [0], ambiguousness: [[0.8173424  0.18265758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.3270279438855]
Predicted rank: [0], ambiguousness: [[0.72877824 0.2712218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.0659488126733]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.2145742315187]
Predicted rank: [0], ambiguousness: [[0.6694471  0.33055288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.30831635249415]
Predicted rank: [0], ambiguousness: [[0.6761526  0.32384744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.73120386195257]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.11189323469507]
Predicted rank: [0], ambiguousness: [[0.7236911 0.2763089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.74396885671993]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.14475826696955]
Predicted rank: [0], ambiguousness: [[0.8105597  0.18944032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.28239832832986]
Predicted rank: [0], ambiguousness: [[0.8333284  0.16667157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.63021054135686]
Predicted rank: [0], ambiguousness: [[0.7324523  0.26754776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.85842753426887]
Predicted rank: [0], ambiguousness: [[0.70456564 0.29543436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.02325889597903]
Predicted rank: [0], ambiguousness: [[0.7456775 0.2543225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.41058901831724]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.15499748691991]
Predicted rank: [0], ambiguousness: [[0.6735499  0.32645014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.55312954637895]
Predicted rank: [0], ambiguousness: [[0.64754164 0.3524584 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.61681236217719]
Predicted rank: [0], ambiguousness: [[0.6400963 0.3599037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.64471568950876]
Predicted rank: [0], ambiguousness: [[0.81199455 0.18800545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.27319096666187]
Predicted rank: [0], ambiguousness: [[0.73743117 0.2625688 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.55867800924408]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.0708421379006]
Predicted rank: [0], ambiguousness: [[0.79538083 0.20461914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.21499804499231]
Predicted rank: [0], ambiguousness: [[0.8160056  0.18399441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.55551218142232]
Predicted rank: [0], ambiguousness: [[0.70031166 0.29968837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.53137948125358]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.79620149414052]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.07997509486498]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.15934739549488]
Predicted rank: [0], ambiguousness: [[0.80499375 0.19500627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.48086360234325]
Predicted rank: [0], ambiguousness: [[0.78389823 0.21610178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.58540553972374]
Predicted rank: [0], ambiguousness: [[0.79767984 0.20232016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.62706687515268]
Predicted rank: [0], ambiguousness: [[0.8941761  0.10582384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.8174536235334]
Predicted rank: [0], ambiguousness: [[0.66607237 0.3339276 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.1681967735239]
Predicted rank: [0], ambiguousness: [[0.6767349  0.32326505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.31465148343929]
Predicted rank: [0], ambiguousness: [[0.73227686 0.26772314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.3556383448046]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.41990726039063]
Predicted rank: [0], ambiguousness: [[0.62891173 0.3710883 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.49277737051102]
Predicted rank: [0], ambiguousness: [[0.8646796  0.13532041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.52681049336614]
Predicted rank: [0], ambiguousness: [[0.6499522  0.35004786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.06969882684356]
Predicted rank: [0], ambiguousness: [[0.7243382 0.2756618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.71194709203863]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.1139043573841]
Predicted rank: [0], ambiguousness: [[0.81105644 0.18894356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.25166856346951]
Predicted rank: [0], ambiguousness: [[0.8394939  0.16050614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.59928607036491]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.83051411493852]
Predicted rank: [0], ambiguousness: [[0.7046565 0.2953435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.99534500305185]
Predicted rank: [0], ambiguousness: [[0.75360864 0.24639134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.38267563381952]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.12708314701987]
Predicted rank: [0], ambiguousness: [[0.6974378  0.30256218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.52521566607557]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.58889828113595]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.61680154011894]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.06759146621533]
Predicted rank: [0], ambiguousness: [[0.71941245 0.28058755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.31387435390425]
Predicted rank: [0], ambiguousness: [[0.72053206 0.27946797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.88235045365968]
Predicted rank: [0], ambiguousness: [[0.7996972  0.20030278]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.03161931328373]
Predicted rank: [0], ambiguousness: [[0.827437   0.17256302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.36442196866301]
Predicted rank: [0], ambiguousness: [[0.7268094  0.27319065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.3712157020754]
Predicted rank: [0], ambiguousness: [[0.6213869 0.3786131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.6442170554704]
Predicted rank: [0], ambiguousness: [[0.72301203 0.27698797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.92064957575211]
Predicted rank: [0], ambiguousness: [[0.72223777 0.27776223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.0267000276195]
Predicted rank: [0], ambiguousness: [[0.82782155 0.17217845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.34306837846887]
Predicted rank: [0], ambiguousness: [[0.8041697 0.1958303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.4503746322691]
Predicted rank: [0], ambiguousness: [[0.82451046 0.17548953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.49293346424673]
Predicted rank: [0], ambiguousness: [[0.90101117 0.09898883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.74390106066623]
Predicted rank: [0], ambiguousness: [[0.6659415 0.3340585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.0936478872811]
Predicted rank: [0], ambiguousness: [[0.6941972  0.30580282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.2409775036846]
Predicted rank: [0], ambiguousness: [[0.7432052  0.25679478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.28213633563115]
Predicted rank: [0], ambiguousness: [[0.8913269  0.10867309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.34701326650382]
Predicted rank: [0], ambiguousness: [[0.6498153 0.3501847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.4201516609132]
Predicted rank: [0], ambiguousness: [[0.86296904 0.13703096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.45447351719753]
Predicted rank: [0], ambiguousness: [[0.64858377 0.3514162 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.5184602461971]
Predicted rank: [0], ambiguousness: [[0.7220402  0.27795982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.04981735854082]
Predicted rank: [0], ambiguousness: [[0.8570605  0.14293952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.19429886952935]
Predicted rank: [0], ambiguousness: [[0.8298199  0.17018011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.53441534790916]
Predicted rank: [0], ambiguousness: [[0.73252463 0.2674754 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.13619302025413]
Predicted rank: [0], ambiguousness: [[0.617438   0.38256198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.45215080998138]
Predicted rank: [0], ambiguousness: [[0.7245649  0.27543506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.70781550931929]
Predicted rank: [0], ambiguousness: [[0.7133478  0.28665224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.94858899935537]
Predicted rank: [0], ambiguousness: [[0.8029785  0.19702148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.25690403673693]
Predicted rank: [0], ambiguousness: [[0.7817241  0.21827589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.37110070997834]
Predicted rank: [0], ambiguousness: [[0.80003035 0.19996968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.41571470767241]
Predicted rank: [0], ambiguousness: [[0.89678305 0.10321695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.36721345937363]
Predicted rank: [0], ambiguousness: [[0.5824932 0.4175068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.59556425796333]
Predicted rank: [0], ambiguousness: [[0.5941986 0.4058014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.85206001749111]
Predicted rank: [0], ambiguousness: [[0.71222305 0.28777692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.91910036695336]
Predicted rank: [0], ambiguousness: [[0.89623064 0.10376934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.21366265635885]
Predicted rank: [0], ambiguousness: [[0.79181063 0.20818934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.32127643833024]
Predicted rank: [0], ambiguousness: [[0.92683244 0.07316753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.39127118495423]
Predicted rank: [0], ambiguousness: [[0.81590515 0.18409485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.90560347575203]
Predicted rank: [0], ambiguousness: [[0.64572847 0.35427156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.0138228607178]
Predicted rank: [0], ambiguousness: [[0.8891923  0.11080773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.12967631656814]
Predicted rank: [0], ambiguousness: [[0.7771437  0.22285628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.22210036837889]
Predicted rank: [0], ambiguousness: [[0.6507238  0.34927619]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.0443632462719]
Predicted rank: [0], ambiguousness: [[0.7060771 0.2939229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.29484702761658]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.86872151766988]
Predicted rank: [0], ambiguousness: [[0.80121386 0.19878614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.01829747508073]
Predicted rank: [0], ambiguousness: [[0.8346422 0.1653578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.35073202114607]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.36520594611926]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.63827051719932]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.91470820891524]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.02098326619432]
Predicted rank: [0], ambiguousness: [[0.8442461  0.15575391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.33738195594589]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.44468344914]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.48723937664175]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.73845037020716]
Predicted rank: [0], ambiguousness: [[0.6772597  0.32274032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.0882486894969]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.23553555748441]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.27668578354299]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.34153088971851]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.41465602889268]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.44896378445014]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.2576814658022]
Predicted rank: [0], ambiguousness: [[0.7186258 0.2813742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.85870117462679]
Predicted rank: [0], ambiguousness: [[0.8115562 0.1884438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.00835407306127]
Predicted rank: [0], ambiguousness: [[0.8140981  0.18590188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.34075287164876]
Predicted rank: [0], ambiguousness: [[0.7109455 0.2890545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.88906639696529]
Predicted rank: [0], ambiguousness: [[0.6094289  0.39057115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.22626199797602]
Predicted rank: [0], ambiguousness: [[0.7127801  0.28721988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.4677032359782]
Predicted rank: [0], ambiguousness: [[0.7119886  0.28801137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.77744131402319]
Predicted rank: [0], ambiguousness: [[0.8110349  0.18896511]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.07769160038356]
Predicted rank: [0], ambiguousness: [[0.78567404 0.21432595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.19686485590533]
Predicted rank: [0], ambiguousness: [[0.81170213 0.18829788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.24307088532319]
Predicted rank: [0], ambiguousness: [[0.8943187  0.10568128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.22278220968914]
Predicted rank: [0], ambiguousness: [[0.5682517  0.43174827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.44273923149524]
Predicted rank: [0], ambiguousness: [[0.59980476 0.40019524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.70800447651388]
Predicted rank: [0], ambiguousness: [[0.7119736 0.2880264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.77684006176128]
Predicted rank: [0], ambiguousness: [[0.886335   0.11366495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.0903826096081]
Predicted rank: [0], ambiguousness: [[0.8153126  0.18468736]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.20014757472421]
Predicted rank: [0], ambiguousness: [[0.9246307  0.07536928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.27247295018037]
Predicted rank: [0], ambiguousness: [[0.8236383  0.17636171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.84600256105668]
Predicted rank: [0], ambiguousness: [[0.64545    0.35454997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.9546877114318]
Predicted rank: [0], ambiguousness: [[0.881871   0.11812899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.0713385015913]
Predicted rank: [0], ambiguousness: [[0.7659143  0.23408568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.1644860846169]
Predicted rank: [0], ambiguousness: [[0.643983 0.356017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.10259219399366]
Predicted rank: [0], ambiguousness: [[0.6364057  0.36359432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.42497525825203]
Predicted rank: [0], ambiguousness: [[0.7206695  0.27933046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.67817571062275]
Predicted rank: [0], ambiguousness: [[0.7093574  0.29064265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.9408073781226]
Predicted rank: [0], ambiguousness: [[0.8389491  0.16105095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.2487800821504]
Predicted rank: [0], ambiguousness: [[0.843622   0.15637796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.36326115335866]
Predicted rank: [0], ambiguousness: [[0.8111637  0.18883626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.40798234524225]
Predicted rank: [0], ambiguousness: [[0.90902996 0.09097005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.96597624964437]
Predicted rank: [0], ambiguousness: [[0.57914597 0.42085403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.15864615732524]
Predicted rank: [0], ambiguousness: [[0.5908793  0.40912065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.47511630542361]
Predicted rank: [0], ambiguousness: [[0.7093971  0.29060295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.55135464422094]
Predicted rank: [0], ambiguousness: [[0.8949451  0.10505489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.99045079277876]
Predicted rank: [0], ambiguousness: [[0.7857268 0.2142732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.10582520315128]
Predicted rank: [0], ambiguousness: [[0.9243172  0.07568283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.18458643447411]
Predicted rank: [0], ambiguousness: [[0.8145341  0.18546589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.23609612375574]
Predicted rank: [0], ambiguousness: [[0.5552559  0.44474408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.40854156785731]
Predicted rank: [0], ambiguousness: [[0.8460736  0.15392634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.62722172786212]
Predicted rank: [0], ambiguousness: [[0.77475363 0.22524638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.98219370999729]
Predicted rank: [0], ambiguousness: [[0.7890912 0.2109088]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.68000651261883]
Predicted rank: [0], ambiguousness: [[0.64960897 0.350391  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.36493776746119]
Predicted rank: [0], ambiguousness: [[0.72088563 0.2791144 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.95091338385267]
Predicted rank: [0], ambiguousness: [[0.7910151  0.20898493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.09886043948714]
Predicted rank: [0], ambiguousness: [[0.8095424 0.1904576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.43415209232569]
Predicted rank: [0], ambiguousness: [[0.7263495 0.2736505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.00198027601739]
Predicted rank: [0], ambiguousness: [[0.59893453 0.4010655 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.33321903009607]
Predicted rank: [0], ambiguousness: [[0.7402308 0.2597692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.57938586381007]
Predicted rank: [0], ambiguousness: [[0.7516631  0.24833693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.8701569919017]
Predicted rank: [0], ambiguousness: [[0.83514595 0.16485405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.1735310867749]
Predicted rank: [0], ambiguousness: [[0.7959516 0.2040484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.29102062411911]
Predicted rank: [0], ambiguousness: [[0.8408208  0.15917924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.33667902542268]
Predicted rank: [0], ambiguousness: [[0.9050313  0.09496868]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.31568908165742]
Predicted rank: [0], ambiguousness: [[0.6017988  0.39820126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.53945818561849]
Predicted rank: [0], ambiguousness: [[0.6146235 0.3853765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.80113534024736]
Predicted rank: [0], ambiguousness: [[0.7593747  0.24062532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.8692072585861]
Predicted rank: [0], ambiguousness: [[0.901469   0.09853103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.17567179038527]
Predicted rank: [0], ambiguousness: [[0.8527992  0.14720085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.28446796277467]
Predicted rank: [0], ambiguousness: [[0.92597926 0.07402077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.35576617971053]
Predicted rank: [0], ambiguousness: [[0.83154076 0.16845925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.90830040696764]
Predicted rank: [0], ambiguousness: [[0.6991732 0.3008268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.01655462621208]
Predicted rank: [0], ambiguousness: [[0.88388854 0.11611146]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.13249188620267]
Predicted rank: [0], ambiguousness: [[0.78275615 0.21724384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.22485077840358]
Predicted rank: [0], ambiguousness: [[0.6808523 0.3191477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 107.94515118463107]
Predicted rank: [0], ambiguousness: [[0.60099447 0.39900553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.28513997729573]
Predicted rank: [0], ambiguousness: [[0.71056753 0.28943247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.52811619282187]
Predicted rank: [0], ambiguousness: [[0.7081414 0.2918586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.84894961781761]
Predicted rank: [0], ambiguousness: [[0.8206849 0.1793151]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.15206498446855]
Predicted rank: [0], ambiguousness: [[0.80434453 0.1956555 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.26978524661212]
Predicted rank: [0], ambiguousness: [[0.8036519  0.19634807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.31554467470234]
Predicted rank: [0], ambiguousness: [[0.90068626 0.09931372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 107.83455785870075]
Predicted rank: [0], ambiguousness: [[0.5468717  0.45312828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.01635209064617]
Predicted rank: [0], ambiguousness: [[0.58945704 0.41054296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.34883422144715]
Predicted rank: [0], ambiguousness: [[0.7030904  0.29690954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.42775641226629]
Predicted rank: [0], ambiguousness: [[0.8773054 0.1226946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.90603878791012]
Predicted rank: [0], ambiguousness: [[0.79882807 0.20117195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.02391046986502]
Predicted rank: [0], ambiguousness: [[0.9135144  0.08648563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.10539666096291]
Predicted rank: [0], ambiguousness: [[0.80517155 0.19482844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.17348110874539]
Predicted rank: [0], ambiguousness: [[0.54773694 0.45226306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.34854192823326]
Predicted rank: [0], ambiguousness: [[0.8262025 0.1737975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.57202778422047]
Predicted rank: [0], ambiguousness: [[0.75001645 0.24998355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.93989365267109]
Predicted rank: [0], ambiguousness: [[0.7913456 0.2086544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.67875497905622]
Predicted rank: [0], ambiguousness: [[0.6179062  0.38209376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.00388033728814]
Predicted rank: [0], ambiguousness: [[0.5594591  0.44054094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.19674050771599]
Predicted rank: [0], ambiguousness: [[0.6139877 0.3860123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.51674282681574]
Predicted rank: [0], ambiguousness: [[0.7085635 0.2914365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.59316353208534]
Predicted rank: [0], ambiguousness: [[0.88764286 0.11235715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.04507614021821]
Predicted rank: [0], ambiguousness: [[0.8258921  0.17410791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.15989634186603]
Predicted rank: [0], ambiguousness: [[0.9398098  0.06019017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.23800564712856]
Predicted rank: [0], ambiguousness: [[0.8204084 0.1795916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 106.83351923052702]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.03222551088766]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.30659002139598]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.81301475502389]
Predicted rank: [0], ambiguousness: [[0.7736531  0.22634692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 106.99410035601721]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Running local search 7
Switching 7 patient(s). Size of neighborhood: 77520
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.56517856462531]
Predicted rank: [0], ambiguousness: [[0.7517422  0.24825782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.42645152470959]
Predicted rank: [0], ambiguousness: [[0.75784755 0.24215244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.00722245974796]
Predicted rank: [0], ambiguousness: [[0.8499573  0.15004271]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.11545194110296]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.34077728235924]
Predicted rank: [0], ambiguousness: [[0.79328966 0.20671035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.47735052607376]
Predicted rank: [0], ambiguousness: [[0.8226034  0.17739658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.67819909114061]
Predicted rank: [0], ambiguousness: [[0.6225307  0.37746933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.37487059588481]
Predicted rank: [0], ambiguousness: [[0.75792766 0.24207236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.77531327331975]
Predicted rank: [0], ambiguousness: [[0.8582974 0.1417026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.98787008597304]
Predicted rank: [0], ambiguousness: [[0.85543334 0.14456667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.21476130839856]
Predicted rank: [0], ambiguousness: [[0.79718626 0.20281377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.35198686996888]
Predicted rank: [0], ambiguousness: [[0.82684606 0.17315395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.55144415927083]
Predicted rank: [0], ambiguousness: [[0.634454   0.36554596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.69606211810924]
Predicted rank: [0], ambiguousness: [[0.853475   0.14652503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.10526596705255]
Predicted rank: [0], ambiguousness: [[0.8533494 0.1466506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.70563530202331]
Predicted rank: [0], ambiguousness: [[0.8891948 0.1108052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.90801931617099]
Predicted rank: [0], ambiguousness: [[0.9139648  0.08603521]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.99410794215133]
Predicted rank: [0], ambiguousness: [[0.76481843 0.2351816 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.78123385730342]
Predicted rank: [0], ambiguousness: [[0.8417076 0.1582924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.02380620862971]
Predicted rank: [0], ambiguousness: [[0.8670617  0.13293834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.17114819694812]
Predicted rank: [0], ambiguousness: [[0.77731514 0.22268483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.22523196526944]
Predicted rank: [0], ambiguousness: [[0.7993803 0.2006197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.3896296243953]
Predicted rank: [0], ambiguousness: [[0.7067666  0.29323336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.48496662637281]
Predicted rank: [0], ambiguousness: [[0.70178294 0.2982171 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.52626235457674]
Predicted rank: [0], ambiguousness: [[0.8634227  0.13657731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.77303696215881]
Predicted rank: [0], ambiguousness: [[0.8594483  0.14055169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.98525823422625]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.2120494153724]
Predicted rank: [0], ambiguousness: [[0.79871714 0.20128286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.34923461328145]
Predicted rank: [0], ambiguousness: [[0.834071 0.165929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.54878199698649]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.4055123109097]
Predicted rank: [0], ambiguousness: [[0.8492005  0.15079954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.87055582500747]
Predicted rank: [0], ambiguousness: [[0.84907186 0.15092811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.50580069751922]
Predicted rank: [0], ambiguousness: [[0.88982826 0.11017174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.71317976731233]
Predicted rank: [0], ambiguousness: [[0.9148933  0.08510669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.79060561453151]
Predicted rank: [0], ambiguousness: [[0.78392804 0.21607195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.68550608663446]
Predicted rank: [0], ambiguousness: [[0.83715534 0.16284467]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.92947648655657]
Predicted rank: [0], ambiguousness: [[0.86375904 0.13624093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.07525156786849]
Predicted rank: [0], ambiguousness: [[0.7761642  0.22383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.13228954165976]
Predicted rank: [0], ambiguousness: [[0.80031383 0.19968617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.29527065409215]
Predicted rank: [0], ambiguousness: [[0.7115725  0.28842744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.39120080867312]
Predicted rank: [0], ambiguousness: [[0.7015282 0.2984718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.43269540398384]
Predicted rank: [0], ambiguousness: [[0.8509189  0.14908113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.69730622932568]
Predicted rank: [0], ambiguousness: [[0.8695604  0.13043958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.58386422426715]
Predicted rank: [0], ambiguousness: [[0.85162055 0.14837943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.40233963546743]
Predicted rank: [0], ambiguousness: [[0.8855454  0.11445462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.62018051329048]
Predicted rank: [0], ambiguousness: [[0.9132464 0.0867536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.68591815304082]
Predicted rank: [0], ambiguousness: [[0.7655595  0.23444052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.59609727559652]
Predicted rank: [0], ambiguousness: [[0.7845876  0.21541238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.99989389759358]
Predicted rank: [0], ambiguousness: [[0.852494   0.14750598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.97813367935078]
Predicted rank: [0], ambiguousness: [[0.77492636 0.22507364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.5737298390559]
Predicted rank: [0], ambiguousness: [[0.89351577 0.10648424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.61301578624276]
Predicted rank: [0], ambiguousness: [[0.83741677 0.16258322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.77366515858563]
Predicted rank: [0], ambiguousness: [[0.84637904 0.15362099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.83693278762425]
Predicted rank: [0], ambiguousness: [[0.9219218  0.07807822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.65397260444848]
Predicted rank: [0], ambiguousness: [[0.8223832  0.17761678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.74531509219236]
Predicted rank: [0], ambiguousness: [[0.74774235 0.25225765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.96572618983305]
Predicted rank: [0], ambiguousness: [[0.7921651  0.20783491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.02661046303103]
Predicted rank: [0], ambiguousness: [[0.92277545 0.07722455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.1321626796144]
Predicted rank: [0], ambiguousness: [[0.7025293  0.29747066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.23902738867446]
Predicted rank: [0], ambiguousness: [[0.9039303  0.09606966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.29293224033361]
Predicted rank: [0], ambiguousness: [[0.72124577 0.2787542 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.59709184831559]
Predicted rank: [0], ambiguousness: [[0.85615754 0.14384244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.05721145586895]
Predicted rank: [0], ambiguousness: [[0.86101645 0.13898355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.67720890647044]
Predicted rank: [0], ambiguousness: [[0.885452   0.11454804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.8820126453372]
Predicted rank: [0], ambiguousness: [[0.922164   0.07783599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.96433506095246]
Predicted rank: [0], ambiguousness: [[0.8100168  0.18998317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.81369203132107]
Predicted rank: [0], ambiguousness: [[0.83108383 0.16891615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.05617377606856]
Predicted rank: [0], ambiguousness: [[0.8792252  0.12077483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.2039365523691]
Predicted rank: [0], ambiguousness: [[0.8093653  0.19063476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.25730228484758]
Predicted rank: [0], ambiguousness: [[0.8313297  0.16867033]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.42209511805908]
Predicted rank: [0], ambiguousness: [[0.7241559  0.27584407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.5173904964642]
Predicted rank: [0], ambiguousness: [[0.75004476 0.24995525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.55866363309732]
Predicted rank: [0], ambiguousness: [[0.870077   0.12992296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.56542905400529]
Predicted rank: [0], ambiguousness: [[0.85875803 0.14124198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.40957053830465]
Predicted rank: [0], ambiguousness: [[0.8440129  0.15598707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.29146638077194]
Predicted rank: [0], ambiguousness: [[0.8794309 0.1205691]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.51444091080468]
Predicted rank: [0], ambiguousness: [[0.90890855 0.09109143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.57287791105736]
Predicted rank: [0], ambiguousness: [[0.772666   0.22733404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.52473825498474]
Predicted rank: [0], ambiguousness: [[0.7744533  0.22554669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.9361184023462]
Predicted rank: [0], ambiguousness: [[0.84563196 0.15436807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.90807268532066]
Predicted rank: [0], ambiguousness: [[0.7686174  0.23138261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.52900433105299]
Predicted rank: [0], ambiguousness: [[0.89548385 0.10451615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.5642120472805]
Predicted rank: [0], ambiguousness: [[0.84203833 0.15796167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.7272698926017]
Predicted rank: [0], ambiguousness: [[0.8571897  0.14281027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.79130196178872]
Predicted rank: [0], ambiguousness: [[0.9175632  0.08243677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.67006048505041]
Predicted rank: [0], ambiguousness: [[0.81442535 0.18557468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.76179790223146]
Predicted rank: [0], ambiguousness: [[0.7466315 0.2533685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.98219554259998]
Predicted rank: [0], ambiguousness: [[0.7871157  0.21288428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.04305214551346]
Predicted rank: [0], ambiguousness: [[0.9093353  0.09066466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.14835929164202]
Predicted rank: [0], ambiguousness: [[0.70332026 0.29667974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.2551974479851]
Predicted rank: [0], ambiguousness: [[0.8905621  0.10943789]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.3090991554541]
Predicted rank: [0], ambiguousness: [[0.6929611 0.3070389]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.68861277164388]
Predicted rank: [0], ambiguousness: [[0.84547937 0.15452063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.52112078064982]
Predicted rank: [0], ambiguousness: [[0.9236099 0.0763901]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.73721937346852]
Predicted rank: [0], ambiguousness: [[0.9163154  0.08368465]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.80641970680108]
Predicted rank: [0], ambiguousness: [[0.79090357 0.20909642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.11698525085689]
Predicted rank: [0], ambiguousness: [[0.77293724 0.22706275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.59886152149542]
Predicted rank: [0], ambiguousness: [[0.84378505 0.15621492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.53559697222035]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.37803646596987]
Predicted rank: [0], ambiguousness: [[0.88460356 0.11539645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.399258956075]
Predicted rank: [0], ambiguousness: [[0.83096516 0.16903484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.57380466967228]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.64128030265931]
Predicted rank: [0], ambiguousness: [[0.9182639  0.08173606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.50967007587097]
Predicted rank: [0], ambiguousness: [[0.750318 0.249682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.40762356970262]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.79969742627138]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.90105512072999]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.36837897058646]
Predicted rank: [0], ambiguousness: [[0.83707666 0.16292335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.52914429332671]
Predicted rank: [0], ambiguousness: [[0.9453793  0.05462066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.63856309391137]
Predicted rank: [0], ambiguousness: [[0.85142934 0.14857063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.48517296176814]
Predicted rank: [0], ambiguousness: [[0.7111707 0.2888293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.64439564316152]
Predicted rank: [0], ambiguousness: [[0.91642    0.08358002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.82032772047467]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.96753210211139]
Predicted rank: [0], ambiguousness: [[0.7066629 0.2933371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.5620544019936]
Predicted rank: [0], ambiguousness: [[0.66462135 0.33537862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.41732786137692]
Predicted rank: [0], ambiguousness: [[0.6756313  0.32436872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.99809879641529]
Predicted rank: [0], ambiguousness: [[0.7885194 0.2114806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.10632827777032]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.33165361902658]
Predicted rank: [0], ambiguousness: [[0.71863925 0.28136078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.46822686274112]
Predicted rank: [0], ambiguousness: [[0.75527334 0.24472663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.66907542780797]
Predicted rank: [0], ambiguousness: [[0.5888219  0.41117814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.34903291222528]
Predicted rank: [0], ambiguousness: [[0.67572695 0.32427305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.75239603610007]
Predicted rank: [0], ambiguousness: [[0.80047    0.19952998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.96511631040035]
Predicted rank: [0], ambiguousness: [[0.7989553  0.20104471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.19200875985862]
Predicted rank: [0], ambiguousness: [[0.7252612  0.27473882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.3292348586081]
Predicted rank: [0], ambiguousness: [[0.7623031  0.23769687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.52869102967236]
Predicted rank: [0], ambiguousness: [[0.60329777 0.39670223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.67366059760309]
Predicted rank: [0], ambiguousness: [[0.79330933 0.20669064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.08286444654638]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.68323378151715]
Predicted rank: [0], ambiguousness: [[0.84434956 0.15565044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.88561779566481]
Predicted rank: [0], ambiguousness: [[0.8749995 0.1250005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.97170642164518]
Predicted rank: [0], ambiguousness: [[0.72237206 0.27762792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.75883233679727]
Predicted rank: [0], ambiguousness: [[0.77845085 0.22154918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.00140468812356]
Predicted rank: [0], ambiguousness: [[0.8116698  0.18833017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.14874667644197]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.2028304447633]
Predicted rank: [0], ambiguousness: [[0.72474027 0.2752597 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.36722810388915]
Predicted rank: [0], ambiguousness: [[0.67510056 0.32489944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.46256510586666]
Predicted rank: [0], ambiguousness: [[0.6698301  0.33016995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.5038608340706]
Predicted rank: [0], ambiguousness: [[0.8449628  0.15503724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.69514530976434]
Predicted rank: [0], ambiguousness: [[0.80098677 0.19901322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.91353736300107]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.14042858542658]
Predicted rank: [0], ambiguousness: [[0.7253481  0.27465186]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.27765414699691]
Predicted rank: [0], ambiguousness: [[0.7698758  0.23012418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.47711143629886]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.3387844471967]
Predicted rank: [0], ambiguousness: [[0.7976583  0.20234166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.80693477564043]
Predicted rank: [0], ambiguousness: [[0.79749626 0.20250373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.4441119105642]
Predicted rank: [0], ambiguousness: [[0.8529475  0.14705253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.6517686638673]
Predicted rank: [0], ambiguousness: [[0.88270307 0.11729696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.728706876421]
Predicted rank: [0], ambiguousness: [[0.75513554 0.24486446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.62940075758564]
Predicted rank: [0], ambiguousness: [[0.78255045 0.21744956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.87346240252705]
Predicted rank: [0], ambiguousness: [[0.8161155  0.18388452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.01912937798409]
Predicted rank: [0], ambiguousness: [[0.7600168  0.23998323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.07637052173051]
Predicted rank: [0], ambiguousness: [[0.7372329  0.26276705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.23925370660174]
Predicted rank: [0], ambiguousness: [[0.6926109  0.30738908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33522259853922]
Predicted rank: [0], ambiguousness: [[0.68220115 0.31779882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.37673035164946]
Predicted rank: [0], ambiguousness: [[0.8390459  0.16095409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.64640837952996]
Predicted rank: [0], ambiguousness: [[0.8181223  0.18187767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.53211068333152]
Predicted rank: [0], ambiguousness: [[0.7947776  0.20522243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.35148530302382]
Predicted rank: [0], ambiguousness: [[0.8392455  0.16075449]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.56943129283371]
Predicted rank: [0], ambiguousness: [[0.8765906  0.12340936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.6349901552197]
Predicted rank: [0], ambiguousness: [[0.73011506 0.2698849 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.54539404610833]
Predicted rank: [0], ambiguousness: [[0.71078587 0.28921416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.94937922407067]
Predicted rank: [0], ambiguousness: [[0.7959055  0.20409456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.92742631836742]
Predicted rank: [0], ambiguousness: [[0.7519206  0.24807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.52361609237633]
Predicted rank: [0], ambiguousness: [[0.85312295 0.14687707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.56275550683894]
Predicted rank: [0], ambiguousness: [[0.81403947 0.18596053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.72347495071631]
Predicted rank: [0], ambiguousness: [[0.8202851  0.17971495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.78676587388617]
Predicted rank: [0], ambiguousness: [[0.9063157  0.09368432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.6050315509323]
Predicted rank: [0], ambiguousness: [[0.7575287  0.24247128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.69630885129723]
Predicted rank: [0], ambiguousness: [[0.7229514  0.27704862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.9167698279519]
Predicted rank: [0], ambiguousness: [[0.77039933 0.22960068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.97766436683943]
Predicted rank: [0], ambiguousness: [[0.913189 0.086811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.08325709842865]
Predicted rank: [0], ambiguousness: [[0.67522496 0.32477504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.19013739066382]
Predicted rank: [0], ambiguousness: [[0.8922776  0.10772238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.24405861484442]
Predicted rank: [0], ambiguousness: [[0.6949133  0.30508667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.32228762669517]
Predicted rank: [0], ambiguousness: [[0.7991865  0.20081346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.80456941346773]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.4419128015561]
Predicted rank: [0], ambiguousness: [[0.85413444 0.14586554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.6495163845765]
Predicted rank: [0], ambiguousness: [[0.8879133  0.11208674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.72658298948369]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.62690294940747]
Predicted rank: [0], ambiguousness: [[0.78416187 0.21583813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.8708733493296]
Predicted rank: [0], ambiguousness: [[0.8236927  0.17630734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.01664843064151]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.07368640443278]
Predicted rank: [0], ambiguousness: [[0.7597915  0.24020852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.23666751686517]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33259767144617]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.37409226675688]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.31366378522931]
Predicted rank: [0], ambiguousness: [[0.80157834 0.19842167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.12699489172428]
Predicted rank: [0], ambiguousness: [[0.78921366 0.21078637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.04844709922152]
Predicted rank: [0], ambiguousness: [[0.83463633 0.16536368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.27565265121507]
Predicted rank: [0], ambiguousness: [[0.8734903  0.12650974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.32699709212247]
Predicted rank: [0], ambiguousness: [[0.7435324  0.25646755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.29248614934484]
Predicted rank: [0], ambiguousness: [[0.7037934 0.2962066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.7112843458151]
Predicted rank: [0], ambiguousness: [[0.7912607  0.20873927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.67581346283083]
Predicted rank: [0], ambiguousness: [[0.75068045 0.24931957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.32050415934395]
Predicted rank: [0], ambiguousness: [[0.8588003  0.14119974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.35016369042528]
Predicted rank: [0], ambiguousness: [[0.8234644  0.17653558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.51587825401441]
Predicted rank: [0], ambiguousness: [[0.83659744 0.16340259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.58079062009658]
Predicted rank: [0], ambiguousness: [[0.9074872  0.09251281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.50862397572614]
Predicted rank: [0], ambiguousness: [[0.7522825  0.24771748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.59810440878944]
Predicted rank: [0], ambiguousness: [[0.72759426 0.2724057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.82012005805466]
Predicted rank: [0], ambiguousness: [[0.77018404 0.22981596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.88131916218687]
Predicted rank: [0], ambiguousness: [[0.90473866 0.09526132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.98797658194047]
Predicted rank: [0], ambiguousness: [[0.682413   0.31758702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.09533407515747]
Predicted rank: [0], ambiguousness: [[0.88513386 0.11486612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.14976637764042]
Predicted rank: [0], ambiguousness: [[0.6812399 0.3187601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.50032986061599]
Predicted rank: [0], ambiguousness: [[0.79158956 0.20841043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.35211528222135]
Predicted rank: [0], ambiguousness: [[0.8938582  0.10614183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.5705169633151]
Predicted rank: [0], ambiguousness: [[0.88407916 0.11592086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.63555471381531]
Predicted rank: [0], ambiguousness: [[0.75586915 0.24413083]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.92447162534748]
Predicted rank: [0], ambiguousness: [[0.7079515 0.2920485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.41395411174403]
Predicted rank: [0], ambiguousness: [[0.79366314 0.20633689]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.34417665418967]
Predicted rank: [0], ambiguousness: [[0.7493472 0.2506528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.21066404422943]
Predicted rank: [0], ambiguousness: [[0.84517515 0.15482482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.22738086327884]
Predicted rank: [0], ambiguousness: [[0.80446154 0.19553846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.40418812073926]
Predicted rank: [0], ambiguousness: [[0.8189394 0.1810606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.47240731165196]
Predicted rank: [0], ambiguousness: [[0.90759987 0.09240014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.34054288078241]
Predicted rank: [0], ambiguousness: [[0.68152595 0.31847402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.23299853456027]
Predicted rank: [0], ambiguousness: [[0.6412432 0.3587568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.629891925013]
Predicted rank: [0], ambiguousness: [[0.7483139 0.2516861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.73229337890407]
Predicted rank: [0], ambiguousness: [[0.9120929  0.08790708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.20855969979795]
Predicted rank: [0], ambiguousness: [[0.8151925  0.18480746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.37069142101248]
Predicted rank: [0], ambiguousness: [[0.93948275 0.06051726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.48153455578765]
Predicted rank: [0], ambiguousness: [[0.8336253 0.1663747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.35349462767797]
Predicted rank: [0], ambiguousness: [[0.68648773 0.31351227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.5134842193361]
Predicted rank: [0], ambiguousness: [[0.9106092  0.08939083]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.6906748552818]
Predicted rank: [0], ambiguousness: [[0.8072956  0.19270436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.8393171723472]
Predicted rank: [0], ambiguousness: [[0.6911832  0.30881676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.50771701372322]
Predicted rank: [0], ambiguousness: [[0.7967924  0.20320761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.35465232174849]
Predicted rank: [0], ambiguousness: [[0.80480635 0.19519362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.24502911899185]
Predicted rank: [0], ambiguousness: [[0.8284902  0.17150982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.46857499201788]
Predicted rank: [0], ambiguousness: [[0.88384897 0.11615101]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.52623708491925]
Predicted rank: [0], ambiguousness: [[0.7730868  0.22691318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.48780785801797]
Predicted rank: [0], ambiguousness: [[0.6945638 0.3054362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.899630154949]
Predicted rank: [0], ambiguousness: [[0.81317675 0.18682328]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.87124714365041]
Predicted rank: [0], ambiguousness: [[0.7866223 0.2133777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.49363968074317]
Predicted rank: [0], ambiguousness: [[0.87773544 0.12226455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.52863880741545]
Predicted rank: [0], ambiguousness: [[0.83231664 0.1676834 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.69181715260447]
Predicted rank: [0], ambiguousness: [[0.8625183  0.13748172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.75588692256787]
Predicted rank: [0], ambiguousness: [[0.91698885 0.08301117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.63756483443058]
Predicted rank: [0], ambiguousness: [[0.77713823 0.22286177]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.72930225161164]
Predicted rank: [0], ambiguousness: [[0.7397343 0.2602657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.94969989198015]
Predicted rank: [0], ambiguousness: [[0.81055427 0.1894457 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.01055649489362]
Predicted rank: [0], ambiguousness: [[0.91764987 0.08235011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.11586364102219]
Predicted rank: [0], ambiguousness: [[0.7460638  0.25393617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.22270179736526]
Predicted rank: [0], ambiguousness: [[0.88710284 0.11289719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.27660350483427]
Predicted rank: [0], ambiguousness: [[0.701802   0.29819798]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.27710526027121]
Predicted rank: [0], ambiguousness: [[0.7832811  0.21671891]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.21286306431222]
Predicted rank: [0], ambiguousness: [[0.851549   0.14845094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.43677402484124]
Predicted rank: [0], ambiguousness: [[0.87430537 0.12569465]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.49404320532904]
Predicted rank: [0], ambiguousness: [[0.7468442 0.2531558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.72143459323684]
Predicted rank: [0], ambiguousness: [[0.6956106  0.30438942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.23528515429074]
Predicted rank: [0], ambiguousness: [[0.78475523 0.21524476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.15008376192148]
Predicted rank: [0], ambiguousness: [[0.74255943 0.2574406 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.09650633485062]
Predicted rank: [0], ambiguousness: [[0.84262407 0.15737593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.10520611401552]
Predicted rank: [0], ambiguousness: [[0.80353487 0.19646513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.28728544459007]
Predicted rank: [0], ambiguousness: [[0.82558    0.17441997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.35717552063787]
Predicted rank: [0], ambiguousness: [[0.8989302 0.1010698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.26583499111598]
Predicted rank: [0], ambiguousness: [[0.6697911 0.3302089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.15064718383458]
Predicted rank: [0], ambiguousness: [[0.63988924 0.36011073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.55612008035453]
Predicted rank: [0], ambiguousness: [[0.7425454  0.25745457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.66022524643716]
Predicted rank: [0], ambiguousness: [[0.89700115 0.10299885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.15636902847483]
Predicted rank: [0], ambiguousness: [[0.83257115 0.16742882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.3204495983931]
Predicted rank: [0], ambiguousness: [[0.9332326  0.06676742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.43343544628502]
Predicted rank: [0], ambiguousness: [[0.8307503  0.16924971]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.37009585608922]
Predicted rank: [0], ambiguousness: [[0.6799084  0.32009163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.5300644371815]
Predicted rank: [0], ambiguousness: [[0.8980655  0.10193449]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.7072694542783]
Predicted rank: [0], ambiguousness: [[0.7851412  0.21485879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.85562862448816]
Predicted rank: [0], ambiguousness: [[0.6688955  0.33110455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.02618944613644]
Predicted rank: [0], ambiguousness: [[0.71873736 0.2812626 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.51891592312506]
Predicted rank: [0], ambiguousness: [[0.78572667 0.2142733 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.45129780828853]
Predicted rank: [0], ambiguousness: [[0.74858767 0.25141233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.33058148318199]
Predicted rank: [0], ambiguousness: [[0.8711235 0.1288765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.35108839490715]
Predicted rank: [0], ambiguousness: [[0.8624893  0.13751073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.52617601493614]
Predicted rank: [0], ambiguousness: [[0.83093977 0.16906022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.59385279138722]
Predicted rank: [0], ambiguousness: [[0.91627717 0.08372281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.83124477224655]
Predicted rank: [0], ambiguousness: [[0.6666697  0.33333024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.67007313628363]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.15935582211549]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.27561738152578]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.97659820802772]
Predicted rank: [0], ambiguousness: [[0.80406857 0.1959314 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.14998322978482]
Predicted rank: [0], ambiguousness: [[0.93254507 0.0674549 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.2735641939173]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.84327163916548]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.10347816642854]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.44116759295032]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.00240526624516]
Predicted rank: [0], ambiguousness: [[0.80436575 0.19563422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.13253899599242]
Predicted rank: [0], ambiguousness: [[0.6784966  0.32150343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.56137432109469]
Predicted rank: [0], ambiguousness: [[0.69961417 0.30038583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.41434301262504]
Predicted rank: [0], ambiguousness: [[0.6822569  0.31774312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.99511394766341]
Predicted rank: [0], ambiguousness: [[0.7811998  0.21880017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.10334342901842]
Predicted rank: [0], ambiguousness: [[0.7965192 0.2034808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.3286687702747]
Predicted rank: [0], ambiguousness: [[0.7190255  0.28097448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.46524201398921]
Predicted rank: [0], ambiguousness: [[0.7585652  0.24143481]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.66609057905606]
Predicted rank: [0], ambiguousness: [[0.5363262  0.46367377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.33988783648955]
Predicted rank: [0], ambiguousness: [[0.7109208  0.28907916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.74339175788526]
Predicted rank: [0], ambiguousness: [[0.8272106 0.1727894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.95611203218556]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.18300448164382]
Predicted rank: [0], ambiguousness: [[0.7540608 0.2459392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.3202305803933]
Predicted rank: [0], ambiguousness: [[0.79100686 0.20899312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.51968675145756]
Predicted rank: [0], ambiguousness: [[0.5552836 0.4447164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.66465631938829]
Predicted rank: [0], ambiguousness: [[0.8191571  0.18084285]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.07386016833158]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.67422950330234]
Predicted rank: [0], ambiguousness: [[0.859976   0.14002399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.87661351745002]
Predicted rank: [0], ambiguousness: [[0.89202195 0.10797804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.96270214343039]
Predicted rank: [0], ambiguousness: [[0.6965472 0.3034528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.74982805858247]
Predicted rank: [0], ambiguousness: [[0.80318785 0.19681214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.99240040990875]
Predicted rank: [0], ambiguousness: [[0.83569705 0.16430292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.13974239822717]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.19382616654849]
Predicted rank: [0], ambiguousness: [[0.75653136 0.24346867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.35822382567434]
Predicted rank: [0], ambiguousness: [[0.62672293 0.37327707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.45356082765187]
Predicted rank: [0], ambiguousness: [[0.62486124 0.37513873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.49485655585579]
Predicted rank: [0], ambiguousness: [[0.8173424  0.18265758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.66912026006548]
Predicted rank: [0], ambiguousness: [[0.82767296 0.17232701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.88781468201461]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.11470713147288]
Predicted rank: [0], ambiguousness: [[0.7541417  0.24585828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.25193323022238]
Predicted rank: [0], ambiguousness: [[0.79790753 0.20209247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.45138940128663]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.31576650816002]
Predicted rank: [0], ambiguousness: [[0.8239928  0.17600721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.7840621302669]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.4213010293254]
Predicted rank: [0], ambiguousness: [[0.86856174 0.13143823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.62896559569863]
Predicted rank: [0], ambiguousness: [[0.8993655 0.1006345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.7058906990552]
Predicted rank: [0], ambiguousness: [[0.7324523  0.26754776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.60676244210842]
Predicted rank: [0], ambiguousness: [[0.80835056 0.19164944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.8508253170044]
Predicted rank: [0], ambiguousness: [[0.8409033  0.15909675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.99649094821572]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.05373458980708]
Predicted rank: [0], ambiguousness: [[0.7696529  0.23034711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.21661655814293]
Predicted rank: [0], ambiguousness: [[0.64754164 0.3524584 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.31258597122456]
Predicted rank: [0], ambiguousness: [[0.6400963 0.3599037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.35409390170014]
Predicted rank: [0], ambiguousness: [[0.81199455 0.18800545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.62412384312236]
Predicted rank: [0], ambiguousness: [[0.8401512 0.1598488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.50982614692393]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.32920076661622]
Predicted rank: [0], ambiguousness: [[0.8572117  0.14278832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.54714675642609]
Predicted rank: [0], ambiguousness: [[0.8924687  0.10753132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.6127056188121]
Predicted rank: [0], ambiguousness: [[0.70031166 0.29968837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.52310950970073]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.92709468766307]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.90514178195983]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.50133155596873]
Predicted rank: [0], ambiguousness: [[0.868692 0.131308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.54047097043134]
Predicted rank: [0], ambiguousness: [[0.78389823 0.21610178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.7011904143087]
Predicted rank: [0], ambiguousness: [[0.79767984 0.20232016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.76448133747856]
Predicted rank: [0], ambiguousness: [[0.8941761  0.10582384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.58274701452468]
Predicted rank: [0], ambiguousness: [[0.7854402  0.21455976]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.67402431488962]
Predicted rank: [0], ambiguousness: [[0.6767349  0.32326505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.8944852915443]
Predicted rank: [0], ambiguousness: [[0.73227686 0.26772314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.95537983043184]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.06097256202105]
Predicted rank: [0], ambiguousness: [[0.62891173 0.3710883 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.16785285425622]
Predicted rank: [0], ambiguousness: [[0.8646796  0.13532041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.22177407843682]
Predicted rank: [0], ambiguousness: [[0.6499522  0.35004786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.23492838483548]
Predicted rank: [0], ambiguousness: [[0.82446194 0.17553803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.72406558012008]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.36370574981692]
Predicted rank: [0], ambiguousness: [[0.86893106 0.13106897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.57162559427607]
Predicted rank: [0], ambiguousness: [[0.90337133 0.09662864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.6481430262107]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.55518501871222]
Predicted rank: [0], ambiguousness: [[0.80841815 0.19158183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.79924666365362]
Predicted rank: [0], ambiguousness: [[0.8464762  0.15352382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.94491363911065]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.00215478285708]
Predicted rank: [0], ambiguousness: [[0.78871447 0.21128552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.16503796772832]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.26100685966577]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.30251461277601]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.24421463048134]
Predicted rank: [0], ambiguousness: [[0.82753295 0.17246707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.05405048880377]
Predicted rank: [0], ambiguousness: [[0.8229373  0.17706268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.9811378404102]
Predicted rank: [0], ambiguousness: [[0.86045253 0.13954744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.20886096137362]
Predicted rank: [0], ambiguousness: [[0.8955156  0.10448437]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.2594053557001]
Predicted rank: [0], ambiguousness: [[0.7268094  0.27319065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.2279675315711]
Predicted rank: [0], ambiguousness: [[0.7437654 0.2562346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.64759178650874]
Predicted rank: [0], ambiguousness: [[0.8247296  0.17527036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.61136412923867]
Predicted rank: [0], ambiguousness: [[0.72223777 0.27776223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.25874988648175]
Predicted rank: [0], ambiguousness: [[0.8803769  0.11962311]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.28787597312771]
Predicted rank: [0], ambiguousness: [[0.8041697 0.1958303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.45386777069567]
Predicted rank: [0], ambiguousness: [[0.82451046 0.17548953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.51887020563589]
Predicted rank: [0], ambiguousness: [[0.90101117 0.09898883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.45259073345122]
Predicted rank: [0], ambiguousness: [[0.79034513 0.20965487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.54194757534422]
Predicted rank: [0], ambiguousness: [[0.6941972  0.30580282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.76406398160695]
Predicted rank: [0], ambiguousness: [[0.7432052  0.25679478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.82528332693036]
Predicted rank: [0], ambiguousness: [[0.8913269  0.10867309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.93201509854474]
Predicted rank: [0], ambiguousness: [[0.6498153 0.3501847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.03940387747122]
Predicted rank: [0], ambiguousness: [[0.86296904 0.13703096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.09386927867362]
Predicted rank: [0], ambiguousness: [[0.64858377 0.3514162 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.44840869410557]
Predicted rank: [0], ambiguousness: [[0.8196443  0.18035574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.30118934689364]
Predicted rank: [0], ambiguousness: [[0.9083953 0.0916047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.51969731582]
Predicted rank: [0], ambiguousness: [[0.90123695 0.09876306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.58455480947364]
Predicted rank: [0], ambiguousness: [[0.73252463 0.2674754 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.87237798880523]
Predicted rank: [0], ambiguousness: [[0.74056005 0.25943995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.36224007527179]
Predicted rank: [0], ambiguousness: [[0.8215016  0.17849842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.29216305107343]
Predicted rank: [0], ambiguousness: [[0.7133478  0.28665224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.15985760216049]
Predicted rank: [0], ambiguousness: [[0.8672265  0.13277355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.17637901633911]
Predicted rank: [0], ambiguousness: [[0.7817241  0.21827589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.35329168943903]
Predicted rank: [0], ambiguousness: [[0.80003035 0.19996968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.42154519000907]
Predicted rank: [0], ambiguousness: [[0.89678305 0.10321695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.28986730684883]
Predicted rank: [0], ambiguousness: [[0.7191398 0.2808602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.18209610439213]
Predicted rank: [0], ambiguousness: [[0.5941986 0.4058014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.57919850376706]
Predicted rank: [0], ambiguousness: [[0.71222305 0.28777692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.68164460946305]
Predicted rank: [0], ambiguousness: [[0.89623064 0.10376934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.15831052553362]
Predicted rank: [0], ambiguousness: [[0.79181063 0.20818934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.32049989089997]
Predicted rank: [0], ambiguousness: [[0.92683244 0.07316753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.43140391574877]
Predicted rank: [0], ambiguousness: [[0.81590515 0.18409485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.30455511133471]
Predicted rank: [0], ambiguousness: [[0.64572847 0.35427156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.4645727726436]
Predicted rank: [0], ambiguousness: [[0.8891923  0.11080773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.64181065015364]
Predicted rank: [0], ambiguousness: [[0.7771437  0.22285628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.79050314718702]
Predicted rank: [0], ambiguousness: [[0.6507238  0.34927619]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.20851736765644]
Predicted rank: [0], ambiguousness: [[0.81803644 0.18196356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.02665639912962]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.96391530561331]
Predicted rank: [0], ambiguousness: [[0.8615888  0.13841121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.19218955971623]
Predicted rank: [0], ambiguousness: [[0.90022105 0.09977896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.24208348942827]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.22561300078327]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.6452466995928]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.60913791643719]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.25658996947612]
Predicted rank: [0], ambiguousness: [[0.8924395  0.10756055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.28585484384811]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.45179731637555]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.51678099806657]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.45013782259771]
Predicted rank: [0], ambiguousness: [[0.7987224  0.20127764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.53961825566101]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.76163390492624]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.82283300905843]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.92949042881204]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.03684792202904]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.09128022451199]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 104.970201807367]
Predicted rank: [0], ambiguousness: [[0.81712514 0.18287486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.95523987081887]
Predicted rank: [0], ambiguousness: [[0.8693024  0.13069761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.18353799086503]
Predicted rank: [0], ambiguousness: [[0.8912483  0.10875171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.23351955116513]
Predicted rank: [0], ambiguousness: [[0.7109455 0.2890545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.41944185975166]
Predicted rank: [0], ambiguousness: [[0.7340181 0.2659819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 104.9495933827007]
Predicted rank: [0], ambiguousness: [[0.8173057  0.18269433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 103.85205332962722]
Predicted rank: [0], ambiguousness: [[0.7119886  0.28801137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.85082895204164]
Predicted rank: [0], ambiguousness: [[0.86789644 0.13210355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.85177550684355]
Predicted rank: [0], ambiguousness: [[0.78567404 0.21432595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.03810805016366]
Predicted rank: [0], ambiguousness: [[0.81170213 0.18829788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.10937703390253]
Predicted rank: [0], ambiguousness: [[0.8943187  0.10568128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.03022843303009]
Predicted rank: [0], ambiguousness: [[0.71337724 0.2866228 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.90626551592186]
Predicted rank: [0], ambiguousness: [[0.59980476 0.40019524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.31998600918818]
Predicted rank: [0], ambiguousness: [[0.7119736 0.2880264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.4258262670808]
Predicted rank: [0], ambiguousness: [[0.886335   0.11366495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.9384271866667]
Predicted rank: [0], ambiguousness: [[0.8153126  0.18468736]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.10469135389906]
Predicted rank: [0], ambiguousness: [[0.9246307  0.07536928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.21998586385715]
Predicted rank: [0], ambiguousness: [[0.8236383  0.17636171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.20484233126598]
Predicted rank: [0], ambiguousness: [[0.64545    0.35454997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.36573227089868]
Predicted rank: [0], ambiguousness: [[0.881871   0.11812899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.54445904394068]
Predicted rank: [0], ambiguousness: [[0.7659143  0.23408568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.69449042215604]
Predicted rank: [0], ambiguousness: [[0.643983 0.356017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.8280585525458]
Predicted rank: [0], ambiguousness: [[0.75583726 0.24416275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.32904281398979]
Predicted rank: [0], ambiguousness: [[0.818634   0.18136603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.25466305905415]
Predicted rank: [0], ambiguousness: [[0.7093574  0.29064265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.16015987886892]
Predicted rank: [0], ambiguousness: [[0.89302975 0.10697027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.17612608305447]
Predicted rank: [0], ambiguousness: [[0.843622   0.15637796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.35350164189978]
Predicted rank: [0], ambiguousness: [[0.8111637  0.18883626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.42193189581454]
Predicted rank: [0], ambiguousness: [[0.90902996 0.09097005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.63548104061154]
Predicted rank: [0], ambiguousness: [[0.71635467 0.28364533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.4664869769734]
Predicted rank: [0], ambiguousness: [[0.5908793  0.40912065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 103.96440291808509]
Predicted rank: [0], ambiguousness: [[0.7093971  0.29060295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.08229657523397]
Predicted rank: [0], ambiguousness: [[0.8949451  0.10505489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.80146944209767]
Predicted rank: [0], ambiguousness: [[0.7857268 0.2142732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.97671919229282]
Predicted rank: [0], ambiguousness: [[0.9243172  0.07568283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.10227944464094]
Predicted rank: [0], ambiguousness: [[0.8145341  0.18546589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.66408710481855]
Predicted rank: [0], ambiguousness: [[0.5552559  0.44474408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.92697606474158]
Predicted rank: [0], ambiguousness: [[0.8460736  0.15392634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.26921667436372]
Predicted rank: [0], ambiguousness: [[0.77475363 0.22524638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.84069836472997]
Predicted rank: [0], ambiguousness: [[0.7890912 0.2109088]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.99988731505437]
Predicted rank: [0], ambiguousness: [[0.64960897 0.350391  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.20313058160951]
Predicted rank: [0], ambiguousness: [[0.81879336 0.18120663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.15437516708967]
Predicted rank: [0], ambiguousness: [[0.85392284 0.14607717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.37895457762758]
Predicted rank: [0], ambiguousness: [[0.88832384 0.11167616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.43532712923931]
Predicted rank: [0], ambiguousness: [[0.7263495 0.2736505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.66289555407369]
Predicted rank: [0], ambiguousness: [[0.7253628  0.27463722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.17994536386553]
Predicted rank: [0], ambiguousness: [[0.83705026 0.16294973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.09290292819728]
Predicted rank: [0], ambiguousness: [[0.7516631  0.24833693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.04981982195167]
Predicted rank: [0], ambiguousness: [[0.8857741  0.11422593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.05766987262243]
Predicted rank: [0], ambiguousness: [[0.7959516 0.2040484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.2403386547948]
Predicted rank: [0], ambiguousness: [[0.8408208  0.15917924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.31041631949452]
Predicted rank: [0], ambiguousness: [[0.9050313  0.09496868]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.22883447271492]
Predicted rank: [0], ambiguousness: [[0.74079156 0.2592084 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.11323212252583]
Predicted rank: [0], ambiguousness: [[0.6146235 0.3853765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.5192115216598]
Predicted rank: [0], ambiguousness: [[0.7593747  0.24062532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.62340904114157]
Predicted rank: [0], ambiguousness: [[0.901469   0.09853103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.12074418589424]
Predicted rank: [0], ambiguousness: [[0.8527992  0.14720085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.2849209370497]
Predicted rank: [0], ambiguousness: [[0.92597926 0.07402077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.39801415408458]
Predicted rank: [0], ambiguousness: [[0.83154076 0.16845925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.33771718956795]
Predicted rank: [0], ambiguousness: [[0.6991732 0.3008268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.49768577066021]
Predicted rank: [0], ambiguousness: [[0.88388854 0.11611146]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.67489078775702]
Predicted rank: [0], ambiguousness: [[0.78275615 0.21724384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.82324995796688]
Predicted rank: [0], ambiguousness: [[0.6808523 0.3191477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.56814128972691]
Predicted rank: [0], ambiguousness: [[0.72706926 0.2729307 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.10051138883524]
Predicted rank: [0], ambiguousness: [[0.8111465  0.18885353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.00782509530546]
Predicted rank: [0], ambiguousness: [[0.7081414 0.2918586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.01735834431435]
Predicted rank: [0], ambiguousness: [[0.8800216  0.11997842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.02480529231435]
Predicted rank: [0], ambiguousness: [[0.80434453 0.1956555 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.2078339692461]
Predicted rank: [0], ambiguousness: [[0.8036519  0.19634807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.27807596072921]
Predicted rank: [0], ambiguousness: [[0.90068626 0.09931372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.42257889424889]
Predicted rank: [0], ambiguousness: [[0.70534825 0.29465172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.23415734656308]
Predicted rank: [0], ambiguousness: [[0.58945704 0.41054296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 103.7604694905352]
Predicted rank: [0], ambiguousness: [[0.7030904  0.29690954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 103.88309087039957]
Predicted rank: [0], ambiguousness: [[0.8773054 0.1226946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.67198809803004]
Predicted rank: [0], ambiguousness: [[0.79882807 0.20117195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.85160112050993]
Predicted rank: [0], ambiguousness: [[0.9135144  0.08648563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.98190002874355]
Predicted rank: [0], ambiguousness: [[0.80517155 0.19482844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.57426641717463]
Predicted rank: [0], ambiguousness: [[0.54773694 0.45226306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.84162282613025]
Predicted rank: [0], ambiguousness: [[0.8262025 0.1737975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.19210570165285]
Predicted rank: [0], ambiguousness: [[0.75001645 0.24998355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.78595834441029]
Predicted rank: [0], ambiguousness: [[0.7913456 0.2086544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.01661897039267]
Predicted rank: [0], ambiguousness: [[0.6179062  0.38209376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.73677377147746]
Predicted rank: [0], ambiguousness: [[0.6997587 0.3002413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.56958832826714]
Predicted rank: [0], ambiguousness: [[0.6139877 0.3860123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.07198416129731]
Predicted rank: [0], ambiguousness: [[0.7085635 0.2914365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.18988213949304]
Predicted rank: [0], ambiguousness: [[0.88764286 0.11235715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.9276988557773]
Predicted rank: [0], ambiguousness: [[0.8258921  0.17410791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.10163079688084]
Predicted rank: [0], ambiguousness: [[0.9398098  0.06019017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.22568763613762]
Predicted rank: [0], ambiguousness: [[0.8204084 0.1795916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.033929211419]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.3401348169514]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 103.77424266461261]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.59575335243471]
Predicted rank: [0], ambiguousness: [[0.7736531  0.22634692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.36021134747565]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.99108715800006]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.91227839818724]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.00078278220575]
Predicted rank: [0], ambiguousness: [[0.7693191  0.23068087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.68189400197812]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.82968531194842]
Predicted rank: [0], ambiguousness: [[0.73626184 0.2637382 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.92308198779666]
Predicted rank: [0], ambiguousness: [[0.73571265 0.26428735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.34669385467674]
Predicted rank: [0], ambiguousness: [[0.6225307  0.37746933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.87743330602878]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.8679663207428]
Predicted rank: [0], ambiguousness: [[0.7897773  0.21022272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.60399853744664]
Predicted rank: [0], ambiguousness: [[0.7849164  0.21508363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.75262395629204]
Predicted rank: [0], ambiguousness: [[0.74261755 0.25738245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.8463660772675]
Predicted rank: [0], ambiguousness: [[0.7373564 0.2626436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.2692535867259]
Predicted rank: [0], ambiguousness: [[0.63655245 0.36344758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.8025458243284]
Predicted rank: [0], ambiguousness: [[0.77247566 0.22752436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.40307927882827]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.78456730865175]
Predicted rank: [0], ambiguousness: [[0.8500265  0.14997351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.91943943876284]
Predicted rank: [0], ambiguousness: [[0.8609567  0.13904329]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.27197097056049]
Predicted rank: [0], ambiguousness: [[0.7630183 0.2369817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.44050765844551]
Predicted rank: [0], ambiguousness: [[0.76683307 0.23316695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.60455028391524]
Predicted rank: [0], ambiguousness: [[0.8030724  0.19692762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.99275205917435]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.73549888346608]
Predicted rank: [0], ambiguousness: [[0.7349758  0.26502416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.13441819969603]
Predicted rank: [0], ambiguousness: [[0.7052765  0.29472348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.19776625590202]
Predicted rank: [0], ambiguousness: [[0.7002782  0.29972178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.22555717015828]
Predicted rank: [0], ambiguousness: [[0.86257386 0.13742614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.83728003601254]
Predicted rank: [0], ambiguousness: [[0.79031444 0.20968555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.57608453108146]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.72470947473715]
Predicted rank: [0], ambiguousness: [[0.74270093 0.25729907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.81845138888198]
Predicted rank: [0], ambiguousness: [[0.7454585  0.25454152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.2413393215003]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.62095252079915]
Predicted rank: [0], ambiguousness: [[0.7849885  0.21501149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.252970976133]
Predicted rank: [0], ambiguousness: [[0.7833831  0.21661691]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.65373660997616]
Predicted rank: [0], ambiguousness: [[0.8583634  0.14163661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.79137366695852]
Predicted rank: [0], ambiguousness: [[0.8745207 0.1254793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.13919082955731]
Predicted rank: [0], ambiguousness: [[0.79236376 0.20763627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.36733923925131]
Predicted rank: [0], ambiguousness: [[0.7710844  0.22891554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.53217012736462]
Predicted rank: [0], ambiguousness: [[0.80297935 0.19702066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.9195007581323]
Predicted rank: [0], ambiguousness: [[0.7848198  0.21518023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.66390827133267]
Predicted rank: [0], ambiguousness: [[0.7414685 0.2585315]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.06204079038835]
Predicted rank: [0], ambiguousness: [[0.7218307 0.2781693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.12572340544872]
Predicted rank: [0], ambiguousness: [[0.711999 0.288001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.15362666443173]
Predicted rank: [0], ambiguousness: [[0.8572155  0.14278445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.78196084911202]
Predicted rank: [0], ambiguousness: [[0.7991565  0.20084351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.06744789169421]
Predicted rank: [0], ambiguousness: [[0.7856127  0.21438733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.57961202035075]
Predicted rank: [0], ambiguousness: [[0.84838897 0.15161102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.72376792744247]
Predicted rank: [0], ambiguousness: [[0.86269855 0.13730142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.06428206387245]
Predicted rank: [0], ambiguousness: [[0.76801795 0.23198204]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.04014936370373]
Predicted rank: [0], ambiguousness: [[0.6970009  0.30299908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.30497137659066]
Predicted rank: [0], ambiguousness: [[0.7867774  0.21322261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.58874497731514]
Predicted rank: [0], ambiguousness: [[0.77731514 0.22268483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.66811727794503]
Predicted rank: [0], ambiguousness: [[0.8539812  0.14601879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.9896334847934]
Predicted rank: [0], ambiguousness: [[0.8392799 0.1607201]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.09417542217386]
Predicted rank: [0], ambiguousness: [[0.84815806 0.15184195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.13583675760283]
Predicted rank: [0], ambiguousness: [[0.9229057  0.07709432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.32622350598353]
Predicted rank: [0], ambiguousness: [[0.73808575 0.26191428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.67696665597406]
Predicted rank: [0], ambiguousness: [[0.75032675 0.24967326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.82342136588943]
Predicted rank: [0], ambiguousness: [[0.7944194  0.20558056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.86440822725474]
Predicted rank: [0], ambiguousness: [[0.9237495  0.07625052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.92867714284077]
Predicted rank: [0], ambiguousness: [[0.7053944  0.29460558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.00154725296116]
Predicted rank: [0], ambiguousness: [[0.9051176  0.09488241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.0355803758163]
Predicted rank: [0], ambiguousness: [[0.7240014  0.27599856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.60772914755552]
Predicted rank: [0], ambiguousness: [[0.7865868  0.21341318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.24702779222531]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.64801338867426]
Predicted rank: [0], ambiguousness: [[0.8595139  0.14048614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.7856438389228]
Predicted rank: [0], ambiguousness: [[0.880045   0.11995502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.13348949697205]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.3618694422556]
Predicted rank: [0], ambiguousness: [[0.7727562  0.22724378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.52666156332339]
Predicted rank: [0], ambiguousness: [[0.81097245 0.18902753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.91403734016393]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.65835908268346]
Predicted rank: [0], ambiguousness: [[0.7637799  0.23622009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.05653245748474]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.12019860642607]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14809626588269]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.59782205938043]
Predicted rank: [0], ambiguousness: [[0.78134835 0.21865162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.84554358196988]
Predicted rank: [0], ambiguousness: [[0.7746863  0.22531371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.41163363415556]
Predicted rank: [0], ambiguousness: [[0.8439932  0.15600678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.56068350526827]
Predicted rank: [0], ambiguousness: [[0.86476374 0.13523626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.89381847781024]
Predicted rank: [0], ambiguousness: [[0.78011847 0.21988155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.89928597851144]
Predicted rank: [0], ambiguousness: [[0.68982065 0.31017935]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.17193805708374]
Predicted rank: [0], ambiguousness: [[0.7768346  0.22316542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.44868496845952]
Predicted rank: [0], ambiguousness: [[0.7761642  0.22383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.55359979261274]
Predicted rank: [0], ambiguousness: [[0.8650787  0.13492133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.8701895603578]
Predicted rank: [0], ambiguousness: [[0.847665   0.15233499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.97737842706117]
Predicted rank: [0], ambiguousness: [[0.86236495 0.13763507]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.019899120188]
Predicted rank: [0], ambiguousness: [[0.92388713 0.07611284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.26837043451229]
Predicted rank: [0], ambiguousness: [[0.7266612  0.27333882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.61816875380202]
Predicted rank: [0], ambiguousness: [[0.7546665  0.24533351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.76545562178954]
Predicted rank: [0], ambiguousness: [[0.7942207  0.20577934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.80660584784812]
Predicted rank: [0], ambiguousness: [[0.9162328  0.08376717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.87145095402364]
Predicted rank: [0], ambiguousness: [[0.71219933 0.28780067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.94457609319781]
Predicted rank: [0], ambiguousness: [[0.8987287  0.10127125]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.97888384875526]
Predicted rank: [0], ambiguousness: [[0.71108973 0.2889103 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.04109933288879]
Predicted rank: [0], ambiguousness: [[0.7823213  0.21767871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.57203077381817]
Predicted rank: [0], ambiguousness: [[0.893947   0.10605299]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.7164669026516]
Predicted rank: [0], ambiguousness: [[0.87090594 0.12909408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.05665894648766]
Predicted rank: [0], ambiguousness: [[0.79118955 0.20881046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.65890219651638]
Predicted rank: [0], ambiguousness: [[0.69408965 0.30591038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.97469806386006]
Predicted rank: [0], ambiguousness: [[0.784462   0.21553804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.23048821435452]
Predicted rank: [0], ambiguousness: [[0.77492636 0.22507364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.47074808210593]
Predicted rank: [0], ambiguousness: [[0.84936845 0.15063153]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.77914485409443]
Predicted rank: [0], ambiguousness: [[0.8342929  0.16570711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.89329652296149]
Predicted rank: [0], ambiguousness: [[0.8469822  0.15301783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.9378958791408]
Predicted rank: [0], ambiguousness: [[0.92319864 0.07680137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.88931232659908]
Predicted rank: [0], ambiguousness: [[0.6587341  0.34126592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.11775796281393]
Predicted rank: [0], ambiguousness: [[0.6730408 0.3269592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.37416467941547]
Predicted rank: [0], ambiguousness: [[0.77396667 0.22603332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.4411859755671]
Predicted rank: [0], ambiguousness: [[0.92277545 0.07722455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.73557762729348]
Predicted rank: [0], ambiguousness: [[0.8403072  0.15969281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.8431668884724]
Predicted rank: [0], ambiguousness: [[0.9487683  0.05123169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.91313558217462]
Predicted rank: [0], ambiguousness: [[0.85978293 0.14021705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.42695834338818]
Predicted rank: [0], ambiguousness: [[0.7160509  0.28394908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.53516578952394]
Predicted rank: [0], ambiguousness: [[0.92145646 0.07854352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.65099909720757]
Predicted rank: [0], ambiguousness: [[0.8283161  0.17168394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.74340162185786]
Predicted rank: [0], ambiguousness: [[0.720484 0.279516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.68770106025747]
Predicted rank: [0], ambiguousness: [[0.77621067 0.2237893 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.95126530911708]
Predicted rank: [0], ambiguousness: [[0.7910692  0.20893079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.50323973800636]
Predicted rank: [0], ambiguousness: [[0.8381274  0.16187261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.65060662316981]
Predicted rank: [0], ambiguousness: [[0.8757354 0.1242646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.98660670381743]
Predicted rank: [0], ambiguousness: [[0.8065537  0.19344631]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.9906632286736]
Predicted rank: [0], ambiguousness: [[0.6803534 0.3196466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.26007645559233]
Predicted rank: [0], ambiguousness: [[0.7998821  0.20011787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.5400636911273]
Predicted rank: [0], ambiguousness: [[0.8093653  0.19063476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.63467046272868]
Predicted rank: [0], ambiguousness: [[0.88328636 0.11671364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.95370180607189]
Predicted rank: [0], ambiguousness: [[0.8555166  0.14448339]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.05970941256442]
Predicted rank: [0], ambiguousness: [[0.8847613 0.1152387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.10183738750919]
Predicted rank: [0], ambiguousness: [[0.93183094 0.06816906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.32884714500773]
Predicted rank: [0], ambiguousness: [[0.75324446 0.24675553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.67968494566355]
Predicted rank: [0], ambiguousness: [[0.7659881 0.2340119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.8262136672913]
Predicted rank: [0], ambiguousness: [[0.8312936  0.16870645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.86720294950561]
Predicted rank: [0], ambiguousness: [[0.92771065 0.07228934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.93141076789057]
Predicted rank: [0], ambiguousness: [[0.77187604 0.22812396]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.00429273179847]
Predicted rank: [0], ambiguousness: [[0.9004908  0.09950917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.03835073018848]
Predicted rank: [0], ambiguousness: [[0.73048806 0.2695119 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.90427497774104]
Predicted rank: [0], ambiguousness: [[0.77374893 0.22625108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.48221614619501]
Predicted rank: [0], ambiguousness: [[0.8601094  0.13989061]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.62981581951536]
Predicted rank: [0], ambiguousness: [[0.86019707 0.13980296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.96556449464973]
Predicted rank: [0], ambiguousness: [[0.7830956  0.21690442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.53309677708361]
Predicted rank: [0], ambiguousness: [[0.67097497 0.32902503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.862675702238]
Predicted rank: [0], ambiguousness: [[0.76144737 0.23855263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.10978003347515]
Predicted rank: [0], ambiguousness: [[0.7686174  0.23138261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.39511326287133]
Predicted rank: [0], ambiguousness: [[0.84663576 0.15336424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.69891971206593]
Predicted rank: [0], ambiguousness: [[0.83347833 0.16652167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.81610278625351]
Predicted rank: [0], ambiguousness: [[0.85277915 0.14722082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.86166383960693]
Predicted rank: [0], ambiguousness: [[0.91585684 0.08414315]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.83553519955575]
Predicted rank: [0], ambiguousness: [[0.62864965 0.37135035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.05951654299214]
Predicted rank: [0], ambiguousness: [[0.6717454  0.32825455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.32092934617148]
Predicted rank: [0], ambiguousness: [[0.7686044  0.23139563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.38895298145877]
Predicted rank: [0], ambiguousness: [[0.9093353  0.09066466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.6947942795604]
Predicted rank: [0], ambiguousness: [[0.85574204 0.14425795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.80354029988683]
Predicted rank: [0], ambiguousness: [[0.9434194  0.05658059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.87478222365681]
Predicted rank: [0], ambiguousness: [[0.8572825  0.14271745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.42571859137809]
Predicted rank: [0], ambiguousness: [[0.7098297  0.29017028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.53397281062256]
Predicted rank: [0], ambiguousness: [[0.910285   0.08971502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.64991007061315]
Predicted rank: [0], ambiguousness: [[0.8080035 0.1919965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.74226896281404]
Predicted rank: [0], ambiguousness: [[0.6993911  0.30060884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.6974252267658]
Predicted rank: [0], ambiguousness: [[0.70517427 0.29482573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.01593724623207]
Predicted rank: [0], ambiguousness: [[0.77627134 0.22372864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.27225196146415]
Predicted rank: [0], ambiguousness: [[0.77422094 0.22577904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.52262830493467]
Predicted rank: [0], ambiguousness: [[0.8747182 0.1252818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.83269110905802]
Predicted rank: [0], ambiguousness: [[0.88473636 0.11526365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.94609809649567]
Predicted rank: [0], ambiguousness: [[0.85744745 0.14255257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.99046557219182]
Predicted rank: [0], ambiguousness: [[0.9305232  0.06947678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.55964271428466]
Predicted rank: [0], ambiguousness: [[0.643371   0.35662898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.75590566170159]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.06833559668536]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.14380877039157]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.57437254736021]
Predicted rank: [0], ambiguousness: [[0.83394754 0.16605248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.68887499292912]
Predicted rank: [0], ambiguousness: [[0.94419163 0.05580839]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.76670531615451]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.8218475370837]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.99303814981789]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.20958390409757]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.55974637133426]
Predicted rank: [0], ambiguousness: [[0.83064604 0.16935393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.2439010489219]
Predicted rank: [0], ambiguousness: [[0.70849335 0.29150665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.99083426502165]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.91127531579667]
Predicted rank: [0], ambiguousness: [[0.61755013 0.38244987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.99977969981518]
Predicted rank: [0], ambiguousness: [[0.71778893 0.2822111 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.68089091958754]
Predicted rank: [0], ambiguousness: [[0.7631398  0.23686022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.82868222955786]
Predicted rank: [0], ambiguousness: [[0.7087085  0.29129145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.9220789054061]
Predicted rank: [0], ambiguousness: [[0.7114165  0.28858352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.34569077228616]
Predicted rank: [0], ambiguousness: [[0.5935775  0.40642253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.87414589506616]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.86472991096954]
Predicted rank: [0], ambiguousness: [[0.75223035 0.24776964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.60076212767339]
Predicted rank: [0], ambiguousness: [[0.7601211  0.23987886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.74938754651879]
Predicted rank: [0], ambiguousness: [[0.71471834 0.28528163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.84312966749422]
Predicted rank: [0], ambiguousness: [[0.70911026 0.29088974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.26601717695263]
Predicted rank: [0], ambiguousness: [[0.60329777 0.39670223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.79930941455515]
Predicted rank: [0], ambiguousness: [[0.7350499 0.2649501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.399842869055]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.78133089887848]
Predicted rank: [0], ambiguousness: [[0.8261241 0.1738759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.91620302898957]
Predicted rank: [0], ambiguousness: [[0.834976   0.16502397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.26873456078724]
Predicted rank: [0], ambiguousness: [[0.72237206 0.27762792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.43727124867223]
Predicted rank: [0], ambiguousness: [[0.74064195 0.25935805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.601313874142]
Predicted rank: [0], ambiguousness: [[0.77978295 0.22021705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.98951564940108]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.73226247369283]
Predicted rank: [0], ambiguousness: [[0.70657563 0.2934244 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.13118178992275]
Predicted rank: [0], ambiguousness: [[0.67510056 0.32489944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.19452984612876]
Predicted rank: [0], ambiguousness: [[0.6698301  0.33016995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.22232076038503]
Predicted rank: [0], ambiguousness: [[0.8449628  0.15503724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.82699616672713]
Predicted rank: [0], ambiguousness: [[0.7528335  0.24716654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.56591703551493]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.71454245436033]
Predicted rank: [0], ambiguousness: [[0.7148074  0.28519264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.80828457533576]
Predicted rank: [0], ambiguousness: [[0.7177502 0.2822498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.23117208479418]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6118614575367]
Predicted rank: [0], ambiguousness: [[0.75012666 0.24987334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.24393707956156]
Predicted rank: [0], ambiguousness: [[0.7601211  0.23987886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.64472648981118]
Predicted rank: [0], ambiguousness: [[0.8363906  0.16360936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.78236655117149]
Predicted rank: [0], ambiguousness: [[0.85142803 0.14857198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.13017876419849]
Predicted rank: [0], ambiguousness: [[0.7562906 0.2437094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.3583957571105]
Predicted rank: [0], ambiguousness: [[0.74692845 0.25307155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.52322711882066]
Predicted rank: [0], ambiguousness: [[0.781234   0.21876594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.91055724115887]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.65496570976154]
Predicted rank: [0], ambiguousness: [[0.71534103 0.28465897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.05309776922059]
Predicted rank: [0], ambiguousness: [[0.6945362  0.30546382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.11678058501882]
Predicted rank: [0], ambiguousness: [[0.6841619  0.31583807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14468391235039]
Predicted rank: [0], ambiguousness: [[0.8402655  0.15973446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.7731591895035]
Predicted rank: [0], ambiguousness: [[0.7629827  0.23701726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.05864623208569]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.57081036074223]
Predicted rank: [0], ambiguousness: [[0.819075   0.18092501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.71496626783394]
Predicted rank: [0], ambiguousness: [[0.8356153  0.16438475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.05548040426393]
Predicted rank: [0], ambiguousness: [[0.7281437  0.27185628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.03134770409521]
Predicted rank: [0], ambiguousness: [[0.66478044 0.33521956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.29616971698215]
Predicted rank: [0], ambiguousness: [[0.7608277  0.23917228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.57994331770661]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.6593156183365]
Predicted rank: [0], ambiguousness: [[0.8291743 0.1708257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.98083182518488]
Predicted rank: [0], ambiguousness: [[0.8125237  0.18747625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.08537376256535]
Predicted rank: [0], ambiguousness: [[0.8188089  0.18119109]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.12703509799431]
Predicted rank: [0], ambiguousness: [[0.90546477 0.09453525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.31742184637501]
Predicted rank: [0], ambiguousness: [[0.7084064 0.2915936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.66816499636553]
Predicted rank: [0], ambiguousness: [[0.7215111 0.2784889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.81461970628092]
Predicted rank: [0], ambiguousness: [[0.7691269  0.23087311]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.85560656764622]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.91987548323223]
Predicted rank: [0], ambiguousness: [[0.6736486  0.32635143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.99274559335264]
Predicted rank: [0], ambiguousness: [[0.8915856 0.1084144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.02677871620776]
Predicted rank: [0], ambiguousness: [[0.69338906 0.3066109 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.5696670496852]
Predicted rank: [0], ambiguousness: [[0.7507332  0.24926682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.21191531488026]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.61387258022573]
Predicted rank: [0], ambiguousness: [[0.8368333  0.16316669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.75163678631114]
Predicted rank: [0], ambiguousness: [[0.85703874 0.14296126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.09925429320654]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.33048233778015]
Predicted rank: [0], ambiguousness: [[0.74701095 0.25298905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.49531322589347]
Predicted rank: [0], ambiguousness: [[0.78837115 0.21162887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.88264385666113]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.6270513698615]
Predicted rank: [0], ambiguousness: [[0.73736334 0.26263663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.0251838889172]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.08886650397758]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.11676976296057]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.56755968905696]
Predicted rank: [0], ambiguousness: [[0.7461138  0.25388625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.81384257674588]
Predicted rank: [0], ambiguousness: [[0.75846547 0.24153452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.38231867650131]
Predicted rank: [0], ambiguousness: [[0.82300276 0.17699726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.53158753612536]
Predicted rank: [0], ambiguousness: [[0.84605813 0.15394184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.86439019150461]
Predicted rank: [0], ambiguousness: [[0.7530484 0.2469516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.87118392491703]
Predicted rank: [0], ambiguousness: [[0.67009205 0.32990795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.14418527831204]
Predicted rank: [0], ambiguousness: [[0.7607207  0.23927933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.42061779859372]
Predicted rank: [0], ambiguousness: [[0.7600168  0.23998323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.52666825046113]
Predicted rank: [0], ambiguousness: [[0.8497 0.1503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.8430366013105]
Predicted rank: [0], ambiguousness: [[0.83068997 0.16931003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.95034285511073]
Predicted rank: [0], ambiguousness: [[0.84338766 0.15661235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.99290168708833]
Predicted rank: [0], ambiguousness: [[0.9116427  0.08835731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.24386928350786]
Predicted rank: [0], ambiguousness: [[0.70828485 0.29171515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.59361611012271]
Predicted rank: [0], ambiguousness: [[0.7374928 0.2625072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.74094572652622]
Predicted rank: [0], ambiguousness: [[0.779005   0.22099501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.78210455847278]
Predicted rank: [0], ambiguousness: [[0.9090053  0.09099472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.84698148934544]
Predicted rank: [0], ambiguousness: [[0.69326115 0.30673882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.92011988375481]
Predicted rank: [0], ambiguousness: [[0.890172   0.10982802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.95444174003916]
Predicted rank: [0], ambiguousness: [[0.69211006 0.3078899 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.01842846903872]
Predicted rank: [0], ambiguousness: [[0.75983715 0.24016285]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.54978558138244]
Predicted rank: [0], ambiguousness: [[0.87473714 0.12526287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.69426709237098]
Predicted rank: [0], ambiguousness: [[0.848231   0.15176897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.03438357075078]
Predicted rank: [0], ambiguousness: [[0.7583972  0.24160281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.63616124309576]
Predicted rank: [0], ambiguousness: [[0.6663785  0.33362153]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.952119032823]
Predicted rank: [0], ambiguousness: [[0.7621317 0.2378683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.20778373216092]
Predicted rank: [0], ambiguousness: [[0.7519206  0.24807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.44855722219697]
Predicted rank: [0], ambiguousness: [[0.8236765  0.17632346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.75687225957853]
Predicted rank: [0], ambiguousness: [[0.8066151  0.19338489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.87106893281997]
Predicted rank: [0], ambiguousness: [[0.820969   0.17903098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.91568293051404]
Predicted rank: [0], ambiguousness: [[0.90874636 0.09125365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.86718168221526]
Predicted rank: [0], ambiguousness: [[0.6295296 0.3704704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.09553248080493]
Predicted rank: [0], ambiguousness: [[0.64439976 0.35560024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.35202824033274]
Predicted rank: [0], ambiguousness: [[0.75089437 0.24910562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.41906858979499]
Predicted rank: [0], ambiguousness: [[0.913189 0.086811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.71363087920047]
Predicted rank: [0], ambiguousness: [[0.8172548  0.18274522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.82124466117187]
Predicted rank: [0], ambiguousness: [[0.9402597  0.05974031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.89123940779584]
Predicted rank: [0], ambiguousness: [[0.83552337 0.16447665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.40557169859365]
Predicted rank: [0], ambiguousness: [[0.68943906 0.31056097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.51379108355941]
Predicted rank: [0], ambiguousness: [[0.91172194 0.08827803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.62964453940977]
Predicted rank: [0], ambiguousness: [[0.80942535 0.19057462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.7220685912205]
Predicted rank: [0], ambiguousness: [[0.69411004 0.30588996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.54433146911353]
Predicted rank: [0], ambiguousness: [[0.73357743 0.26642257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.79481525045821]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.3686897405115]
Predicted rank: [0], ambiguousness: [[0.8243817  0.17561832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.51826569792235]
Predicted rank: [0], ambiguousness: [[0.85262436 0.14737566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.8507002439877]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.86517416896086]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.13823874004095]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.41467643175685]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.52095148903595]
Predicted rank: [0], ambiguousness: [[0.8643794 0.1356206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.83735017878752]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.94465167198163]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.98720759948338]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.23841859304876]
Predicted rank: [0], ambiguousness: [[0.71877426 0.28122574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.58821691233851]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.73550378032604]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.7766540063846]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.84149911256014]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.9146242517343]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.94893200729177]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75764968864382]
Predicted rank: [0], ambiguousness: [[0.7567306  0.24326937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.35866939746842]
Predicted rank: [0], ambiguousness: [[0.8337687  0.16623127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.5083222959029]
Predicted rank: [0], ambiguousness: [[0.8338697 0.1661303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.84072109449039]
Predicted rank: [0], ambiguousness: [[0.7381593  0.26184073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.38903461980692]
Predicted rank: [0], ambiguousness: [[0.65882766 0.3411723 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.72623022081765]
Predicted rank: [0], ambiguousness: [[0.75140274 0.24859725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.96767145881984]
Predicted rank: [0], ambiguousness: [[0.75068045 0.24931957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.27740953686481]
Predicted rank: [0], ambiguousness: [[0.8310646 0.1689354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.57765982322518]
Predicted rank: [0], ambiguousness: [[0.81022394 0.18977606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.69683307874695]
Predicted rank: [0], ambiguousness: [[0.83167577 0.16832423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.74303910816481]
Predicted rank: [0], ambiguousness: [[0.9065379 0.0934621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.72275043253076]
Predicted rank: [0], ambiguousness: [[0.6158345 0.3841655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.94270745433684]
Predicted rank: [0], ambiguousness: [[0.6497212 0.3502788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.20797269935548]
Predicted rank: [0], ambiguousness: [[0.75066674 0.24933326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.27680828460291]
Predicted rank: [0], ambiguousness: [[0.90473866 0.09526132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.59035083244973]
Predicted rank: [0], ambiguousness: [[0.8384704  0.16152962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.70011579756584]
Predicted rank: [0], ambiguousness: [[0.93843514 0.06156487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.772441173022]
Predicted rank: [0], ambiguousness: [[0.8425914  0.15740862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.34597078389831]
Predicted rank: [0], ambiguousness: [[0.68917847 0.31082156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.45465593427343]
Predicted rank: [0], ambiguousness: [[0.9057315  0.09426852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.57130672443293]
Predicted rank: [0], ambiguousness: [[0.7994027  0.20059729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.66445430745853]
Predicted rank: [0], ambiguousness: [[0.6878048  0.31219518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.60256041683527]
Predicted rank: [0], ambiguousness: [[0.6841609 0.3158391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.92494348109365]
Predicted rank: [0], ambiguousness: [[0.7585906  0.24140944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.17814393346436]
Predicted rank: [0], ambiguousness: [[0.74827766 0.25172234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.44077560096423]
Predicted rank: [0], ambiguousness: [[0.85654336 0.14345665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.74874830499203]
Predicted rank: [0], ambiguousness: [[0.8626943  0.13730569]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.86322937620028]
Predicted rank: [0], ambiguousness: [[0.83118266 0.16881733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.90795056808386]
Predicted rank: [0], ambiguousness: [[0.9197009 0.0802991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.465944472486]
Predicted rank: [0], ambiguousness: [[0.6263176 0.3736824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.65861438016685]
Predicted rank: [0], ambiguousness: [[0.6412432 0.3587568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.97508452826524]
Predicted rank: [0], ambiguousness: [[0.7483139 0.2516861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.05132286706257]
Predicted rank: [0], ambiguousness: [[0.9120929  0.08790708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.49041901562038]
Predicted rank: [0], ambiguousness: [[0.80780333 0.19219667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.60579342599291]
Predicted rank: [0], ambiguousness: [[0.93667704 0.06332298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.68455465731574]
Predicted rank: [0], ambiguousness: [[0.8342687  0.16573128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.73606434659735]
Predicted rank: [0], ambiguousness: [[0.603271   0.39672902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.90850979069893]
Predicted rank: [0], ambiguousness: [[0.8761492  0.12385081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.12718995070375]
Predicted rank: [0], ambiguousness: [[0.8072956  0.19270436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.48216193283892]
Predicted rank: [0], ambiguousness: [[0.81478995 0.18521003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.17997473546046]
Predicted rank: [0], ambiguousness: [[0.6930684  0.30693164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.86490599030282]
Predicted rank: [0], ambiguousness: [[0.75878716 0.24121287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.45088160669428]
Predicted rank: [0], ambiguousness: [[0.8150972 0.1849028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.59882866232876]
Predicted rank: [0], ambiguousness: [[0.82969713 0.17030287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.93412031516732]
Predicted rank: [0], ambiguousness: [[0.75261766 0.24738233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.50194849885901]
Predicted rank: [0], ambiguousness: [[0.648896   0.35110405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.83318725293769]
Predicted rank: [0], ambiguousness: [[0.77632046 0.22367951]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.07935408665168]
Predicted rank: [0], ambiguousness: [[0.7866223 0.2133777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.37012521474331]
Predicted rank: [0], ambiguousness: [[0.8530829 0.1469171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.67349930961653]
Predicted rank: [0], ambiguousness: [[0.8195946 0.1804054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.79098884696074]
Predicted rank: [0], ambiguousness: [[0.8582451  0.14175491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.83664724826431]
Predicted rank: [0], ambiguousness: [[0.91612804 0.08387195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.81565730449904]
Predicted rank: [0], ambiguousness: [[0.6479746  0.35202536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.0394264084601]
Predicted rank: [0], ambiguousness: [[0.6637279  0.33627215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.30110356308897]
Predicted rank: [0], ambiguousness: [[0.7935465  0.20645352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.36917548142773]
Predicted rank: [0], ambiguousness: [[0.91764987 0.08235011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.67564001322688]
Predicted rank: [0], ambiguousness: [[0.8719945 0.1280055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.7844361856163]
Predicted rank: [0], ambiguousness: [[0.9395528 0.0604472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.85573440255216]
Predicted rank: [0], ambiguousness: [[0.84979945 0.15020055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.40826862980924]
Predicted rank: [0], ambiguousness: [[0.7389555  0.26104453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.51652284905371]
Predicted rank: [0], ambiguousness: [[0.9073843  0.09261572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.6324601090443]
Predicted rank: [0], ambiguousness: [[0.81441903 0.185581  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.72481900124521]
Predicted rank: [0], ambiguousness: [[0.7220944 0.2779056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.4451194074727]
Predicted rank: [0], ambiguousness: [[0.650849   0.34915105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.78510820013736]
Predicted rank: [0], ambiguousness: [[0.74938303 0.25061697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.0280844156635]
Predicted rank: [0], ambiguousness: [[0.7471665  0.25283352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.34891784065923]
Predicted rank: [0], ambiguousness: [[0.8398937  0.16010629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.65203320731015]
Predicted rank: [0], ambiguousness: [[0.82722616 0.17277387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.76975346945375]
Predicted rank: [0], ambiguousness: [[0.8242947  0.17570533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.81551289754397]
Predicted rank: [0], ambiguousness: [[0.91224146 0.08775854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.33452608154238]
Predicted rank: [0], ambiguousness: [[0.5951319 0.4048681]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.5163203134878]
Predicted rank: [0], ambiguousness: [[0.63988924 0.36011073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.84880244428876]
Predicted rank: [0], ambiguousness: [[0.7425454  0.25745457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.92772463510792]
Predicted rank: [0], ambiguousness: [[0.89700115 0.10299885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.40600701075174]
Predicted rank: [0], ambiguousness: [[0.8198643 0.1801357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.52387869270665]
Predicted rank: [0], ambiguousness: [[0.92750007 0.07249993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.60536488380453]
Predicted rank: [0], ambiguousness: [[0.82568926 0.17431076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.67344933158701]
Predicted rank: [0], ambiguousness: [[0.595973   0.40402696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.84851015107489]
Predicted rank: [0], ambiguousness: [[0.85951596 0.14048402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.0719960070621]
Predicted rank: [0], ambiguousness: [[0.7851412  0.21485879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.43986187551272]
Predicted rank: [0], ambiguousness: [[0.81683344 0.18316658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.17872320189785]
Predicted rank: [0], ambiguousness: [[0.6632594  0.33674058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.50384856012975]
Predicted rank: [0], ambiguousness: [[0.6073412 0.3926588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.69670873055759]
Predicted rank: [0], ambiguousness: [[0.66312873 0.33687127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.01671104965737]
Predicted rank: [0], ambiguousness: [[0.7475523 0.2524477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.09313175492697]
Predicted rank: [0], ambiguousness: [[0.90585726 0.09414276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.54504436305984]
Predicted rank: [0], ambiguousness: [[0.8446487  0.15535128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.65986456470766]
Predicted rank: [0], ambiguousness: [[0.94977707 0.05022294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.73797386997018]
Predicted rank: [0], ambiguousness: [[0.839641   0.16035903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.33348745336863]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.53219373372927]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.8065582442376]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.31298297786549]
Predicted rank: [0], ambiguousness: [[0.7966517  0.20334828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.49406857885884]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.99084054359518]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.91106809908403]
Predicted rank: [0], ambiguousness: [[0.57059634 0.42940363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.99957248310255]
Predicted rank: [0], ambiguousness: [[0.6995399  0.30046013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.68068370287492]
Predicted rank: [0], ambiguousness: [[0.71750873 0.28249127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.82847501284522]
Predicted rank: [0], ambiguousness: [[0.65730023 0.34269974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.92187168869346]
Predicted rank: [0], ambiguousness: [[0.66025704 0.33974296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.34548355557351]
Predicted rank: [0], ambiguousness: [[0.53517693 0.46482307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.87317707860853]
Predicted rank: [0], ambiguousness: [[0.5648511 0.4351489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.86376109196402]
Predicted rank: [0], ambiguousness: [[0.7121279  0.28787208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.59979330866787]
Predicted rank: [0], ambiguousness: [[0.7219783  0.27802172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.74841872751327]
Predicted rank: [0], ambiguousness: [[0.6689376  0.33106238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.84216084848872]
Predicted rank: [0], ambiguousness: [[0.66641587 0.33358413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.26504835794712]
Predicted rank: [0], ambiguousness: [[0.5543332  0.44566676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.79834059554963]
Predicted rank: [0], ambiguousness: [[0.6882597  0.31174025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.3988740500495]
Predicted rank: [0], ambiguousness: [[0.7188452 0.2811548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.78036207987297]
Predicted rank: [0], ambiguousness: [[0.78389007 0.21610993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.91523420998406]
Predicted rank: [0], ambiguousness: [[0.8010566 0.1989434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.26776574178172]
Predicted rank: [0], ambiguousness: [[0.67633265 0.32366735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.43630242966672]
Predicted rank: [0], ambiguousness: [[0.694613 0.305387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.60034505513647]
Predicted rank: [0], ambiguousness: [[0.74132156 0.2586784 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.98854683039558]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.7312936546873]
Predicted rank: [0], ambiguousness: [[0.6608887  0.33911133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.13021297091724]
Predicted rank: [0], ambiguousness: [[0.6228894 0.3771106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.19356102712325]
Predicted rank: [0], ambiguousness: [[0.6210202  0.37897983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.22135194137951]
Predicted rank: [0], ambiguousness: [[0.8203239  0.17967613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.8237370452851]
Predicted rank: [0], ambiguousness: [[0.72877824 0.2712218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.56265900826611]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.7112844271115]
Predicted rank: [0], ambiguousness: [[0.6694471  0.33055288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.80502654808694]
Predicted rank: [0], ambiguousness: [[0.6761526  0.32384744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.22791405754535]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.60865442892936]
Predicted rank: [0], ambiguousness: [[0.7236911 0.2763089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.24073005095421]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.64151946120381]
Predicted rank: [0], ambiguousness: [[0.8105597  0.18944032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.77915952256414]
Predicted rank: [0], ambiguousness: [[0.8333284  0.16667157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.12697173559114]
Predicted rank: [0], ambiguousness: [[0.7324523  0.26754776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.35518872850315]
Predicted rank: [0], ambiguousness: [[0.70456564 0.29543436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.52002009021331]
Predicted rank: [0], ambiguousness: [[0.7456775 0.2543225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.9073502125515]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.65175868115419]
Predicted rank: [0], ambiguousness: [[0.6735499  0.32645014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.04989074061322]
Predicted rank: [0], ambiguousness: [[0.64754164 0.3524584 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.11357355641145]
Predicted rank: [0], ambiguousness: [[0.6400963 0.3599037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14147688374302]
Predicted rank: [0], ambiguousness: [[0.81199455 0.18800545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.76995216089614]
Predicted rank: [0], ambiguousness: [[0.73743117 0.2625688 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.05543920347834]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.56760333213487]
Predicted rank: [0], ambiguousness: [[0.79538083 0.20461914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.71175923922658]
Predicted rank: [0], ambiguousness: [[0.8160056  0.18399441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.0522733756566]
Predicted rank: [0], ambiguousness: [[0.70031166 0.29968837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.02814067548786]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.29296268837479]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.57673628909926]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.65610858972914]
Predicted rank: [0], ambiguousness: [[0.80499375 0.19500627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.97762479657753]
Predicted rank: [0], ambiguousness: [[0.78389823 0.21610178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.08216673395802]
Predicted rank: [0], ambiguousness: [[0.79767984 0.20232016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.12382806938696]
Predicted rank: [0], ambiguousness: [[0.8941761  0.10582384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.31421481776766]
Predicted rank: [0], ambiguousness: [[0.66607237 0.3339276 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.66495796775818]
Predicted rank: [0], ambiguousness: [[0.6767349  0.32326505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.81141267767356]
Predicted rank: [0], ambiguousness: [[0.73227686 0.26772314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.85239953903888]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.9166684546249]
Predicted rank: [0], ambiguousness: [[0.62891173 0.3710883 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.98953856474529]
Predicted rank: [0], ambiguousness: [[0.8646796  0.13532041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.02357168760042]
Predicted rank: [0], ambiguousness: [[0.6499522  0.35004786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.55903039037453]
Predicted rank: [0], ambiguousness: [[0.7243382 0.2756618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.20160626562257]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.60361017449759]
Predicted rank: [0], ambiguousness: [[0.81105644 0.18894356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.74137978295742]
Predicted rank: [0], ambiguousness: [[0.8394939  0.16050614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.08898859351063]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.32034304183458]
Predicted rank: [0], ambiguousness: [[0.7046565 0.2953435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.48517440354473]
Predicted rank: [0], ambiguousness: [[0.75360864 0.24639134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.87250452588296]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.6169129944856]
Predicted rank: [0], ambiguousness: [[0.6974378  0.30256218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.01504505394465]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.07872786974289]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.10663119707445]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.55843660998389]
Predicted rank: [0], ambiguousness: [[0.7206737 0.2793263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.804690161645]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.37324741319622]
Predicted rank: [0], ambiguousness: [[0.80069757 0.19930242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.52252297151287]
Predicted rank: [0], ambiguousness: [[0.82832855 0.17167147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.85531596728981]
Predicted rank: [0], ambiguousness: [[0.72804993 0.27195007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.86216695544778]
Predicted rank: [0], ambiguousness: [[0.6235157  0.37648425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.1351780482513]
Predicted rank: [0], ambiguousness: [[0.7248225  0.27517745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.41160244947326]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.51768496723221]
Predicted rank: [0], ambiguousness: [[0.8287115  0.17128846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.83404790436133]
Predicted rank: [0], ambiguousness: [[0.80515313 0.19484688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.94135718184793]
Predicted rank: [0], ambiguousness: [[0.82541394 0.17458604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.9839169785825]
Predicted rank: [0], ambiguousness: [[0.9015678  0.09843218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.23495435674045]
Predicted rank: [0], ambiguousness: [[0.6679537  0.33204624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.5847006022511]
Predicted rank: [0], ambiguousness: [[0.69611686 0.30388314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.73203074552944]
Predicted rank: [0], ambiguousness: [[0.74493027 0.2550697 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.77318968079096]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.83806694394863]
Predicted rank: [0], ambiguousness: [[0.6518739 0.3481261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.91120550236661]
Predicted rank: [0], ambiguousness: [[0.8640368  0.13596323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.94552753206791]
Predicted rank: [0], ambiguousness: [[0.65064573 0.34935427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.00965559608599]
Predicted rank: [0], ambiguousness: [[0.72059697 0.27940303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.54101270842972]
Predicted rank: [0], ambiguousness: [[0.8558333  0.14416668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.68549421941826]
Predicted rank: [0], ambiguousness: [[0.8284057  0.17159432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.02561069779804]
Predicted rank: [0], ambiguousness: [[0.73056436 0.2694356 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.62738837014302]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.94334615987027]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.19901085920819]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.43978434924423]
Predicted rank: [0], ambiguousness: [[0.80139464 0.19860536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.7480993866258]
Predicted rank: [0], ambiguousness: [[0.7800162  0.21998383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.86229605986722]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.9069100575613]
Predicted rank: [0], ambiguousness: [[0.8958555  0.10414454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.85840880926256]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.08675960785222]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.34325536738001]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.41029571684226]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.70485800624775]
Predicted rank: [0], ambiguousness: [[0.7901605  0.20983952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.81247178821913]
Predicted rank: [0], ambiguousness: [[0.9261527 0.0738473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.88246653484312]
Predicted rank: [0], ambiguousness: [[0.81440115 0.18559882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.39679882564094]
Predicted rank: [0], ambiguousness: [[0.64408433 0.3559157 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.50501821060669]
Predicted rank: [0], ambiguousness: [[0.8884829  0.11151709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.62087166645702]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.71329571826779]
Predicted rank: [0], ambiguousness: [[0.6490903  0.35090974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.50276059095292]
Predicted rank: [0], ambiguousness: [[0.7060771 0.2939229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75259329305663]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.33024051343693]
Predicted rank: [0], ambiguousness: [[0.80121386 0.19878614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.48012576370854]
Predicted rank: [0], ambiguousness: [[0.8346422 0.1653578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.81210891294475]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.8295882953015]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.10306289622946]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.37914103412862]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.48675179395835]
Predicted rank: [0], ambiguousness: [[0.8442461  0.15575391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.80290130483056]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.91033660918444]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.95293579841868]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.2070411686925]
Predicted rank: [0], ambiguousness: [[0.6772597  0.32274032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.55678799530735]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.70411761171086]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.74527644365742]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.81015337453009]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.88329176893944]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.91761362522377]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.72390322415626]
Predicted rank: [0], ambiguousness: [[0.7199174  0.28008255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.32812267376369]
Predicted rank: [0], ambiguousness: [[0.81253254 0.18746746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.47800755586012]
Predicted rank: [0], ambiguousness: [[0.8150643  0.18493567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.81005815069011]
Predicted rank: [0], ambiguousness: [[0.7122582  0.28774175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.35624105754987]
Predicted rank: [0], ambiguousness: [[0.6213869 0.3786131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.69438057809008]
Predicted rank: [0], ambiguousness: [[0.72301203 0.27698797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.93518627706788]
Predicted rank: [0], ambiguousness: [[0.72223777 0.27776223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.24798159759878]
Predicted rank: [0], ambiguousness: [[0.8186571 0.1813429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.54786869460035]
Predicted rank: [0], ambiguousness: [[0.7940595  0.20594051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.66726453179085]
Predicted rank: [0], ambiguousness: [[0.8193034 0.1806966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.71354168865435]
Predicted rank: [0], ambiguousness: [[0.8989999  0.10100009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.69451821866093]
Predicted rank: [0], ambiguousness: [[0.5806029 0.4193971]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.91409990585915]
Predicted rank: [0], ambiguousness: [[0.6118698 0.3881302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.17975645167827]
Predicted rank: [0], ambiguousness: [[0.72222304 0.27777696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.24867174443338]
Predicted rank: [0], ambiguousness: [[0.8913269  0.10867309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.5630560541099]
Predicted rank: [0], ambiguousness: [[0.82280004 0.17719997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.67291629666497]
Predicted rank: [0], ambiguousness: [[0.9280772 0.0719228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.7453449332985]
Predicted rank: [0], ambiguousness: [[0.8308582  0.16914183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.32140488865221]
Predicted rank: [0], ambiguousness: [[0.65692604 0.34307393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.4301140474703]
Predicted rank: [0], ambiguousness: [[0.88703394 0.11296607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.54680558896061]
Predicted rank: [0], ambiguousness: [[0.7748513 0.2251487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.63999290532226]
Predicted rank: [0], ambiguousness: [[0.65548116 0.34451884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.57970682417468]
Predicted rank: [0], ambiguousness: [[0.6395809 0.3604191]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.90226647572875]
Predicted rank: [0], ambiguousness: [[0.72342867 0.27657133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.15533619587973]
Predicted rank: [0], ambiguousness: [[0.7121836 0.2878164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.41852930437753]
Predicted rank: [0], ambiguousness: [[0.84079796 0.15920202]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.72641961396573]
Predicted rank: [0], ambiguousness: [[0.84542716 0.15457281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.84094619727563]
Predicted rank: [0], ambiguousness: [[0.8132606  0.18673937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.88568222252778]
Predicted rank: [0], ambiguousness: [[0.9101605  0.08983953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.44316210160116]
Predicted rank: [0], ambiguousness: [[0.5824932 0.4175068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.63568010725689]
Predicted rank: [0], ambiguousness: [[0.5941986 0.4058014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.95233508946623]
Predicted rank: [0], ambiguousness: [[0.71222305 0.28777692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.0286073260192]
Predicted rank: [0], ambiguousness: [[0.89623064 0.10376934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.46811012109605]
Predicted rank: [0], ambiguousness: [[0.7880323  0.21196768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.5835214742405]
Predicted rank: [0], ambiguousness: [[0.9252733  0.07472669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.66232249331156]
Predicted rank: [0], ambiguousness: [[0.81660205 0.18339796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.71378328454935]
Predicted rank: [0], ambiguousness: [[0.55864835 0.44135162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.88627780466186]
Predicted rank: [0], ambiguousness: [[0.84785557 0.1521444 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.10504241123186]
Predicted rank: [0], ambiguousness: [[0.7771437  0.22285628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.46020923683821]
Predicted rank: [0], ambiguousness: [[0.79137015 0.20862986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.15860079094449]
Predicted rank: [0], ambiguousness: [[0.65273184 0.34726816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.68928706380908]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.30438831862736]
Predicted rank: [0], ambiguousness: [[0.8024073  0.19759268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.45465456126708]
Predicted rank: [0], ambiguousness: [[0.80504304 0.19495697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.78624589119444]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.33490857402046]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.67503530574356]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.91481922109918]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.23415718797585]
Predicted rank: [0], ambiguousness: [[0.8357824  0.16421759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.53364165060032]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.65335740099712]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.69973566720654]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.68849241368048]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.90807050452804]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.17380738777084]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.2427291592912]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.55738379481187]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.66723831647329]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.73966420507597]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.3160477290906]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.42473287946572]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.54138366962522]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.63453125265085]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.28761693169146]
Predicted rank: [0], ambiguousness: [[0.6120774  0.38792259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.63679315471695]
Predicted rank: [0], ambiguousness: [[0.7200248 0.2799752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.87349669288226]
Predicted rank: [0], ambiguousness: [[0.708697   0.29130298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.22404792690952]
Predicted rank: [0], ambiguousness: [[0.82043815 0.17956185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.52351180419757]
Predicted rank: [0], ambiguousness: [[0.79709625 0.20290376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.64329619473341]
Predicted rank: [0], ambiguousness: [[0.7963845  0.20361549]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.68972805578244]
Predicted rank: [0], ambiguousness: [[0.9005363  0.09946372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.18724379231949]
Predicted rank: [0], ambiguousness: [[0.5682517  0.43174827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.36213486132337]
Predicted rank: [0], ambiguousness: [[0.59980476 0.40019524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.70334942222968]
Predicted rank: [0], ambiguousness: [[0.7119736 0.2880264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.78383367553144]
Predicted rank: [0], ambiguousness: [[0.886335   0.11366495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.28190948870926]
Predicted rank: [0], ambiguousness: [[0.8056387  0.19436136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.4014162077711]
Predicted rank: [0], ambiguousness: [[0.92012185 0.07987814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.48466458237797]
Predicted rank: [0], ambiguousness: [[0.818411   0.18158898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.55307239222498]
Predicted rank: [0], ambiguousness: [[0.5583483  0.44165167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.73022725427639]
Predicted rank: [0], ambiguousness: [[0.8382998  0.16170019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.95737380364584]
Predicted rank: [0], ambiguousness: [[0.7659143  0.23408568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.33400267618853]
Predicted rank: [0], ambiguousness: [[0.80529743 0.19470258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.09840650086346]
Predicted rank: [0], ambiguousness: [[0.63815236 0.36184767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.40732513818344]
Predicted rank: [0], ambiguousness: [[0.5698093 0.4301907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.59643368629052]
Predicted rank: [0], ambiguousness: [[0.6135974  0.38640258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.92084562077045]
Predicted rank: [0], ambiguousness: [[0.70822334 0.29177663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.99807580775581]
Predicted rank: [0], ambiguousness: [[0.8917742  0.10822584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.45954172401011]
Predicted rank: [0], ambiguousness: [[0.8261407  0.17385928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.57524649973817]
Predicted rank: [0], ambiguousness: [[0.9423318  0.05766824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.65429760044493]
Predicted rank: [0], ambiguousness: [[0.82701236 0.17298765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.23273070678297]
Predicted rank: [0], ambiguousness: [[0.5552559  0.44474408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.43353415912213]
Predicted rank: [0], ambiguousness: [[0.8460736  0.15392634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.71179955406907]
Predicted rank: [0], ambiguousness: [[0.77475363 0.22524638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.22785576410955]
Predicted rank: [0], ambiguousness: [[0.7852769  0.21472314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.40668201350857]
Predicted rank: [0], ambiguousness: [[0.562837 0.437163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.40240859570167]
Predicted rank: [0], ambiguousness: [[0.58101803 0.41898197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 108.74532876709965]
Predicted rank: [0], ambiguousness: [[0.72227764 0.27772233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 107.98689366136733]
Predicted rank: [0], ambiguousness: [[0.73229337 0.26770663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.3173856909328]
Predicted rank: [0], ambiguousness: [[0.8047749  0.19522509]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.62000308722946]
Predicted rank: [0], ambiguousness: [[0.7933383  0.20666169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.7380805186222]
Predicted rank: [0], ambiguousness: [[0.80846214 0.19153789]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.78395629232901]
Predicted rank: [0], ambiguousness: [[0.9035033  0.09649669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.3027517512595]
Predicted rank: [0], ambiguousness: [[0.6017988  0.39820126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.4833519581066]
Predicted rank: [0], ambiguousness: [[0.6146235 0.3853765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.81778043485177]
Predicted rank: [0], ambiguousness: [[0.7593747  0.24062532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.89700966149255]
Predicted rank: [0], ambiguousness: [[0.901469   0.09853103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.38019523054206]
Predicted rank: [0], ambiguousness: [[0.84471476 0.15528524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.49832334034528]
Predicted rank: [0], ambiguousness: [[0.9215442  0.07845581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.58008663149946]
Predicted rank: [0], ambiguousness: [[0.8264984  0.17350161]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.6531713477432]
Predicted rank: [0], ambiguousness: [[0.61744726 0.38255277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.82836362431544]
Predicted rank: [0], ambiguousness: [[0.84092724 0.15907274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.05210620306605]
Predicted rank: [0], ambiguousness: [[0.78275615 0.21724384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.42067054353328]
Predicted rank: [0], ambiguousness: [[0.82400346 0.17599657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.1613020269848]
Predicted rank: [0], ambiguousness: [[0.66010714 0.3398929 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.24292455008353]
Predicted rank: [0], ambiguousness: [[0.5656043  0.43439567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.41904990163493]
Predicted rank: [0], ambiguousness: [[0.5880778  0.41192222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 107.76407417960999]
Predicted rank: [0], ambiguousness: [[0.70700467 0.29299533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 107.84457388520579]
Predicted rank: [0], ambiguousness: [[0.8896283  0.11037172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.35831962978666]
Predicted rank: [0], ambiguousness: [[0.81348825 0.18651175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.47672915891965]
Predicted rank: [0], ambiguousness: [[0.93152976 0.06847022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.55868829601417]
Predicted rank: [0], ambiguousness: [[0.81344223 0.18655775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.07803710953166]
Predicted rank: [0], ambiguousness: [[0.54773694 0.45226306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.28661326610678]
Predicted rank: [0], ambiguousness: [[0.8262025 0.1737975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.58060712788514]
Predicted rank: [0], ambiguousness: [[0.75001645 0.24998355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.14037658808287]
Predicted rank: [0], ambiguousness: [[0.78075385 0.21924618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.3408792737219]
Predicted rank: [0], ambiguousness: [[0.52897596 0.47102407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.26945936305866]
Predicted rank: [0], ambiguousness: [[0.54621303 0.45378697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.47137930395061]
Predicted rank: [0], ambiguousness: [[0.8500575  0.14994249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.7533787242858]
Predicted rank: [0], ambiguousness: [[0.766304   0.23369601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.28333937653136]
Predicted rank: [0], ambiguousness: [[0.8191155 0.1808845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 106.97621968577215]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Running local search 8
Switching 8 patient(s). Size of neighborhood: 125970
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.06204042527864]
Predicted rank: [0], ambiguousness: [[0.7485899  0.25141016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.91731413315674]
Predicted rank: [0], ambiguousness: [[0.75784755 0.24215244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.49808506819511]
Predicted rank: [0], ambiguousness: [[0.8499573  0.15004271]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.60631454955012]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.8316398908064]
Predicted rank: [0], ambiguousness: [[0.79328966 0.20671035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.96821313452091]
Predicted rank: [0], ambiguousness: [[0.8226034  0.17739658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.16906169958776]
Predicted rank: [0], ambiguousness: [[0.6225307  0.37746933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.8490191840051]
Predicted rank: [0], ambiguousness: [[0.75792766 0.24207236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.25238230787988]
Predicted rank: [0], ambiguousness: [[0.85905665 0.14094335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.46510258218015]
Predicted rank: [0], ambiguousness: [[0.85655    0.14345002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.69199503163841]
Predicted rank: [0], ambiguousness: [[0.7986469  0.20135304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.8292211303879]
Predicted rank: [0], ambiguousness: [[0.8281392  0.17186084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.02867730145215]
Predicted rank: [0], ambiguousness: [[0.63655245 0.36344758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.17364686938288]
Predicted rank: [0], ambiguousness: [[0.8522223  0.14777765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.58285071832618]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.18322005329695]
Predicted rank: [0], ambiguousness: [[0.88820755 0.11179247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.38560406744463]
Predicted rank: [0], ambiguousness: [[0.91317666 0.08682333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.47169269342498]
Predicted rank: [0], ambiguousness: [[0.7630183 0.2369817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.25881860857706]
Predicted rank: [0], ambiguousness: [[0.8407487  0.15925127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.50139095990336]
Predicted rank: [0], ambiguousness: [[0.8662319  0.13376805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.64873294822176]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.70281671654308]
Predicted rank: [0], ambiguousness: [[0.7982265  0.20177355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.86721437566895]
Predicted rank: [0], ambiguousness: [[0.7052765  0.29472348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.96255137764646]
Predicted rank: [0], ambiguousness: [[0.7002782  0.29972178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.00384710585041]
Predicted rank: [0], ambiguousness: [[0.86257386 0.13742614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.19513158154413]
Predicted rank: [0], ambiguousness: [[0.8594483  0.14055169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.41352363478089]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.64041485720637]
Predicted rank: [0], ambiguousness: [[0.79871714 0.20128286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.77764041877671]
Predicted rank: [0], ambiguousness: [[0.834071 0.165929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.97709770807865]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.83877071897649]
Predicted rank: [0], ambiguousness: [[0.8555574 0.1444426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.30692104742025]
Predicted rank: [0], ambiguousness: [[0.85543334 0.14456667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.944098182344]
Predicted rank: [0], ambiguousness: [[0.8946849  0.10531507]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.15175493564709]
Predicted rank: [0], ambiguousness: [[0.91874593 0.08125408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.22869314820079]
Predicted rank: [0], ambiguousness: [[0.79236376 0.20763627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.12938702936545]
Predicted rank: [0], ambiguousness: [[0.84392667 0.1560733 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.37344867430686]
Predicted rank: [0], ambiguousness: [[0.86959654 0.13040347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.51911564976389]
Predicted rank: [0], ambiguousness: [[0.7848198  0.21518023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.57635679351031]
Predicted rank: [0], ambiguousness: [[0.8082663 0.1917337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.73923997838156]
Predicted rank: [0], ambiguousness: [[0.7218307 0.2781693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83520887031901]
Predicted rank: [0], ambiguousness: [[0.711999 0.288001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.87671662342926]
Predicted rank: [0], ambiguousness: [[0.8572155  0.14278445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.14639465130978]
Predicted rank: [0], ambiguousness: [[0.87111187 0.12888812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.03209695511131]
Predicted rank: [0], ambiguousness: [[0.8533494 0.1466506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.85147157480364]
Predicted rank: [0], ambiguousness: [[0.8869314  0.11306857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.0694175646135]
Predicted rank: [0], ambiguousness: [[0.91432947 0.08567055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.1349764269995]
Predicted rank: [0], ambiguousness: [[0.76801795 0.23198204]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.04538031788815]
Predicted rank: [0], ambiguousness: [[0.78690207 0.21309796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.44936549585047]
Predicted rank: [0], ambiguousness: [[0.85421443 0.14578557]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.42741259014724]
Predicted rank: [0], ambiguousness: [[0.77731514 0.22268483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.02360236415612]
Predicted rank: [0], ambiguousness: [[0.89481676 0.10518323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.06274177861874]
Predicted rank: [0], ambiguousness: [[0.8392799 0.1607201]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.2234612224961]
Predicted rank: [0], ambiguousness: [[0.84815806 0.15184195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.28675214566596]
Predicted rank: [0], ambiguousness: [[0.9229057  0.07709432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.10501782271209]
Predicted rank: [0], ambiguousness: [[0.82438254 0.17561749]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.19629512307702]
Predicted rank: [0], ambiguousness: [[0.75032675 0.24967326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.41675609973169]
Predicted rank: [0], ambiguousness: [[0.7944194  0.20558056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.47765063861922]
Predicted rank: [0], ambiguousness: [[0.9237495  0.07625052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.58324337020844]
Predicted rank: [0], ambiguousness: [[0.7053944  0.29460558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.69012366244363]
Predicted rank: [0], ambiguousness: [[0.9051176  0.09488241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.74404488662422]
Predicted rank: [0], ambiguousness: [[0.7240014  0.27599856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.82227389847498]
Predicted rank: [0], ambiguousness: [[0.8567269  0.14327314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.30455568524755]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.9418990733359]
Predicted rank: [0], ambiguousness: [[0.89557624 0.10442373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.1495026563563]
Predicted rank: [0], ambiguousness: [[0.9224957  0.07750429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.22656926126348]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.12688922118727]
Predicted rank: [0], ambiguousness: [[0.84517324 0.15482673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.3708596211094]
Predicted rank: [0], ambiguousness: [[0.87530667 0.12469331]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.51663470242133]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.57367267621258]
Predicted rank: [0], ambiguousness: [[0.82616454 0.17383544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.73665378864497]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83258394322596]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.87407853853666]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.8136500570091]
Predicted rank: [0], ambiguousness: [[0.8585546  0.14144538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.62698116350408]
Predicted rank: [0], ambiguousness: [[0.84907186 0.15092811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.54843337100132]
Predicted rank: [0], ambiguousness: [[0.88349974 0.11650029]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.77563892299489]
Predicted rank: [0], ambiguousness: [[0.9120821  0.08791793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.82698336390229]
Predicted rank: [0], ambiguousness: [[0.78011847 0.21988155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.79247242112466]
Predicted rank: [0], ambiguousness: [[0.78118336 0.21881661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.21127061759492]
Predicted rank: [0], ambiguousness: [[0.8506477  0.14935233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.17579973461064]
Predicted rank: [0], ambiguousness: [[0.7761642  0.22383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.82049043112377]
Predicted rank: [0], ambiguousness: [[0.8990731  0.10092688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.85014996220508]
Predicted rank: [0], ambiguousness: [[0.847665   0.15233499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.01586452579421]
Predicted rank: [0], ambiguousness: [[0.86236495 0.13763507]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.08077689187637]
Predicted rank: [0], ambiguousness: [[0.92388713 0.07611284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.00861024750593]
Predicted rank: [0], ambiguousness: [[0.8202395  0.17976052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.09809068056924]
Predicted rank: [0], ambiguousness: [[0.7546665  0.24533351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.32010632983445]
Predicted rank: [0], ambiguousness: [[0.7942207  0.20577934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.38130543396667]
Predicted rank: [0], ambiguousness: [[0.9162328  0.08376717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.48796285372028]
Predicted rank: [0], ambiguousness: [[0.71219933 0.28780067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.59532034693726]
Predicted rank: [0], ambiguousness: [[0.8987287  0.10127125]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.64975264942021]
Predicted rank: [0], ambiguousness: [[0.71108973 0.2889103 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.00031613239578]
Predicted rank: [0], ambiguousness: [[0.8509006  0.14909941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.85210155400117]
Predicted rank: [0], ambiguousness: [[0.9267577  0.07324228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.07050323509492]
Predicted rank: [0], ambiguousness: [[0.91973764 0.08026238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.1355409855951]
Predicted rank: [0], ambiguousness: [[0.79118955 0.20881046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.4244578971273]
Predicted rank: [0], ambiguousness: [[0.7845876  0.21541238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.91394038352385]
Predicted rank: [0], ambiguousness: [[0.852494   0.14750598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.84416292596947]
Predicted rank: [0], ambiguousness: [[0.77492636 0.22507364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.71065031600924]
Predicted rank: [0], ambiguousness: [[0.8913299  0.10867009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.72736713505864]
Predicted rank: [0], ambiguousness: [[0.8342929  0.16570711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.90417439251905]
Predicted rank: [0], ambiguousness: [[0.8469822  0.15301783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.97239358343177]
Predicted rank: [0], ambiguousness: [[0.92319864 0.07680137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.8405291525622]
Predicted rank: [0], ambiguousness: [[0.76277274 0.23722725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.73298480634006]
Predicted rank: [0], ambiguousness: [[0.6730408 0.3269592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.12987819679279]
Predicted rank: [0], ambiguousness: [[0.77396667 0.22603332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.23227965068388]
Predicted rank: [0], ambiguousness: [[0.92277545 0.07722455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.70854597157773]
Predicted rank: [0], ambiguousness: [[0.8403072  0.15969281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.87067769279227]
Predicted rank: [0], ambiguousness: [[0.9487683  0.05123169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.98152082756745]
Predicted rank: [0], ambiguousness: [[0.85978293 0.14021705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.8534808994578]
Predicted rank: [0], ambiguousness: [[0.7160509  0.28394908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.01347049111592]
Predicted rank: [0], ambiguousness: [[0.92145646 0.07854352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.19066112706162]
Predicted rank: [0], ambiguousness: [[0.8283161  0.17168394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.33930344412698]
Predicted rank: [0], ambiguousness: [[0.720484 0.279516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.00770328550303]
Predicted rank: [0], ambiguousness: [[0.85489416 0.14510584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.8546385935283]
Predicted rank: [0], ambiguousness: [[0.86101645 0.13898355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.74501539077164]
Predicted rank: [0], ambiguousness: [[0.87890625 0.12109378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.96856126379768]
Predicted rank: [0], ambiguousness: [[0.9195718  0.08042817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.02622335669905]
Predicted rank: [0], ambiguousness: [[0.8065537  0.19344631]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.98779412979778]
Predicted rank: [0], ambiguousness: [[0.77358943 0.22641055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.3996164267288]
Predicted rank: [0], ambiguousness: [[0.8673736  0.13262641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.3712334154302]
Predicted rank: [0], ambiguousness: [[0.8093653  0.19063476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.99362595252296]
Predicted rank: [0], ambiguousness: [[0.91315377 0.08684622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.02862507919524]
Predicted rank: [0], ambiguousness: [[0.8555166  0.14448339]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.19180342438426]
Predicted rank: [0], ambiguousness: [[0.8847613 0.1152387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.25587319434769]
Predicted rank: [0], ambiguousness: [[0.93183094 0.06816906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.13755110621038]
Predicted rank: [0], ambiguousness: [[0.8397292  0.16027078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.22928852339143]
Predicted rank: [0], ambiguousness: [[0.7659881 0.2340119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.44968616375994]
Predicted rank: [0], ambiguousness: [[0.8312936  0.16870645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.51054276667344]
Predicted rank: [0], ambiguousness: [[0.92771065 0.07228934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.61584991280199]
Predicted rank: [0], ambiguousness: [[0.77187604 0.22812396]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.72268806914506]
Predicted rank: [0], ambiguousness: [[0.9004908  0.09950917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.77658977661407]
Predicted rank: [0], ambiguousness: [[0.73048806 0.2695119 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.77709153205102]
Predicted rank: [0], ambiguousness: [[0.84449214 0.15550788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.712849336092]
Predicted rank: [0], ambiguousness: [[0.8960374  0.10396259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.93676029662103]
Predicted rank: [0], ambiguousness: [[0.91267335 0.08732665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.99402947710882]
Predicted rank: [0], ambiguousness: [[0.7830956  0.21690442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.22142086501663]
Predicted rank: [0], ambiguousness: [[0.7744533  0.22554669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.73527142607054]
Predicted rank: [0], ambiguousness: [[0.84563196 0.15436807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.65007003370127]
Predicted rank: [0], ambiguousness: [[0.7686174  0.23138261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.5964926066304]
Predicted rank: [0], ambiguousness: [[0.8894398  0.11056019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.60519238579533]
Predicted rank: [0], ambiguousness: [[0.83347833 0.16652167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.78727171636986]
Predicted rank: [0], ambiguousness: [[0.85277915 0.14722082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.85716179241768]
Predicted rank: [0], ambiguousness: [[0.91585684 0.08414315]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.76582126289577]
Predicted rank: [0], ambiguousness: [[0.7529464 0.2470536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.65063345561438]
Predicted rank: [0], ambiguousness: [[0.6717454  0.32825455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.05610635213432]
Predicted rank: [0], ambiguousness: [[0.7686044  0.23139563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.16021151821695]
Predicted rank: [0], ambiguousness: [[0.9093353  0.09066466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.65635530025463]
Predicted rank: [0], ambiguousness: [[0.85574204 0.14425795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.82043587017289]
Predicted rank: [0], ambiguousness: [[0.9434194  0.05658059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.93342171806484]
Predicted rank: [0], ambiguousness: [[0.8572825  0.14271745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.87008212786903]
Predicted rank: [0], ambiguousness: [[0.7098297  0.29017028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.03005070896128]
Predicted rank: [0], ambiguousness: [[0.910285   0.08971502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.2072557260581]
Predicted rank: [0], ambiguousness: [[0.8080035 0.1919965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.35561489626798]
Predicted rank: [0], ambiguousness: [[0.6993911  0.30060884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.52617571791626]
Predicted rank: [0], ambiguousness: [[0.7933693  0.20663074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.01890219490488]
Predicted rank: [0], ambiguousness: [[0.84638244 0.15361758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.95128408006835]
Predicted rank: [0], ambiguousness: [[0.77422094 0.22577904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.8305677549618]
Predicted rank: [0], ambiguousness: [[0.9103632  0.08963683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.85107466668694]
Predicted rank: [0], ambiguousness: [[0.88473636 0.11526365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.02616228671594]
Predicted rank: [0], ambiguousness: [[0.85744745 0.14255257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.09383906316702]
Predicted rank: [0], ambiguousness: [[0.9305232  0.06947678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.33123104402637]
Predicted rank: [0], ambiguousness: [[0.750318 0.249682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.17005940806342]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.65934209389528]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.77560365330558]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.47658447980751]
Predicted rank: [0], ambiguousness: [[0.83394754 0.16605248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.64996950156461]
Predicted rank: [0], ambiguousness: [[0.94419163 0.05580839]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.7735504656971]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.34325791094528]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.60346443820833]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.94115386473013]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.50239153802495]
Predicted rank: [0], ambiguousness: [[0.83064604 0.16935393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.63252526777222]
Predicted rank: [0], ambiguousness: [[0.70849335 0.29150665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.06117439302798]
Predicted rank: [0], ambiguousness: [[0.681114   0.31888598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.91418997052504]
Predicted rank: [0], ambiguousness: [[0.67193425 0.32806572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.4949609055634]
Predicted rank: [0], ambiguousness: [[0.77326983 0.22673018]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.60319038691843]
Predicted rank: [0], ambiguousness: [[0.79083544 0.20916456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.8285157281747]
Predicted rank: [0], ambiguousness: [[0.71195996 0.28804007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.96508897188923]
Predicted rank: [0], ambiguousness: [[0.75215113 0.24784888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.16593753695608]
Predicted rank: [0], ambiguousness: [[0.5935775  0.40642253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.83975471288181]
Predicted rank: [0], ambiguousness: [[0.67572695 0.32427305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.24325864454721]
Predicted rank: [0], ambiguousness: [[0.80047    0.19952998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.4559789188475]
Predicted rank: [0], ambiguousness: [[0.7989553  0.20104471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.68287136830577]
Predicted rank: [0], ambiguousness: [[0.7252612  0.27473882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.82009746705525]
Predicted rank: [0], ambiguousness: [[0.7623031  0.23769687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.0195536381195]
Predicted rank: [0], ambiguousness: [[0.60329777 0.39670223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.16452320605025]
Predicted rank: [0], ambiguousness: [[0.79330933 0.20669064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.57372705499353]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.17409638996429]
Predicted rank: [0], ambiguousness: [[0.84434956 0.15565044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.37648040411197]
Predicted rank: [0], ambiguousness: [[0.8749995 0.1250005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.46256903009234]
Predicted rank: [0], ambiguousness: [[0.72237206 0.27762792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.24969494524441]
Predicted rank: [0], ambiguousness: [[0.77845085 0.22154918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.4922672965707]
Predicted rank: [0], ambiguousness: [[0.8116698  0.18833017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.63960928488912]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.69369305321044]
Predicted rank: [0], ambiguousness: [[0.72474027 0.2752597 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.85809071233629]
Predicted rank: [0], ambiguousness: [[0.67510056 0.32489944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.95342771431382]
Predicted rank: [0], ambiguousness: [[0.6698301  0.33016995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.99472344251774]
Predicted rank: [0], ambiguousness: [[0.8449628  0.15503724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.16898954774675]
Predicted rank: [0], ambiguousness: [[0.80098677 0.19901322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.38768396969587]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.61457641915413]
Predicted rank: [0], ambiguousness: [[0.7253481  0.27465186]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.75180251790363]
Predicted rank: [0], ambiguousness: [[0.7698758  0.23012418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.95125868896787]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.81563579584127]
Predicted rank: [0], ambiguousness: [[0.7986663  0.20133372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.28393141794815]
Predicted rank: [0], ambiguousness: [[0.7989553  0.20104471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.92117031700664]
Predicted rank: [0], ambiguousness: [[0.8537305  0.14626949]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.12883488337988]
Predicted rank: [0], ambiguousness: [[0.8833493  0.11665068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.20575998673645]
Predicted rank: [0], ambiguousness: [[0.7562906 0.2437094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.10663172978965]
Predicted rank: [0], ambiguousness: [[0.784088   0.21591198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.35069460468566]
Predicted rank: [0], ambiguousness: [[0.817471   0.18252896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.49636023589699]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.55360387748833]
Predicted rank: [0], ambiguousness: [[0.7389841  0.26101592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.71648584582418]
Predicted rank: [0], ambiguousness: [[0.6945362  0.30546382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.81245525890583]
Predicted rank: [0], ambiguousness: [[0.6841619  0.31583807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.85396318938137]
Predicted rank: [0], ambiguousness: [[0.8402655  0.15973446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.12399313080361]
Predicted rank: [0], ambiguousness: [[0.8166324  0.18336761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.00969543460516]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.82907005429749]
Predicted rank: [0], ambiguousness: [[0.8378943  0.16210566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.04701604410735]
Predicted rank: [0], ambiguousness: [[0.8755068  0.12449319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.11257490649335]
Predicted rank: [0], ambiguousness: [[0.7281437  0.27185628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.022978797382]
Predicted rank: [0], ambiguousness: [[0.7093078  0.29069224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.42696397534431]
Predicted rank: [0], ambiguousness: [[0.79473674 0.20526324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.40501106964108]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.00120084364997]
Predicted rank: [0], ambiguousness: [[0.8518678  0.14813219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.0403402581126]
Predicted rank: [0], ambiguousness: [[0.8125237  0.18747625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.20105970198995]
Predicted rank: [0], ambiguousness: [[0.8188089  0.18119109]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.2643506251598]
Predicted rank: [0], ambiguousness: [[0.90546477 0.09453525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.08261630220593]
Predicted rank: [0], ambiguousness: [[0.7562076 0.2437924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.17389360257087]
Predicted rank: [0], ambiguousness: [[0.7215111 0.2784889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.39435457922553]
Predicted rank: [0], ambiguousness: [[0.7691269  0.23087311]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.45524911811307]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.56084184970229]
Predicted rank: [0], ambiguousness: [[0.6736486  0.32635143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.66772214193746]
Predicted rank: [0], ambiguousness: [[0.8915856 0.1084144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.72164336611807]
Predicted rank: [0], ambiguousness: [[0.69338906 0.3066109 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.73479767251675]
Predicted rank: [0], ambiguousness: [[0.7991865  0.20081346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.22393486780135]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.86357503749815]
Predicted rank: [0], ambiguousness: [[0.85413444 0.14586554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.07149488195734]
Predicted rank: [0], ambiguousness: [[0.8879133  0.11208674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.14801231389195]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.05505430639347]
Predicted rank: [0], ambiguousness: [[0.78416187 0.21583813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.29911595133487]
Predicted rank: [0], ambiguousness: [[0.8236927  0.17630734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.4447829267919]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.50202407053833]
Predicted rank: [0], ambiguousness: [[0.7597915  0.24020852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.66490725540959]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.76087614734703]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.80238390045727]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.74408391816259]
Predicted rank: [0], ambiguousness: [[0.80259377 0.19740622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.55391977648503]
Predicted rank: [0], ambiguousness: [[0.79749626 0.20250373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.48100712809145]
Predicted rank: [0], ambiguousness: [[0.8414926  0.15850739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.70873024905487]
Predicted rank: [0], ambiguousness: [[0.8789692 0.1210308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.75927464338135]
Predicted rank: [0], ambiguousness: [[0.7530484 0.2469516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.72783681925236]
Predicted rank: [0], ambiguousness: [[0.7142171  0.28578287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.14746107418999]
Predicted rank: [0], ambiguousness: [[0.79948336 0.20051663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.1112334169199]
Predicted rank: [0], ambiguousness: [[0.7600168  0.23998323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.75861917416302]
Predicted rank: [0], ambiguousness: [[0.8648169  0.13518307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.78774526080895]
Predicted rank: [0], ambiguousness: [[0.83068997 0.16931003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.95373705837693]
Predicted rank: [0], ambiguousness: [[0.84338766 0.15661235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.01873949331716]
Predicted rank: [0], ambiguousness: [[0.9116427  0.08835731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.95246002113247]
Predicted rank: [0], ambiguousness: [[0.76157784 0.23842213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.04181686302547]
Predicted rank: [0], ambiguousness: [[0.7374928 0.2625072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.2639332692882]
Predicted rank: [0], ambiguousness: [[0.779005   0.22099501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.3251526146116]
Predicted rank: [0], ambiguousness: [[0.9090053  0.09099472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.43188438622599]
Predicted rank: [0], ambiguousness: [[0.69326115 0.30673882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.53927316515245]
Predicted rank: [0], ambiguousness: [[0.890172   0.10982802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.59373856635486]
Predicted rank: [0], ambiguousness: [[0.69211006 0.3078899 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.94827798178682]
Predicted rank: [0], ambiguousness: [[0.7938485  0.20615146]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.80105863457489]
Predicted rank: [0], ambiguousness: [[0.8951555  0.10484453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.01956660350123]
Predicted rank: [0], ambiguousness: [[0.8854807  0.11451932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.0844240971549]
Predicted rank: [0], ambiguousness: [[0.7583972  0.24160281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.37224727648648]
Predicted rank: [0], ambiguousness: [[0.71078587 0.28921416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.86210936295303]
Predicted rank: [0], ambiguousness: [[0.7959055  0.20409456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.79203233875467]
Predicted rank: [0], ambiguousness: [[0.7519206  0.24807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.65972688984172]
Predicted rank: [0], ambiguousness: [[0.8469656  0.15303439]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.67624830402036]
Predicted rank: [0], ambiguousness: [[0.8066151  0.19338489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.8531609771203]
Predicted rank: [0], ambiguousness: [[0.820969   0.17903098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.92141447769032]
Predicted rank: [0], ambiguousness: [[0.90874636 0.09125365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.7897365945301]
Predicted rank: [0], ambiguousness: [[0.6845025  0.31549752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.68196539207338]
Predicted rank: [0], ambiguousness: [[0.64439976 0.35560024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.0790677914483]
Predicted rank: [0], ambiguousness: [[0.75089437 0.24910562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.1815138971443]
Predicted rank: [0], ambiguousness: [[0.913189 0.086811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.65817981321487]
Predicted rank: [0], ambiguousness: [[0.8172548  0.18274522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.82036917858122]
Predicted rank: [0], ambiguousness: [[0.9402597  0.05974031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.93127320343001]
Predicted rank: [0], ambiguousness: [[0.83552337 0.16447665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.80442439901594]
Predicted rank: [0], ambiguousness: [[0.68943906 0.31056097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.96444206032486]
Predicted rank: [0], ambiguousness: [[0.91172194 0.08827803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.14167993783488]
Predicted rank: [0], ambiguousness: [[0.80942535 0.19057462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.29037243486827]
Predicted rank: [0], ambiguousness: [[0.69411004 0.30588996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.70838665533768]
Predicted rank: [0], ambiguousness: [[0.79206914 0.20793086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.52652568681087]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.46378459329455]
Predicted rank: [0], ambiguousness: [[0.842755   0.15724498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.69205884739748]
Predicted rank: [0], ambiguousness: [[0.8843235 0.1156765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.7419527771095]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.72548228846452]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.14511598727404]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.10900720411844]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.75645925715739]
Predicted rank: [0], ambiguousness: [[0.8782315 0.1217685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.78572413152938]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.95166660405681]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.01665028574782]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.95000711027896]
Predicted rank: [0], ambiguousness: [[0.7707712  0.22922881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.03948754334226]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.26150319260748]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.32270229673969]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.42935971649331]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.53671720971029]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.59114951219325]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.47007109504824]
Predicted rank: [0], ambiguousness: [[0.791061   0.20893902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.45510915850014]
Predicted rank: [0], ambiguousness: [[0.8513371  0.14866291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.68340727854627]
Predicted rank: [0], ambiguousness: [[0.87412107 0.12587893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.7333888388464]
Predicted rank: [0], ambiguousness: [[0.7381593  0.26184073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.91931114743292]
Predicted rank: [0], ambiguousness: [[0.7037934 0.2962066]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.44946267038193]
Predicted rank: [0], ambiguousness: [[0.7912607  0.20873927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.35192261730847]
Predicted rank: [0], ambiguousness: [[0.75068045 0.24931957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.3506982397229]
Predicted rank: [0], ambiguousness: [[0.8477199  0.15228006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.35164479452482]
Predicted rank: [0], ambiguousness: [[0.81022394 0.18977606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.53797733784492]
Predicted rank: [0], ambiguousness: [[0.83167577 0.16832423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.60924632158378]
Predicted rank: [0], ambiguousness: [[0.9065379 0.0934621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.53009772071134]
Predicted rank: [0], ambiguousness: [[0.6783471  0.32165292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.4061348036031]
Predicted rank: [0], ambiguousness: [[0.6497212 0.3502788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.81985529686943]
Predicted rank: [0], ambiguousness: [[0.75066674 0.24933326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.92569555476204]
Predicted rank: [0], ambiguousness: [[0.90473866 0.09526132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.43829647434794]
Predicted rank: [0], ambiguousness: [[0.8384704  0.16152962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.60456064158029]
Predicted rank: [0], ambiguousness: [[0.93843514 0.06156487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.71985515153838]
Predicted rank: [0], ambiguousness: [[0.8425914  0.15740862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.70471161894721]
Predicted rank: [0], ambiguousness: [[0.68917847 0.31082156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.86560155857993]
Predicted rank: [0], ambiguousness: [[0.9057315  0.09426852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.04432833162193]
Predicted rank: [0], ambiguousness: [[0.7994027  0.20059729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.1943597098373]
Predicted rank: [0], ambiguousness: [[0.6878048  0.31219518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.32792784022706]
Predicted rank: [0], ambiguousness: [[0.72717035 0.27282962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.82891210167104]
Predicted rank: [0], ambiguousness: [[0.7927304  0.20726962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.7545323467354]
Predicted rank: [0], ambiguousness: [[0.74827766 0.25172234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.66002916655017]
Predicted rank: [0], ambiguousness: [[0.87614405 0.12385593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.67599537073572]
Predicted rank: [0], ambiguousness: [[0.8626943  0.13730569]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.85337092958102]
Predicted rank: [0], ambiguousness: [[0.83118266 0.16881733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.92180118349577]
Predicted rank: [0], ambiguousness: [[0.9197009 0.0802991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.13535032829279]
Predicted rank: [0], ambiguousness: [[0.68152595 0.31847402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.96635626465465]
Predicted rank: [0], ambiguousness: [[0.6412432 0.3587568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.46427220576632]
Predicted rank: [0], ambiguousness: [[0.7483139 0.2516861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.5821658629152]
Predicted rank: [0], ambiguousness: [[0.9120929  0.08790708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.30133872977892]
Predicted rank: [0], ambiguousness: [[0.80780333 0.19219667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.47658847997408]
Predicted rank: [0], ambiguousness: [[0.93667704 0.06332298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.60214873232218]
Predicted rank: [0], ambiguousness: [[0.8342687  0.16573128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.16395639249981]
Predicted rank: [0], ambiguousness: [[0.603271   0.39672902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.42684535242283]
Predicted rank: [0], ambiguousness: [[0.8761492  0.12385081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.76908596204497]
Predicted rank: [0], ambiguousness: [[0.8072956  0.19270436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.34056765241124]
Predicted rank: [0], ambiguousness: [[0.81478995 0.18521003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.4997566027356]
Predicted rank: [0], ambiguousness: [[0.6930684  0.30693164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.70299986929075]
Predicted rank: [0], ambiguousness: [[0.79290676 0.20709325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.65424445477092]
Predicted rank: [0], ambiguousness: [[0.8342466  0.16575341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.87882386530883]
Predicted rank: [0], ambiguousness: [[0.8708028  0.12919717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.93519641692055]
Predicted rank: [0], ambiguousness: [[0.75261766 0.24738233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.16276484175495]
Predicted rank: [0], ambiguousness: [[0.6945638 0.3054362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.67981465154678]
Predicted rank: [0], ambiguousness: [[0.81317675 0.18682328]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.59277221587851]
Predicted rank: [0], ambiguousness: [[0.7866223 0.2133777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.54968910963292]
Predicted rank: [0], ambiguousness: [[0.8679125  0.13208751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.55753916030366]
Predicted rank: [0], ambiguousness: [[0.8195946 0.1804054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.74020794247606]
Predicted rank: [0], ambiguousness: [[0.8582451  0.14175491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.81028560717579]
Predicted rank: [0], ambiguousness: [[0.91612804 0.08387195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.72870376039617]
Predicted rank: [0], ambiguousness: [[0.7077393 0.2922607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.61310141020708]
Predicted rank: [0], ambiguousness: [[0.6637279  0.33627215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.01908080934105]
Predicted rank: [0], ambiguousness: [[0.7935465  0.20645352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.1232783288228]
Predicted rank: [0], ambiguousness: [[0.91764987 0.08235011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.62061347357547]
Predicted rank: [0], ambiguousness: [[0.8719945 0.1280055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.78479022473095]
Predicted rank: [0], ambiguousness: [[0.9395528 0.0604472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.89788344176583]
Predicted rank: [0], ambiguousness: [[0.84979945 0.15020055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.8375864772492]
Predicted rank: [0], ambiguousness: [[0.7389555  0.26104453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.99755505834146]
Predicted rank: [0], ambiguousness: [[0.9073843  0.09261572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.17476007543826]
Predicted rank: [0], ambiguousness: [[0.81441903 0.185581  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.32311924564814]
Predicted rank: [0], ambiguousness: [[0.7220944 0.2779056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.06801057740816]
Predicted rank: [0], ambiguousness: [[0.6963816  0.30361837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.60038067651648]
Predicted rank: [0], ambiguousness: [[0.784455 0.215545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.5076943829867]
Predicted rank: [0], ambiguousness: [[0.7471665  0.25283352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.51722763199561]
Predicted rank: [0], ambiguousness: [[0.8614012  0.13859878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.5246745799956]
Predicted rank: [0], ambiguousness: [[0.82722616 0.17277387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.70770325692735]
Predicted rank: [0], ambiguousness: [[0.8242947  0.17570533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.77794524841045]
Predicted rank: [0], ambiguousness: [[0.91224146 0.08775854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.92244818193015]
Predicted rank: [0], ambiguousness: [[0.6697911 0.3302089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.73402663424434]
Predicted rank: [0], ambiguousness: [[0.63988924 0.36011073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.26033877821646]
Predicted rank: [0], ambiguousness: [[0.7425454  0.25745457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.38296015808083]
Predicted rank: [0], ambiguousness: [[0.89700115 0.10299885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.17185738571129]
Predicted rank: [0], ambiguousness: [[0.8198643 0.1801357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.35147040819118]
Predicted rank: [0], ambiguousness: [[0.92750007 0.07249993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.48176931642482]
Predicted rank: [0], ambiguousness: [[0.82568926 0.17431076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.07413570485588]
Predicted rank: [0], ambiguousness: [[0.595973   0.40402696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.34149211381148]
Predicted rank: [0], ambiguousness: [[0.85951596 0.14048402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.6919749893341]
Predicted rank: [0], ambiguousness: [[0.7851412  0.21485879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.28582763209155]
Predicted rank: [0], ambiguousness: [[0.81683344 0.18316658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.5164882580739]
Predicted rank: [0], ambiguousness: [[0.6632594  0.33674058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.23664305915871]
Predicted rank: [0], ambiguousness: [[0.6638485 0.3361515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.06945761594841]
Predicted rank: [0], ambiguousness: [[0.66312873 0.33687127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.57185344897856]
Predicted rank: [0], ambiguousness: [[0.7475523 0.2524477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.68975142717429]
Predicted rank: [0], ambiguousness: [[0.90585726 0.09414276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.42756814345856]
Predicted rank: [0], ambiguousness: [[0.8446487  0.15535128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.6015000845621]
Predicted rank: [0], ambiguousness: [[0.94977707 0.05022294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.72555692381889]
Predicted rank: [0], ambiguousness: [[0.839641   0.16035903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.53379849910024]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.84000410463267]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.27411195229388]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.09562264011595]
Predicted rank: [0], ambiguousness: [[0.7966517  0.20334828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.86008063515689]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.06121733844982]
Predicted rank: [0], ambiguousness: [[0.71576154 0.2842385 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.91350988962613]
Predicted rank: [0], ambiguousness: [[0.7153285 0.2846715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.49428082466449]
Predicted rank: [0], ambiguousness: [[0.813331   0.18666896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.60251030601951]
Predicted rank: [0], ambiguousness: [[0.8162992  0.18370081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.82783564727578]
Predicted rank: [0], ambiguousness: [[0.74391663 0.2560834 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.96440889099031]
Predicted rank: [0], ambiguousness: [[0.7810203  0.21897973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.16525745605715]
Predicted rank: [0], ambiguousness: [[0.53517693 0.46482307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.83676987439961]
Predicted rank: [0], ambiguousness: [[0.68235147 0.31764853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.24027379579533]
Predicted rank: [0], ambiguousness: [[0.79549766 0.20450236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.45299407009561]
Predicted rank: [0], ambiguousness: [[0.80379343 0.19620658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.67988651955386]
Predicted rank: [0], ambiguousness: [[0.72812444 0.27187556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.81711261830336]
Predicted rank: [0], ambiguousness: [[0.7677669  0.23223312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.01656878936762]
Predicted rank: [0], ambiguousness: [[0.5543332  0.44566676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.16153835729834]
Predicted rank: [0], ambiguousness: [[0.7842394 0.2157606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.57074220624165]
Predicted rank: [0], ambiguousness: [[0.7965192 0.2034808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.17111154121241]
Predicted rank: [0], ambiguousness: [[0.8313167 0.1686833]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.37349555536008]
Predicted rank: [0], ambiguousness: [[0.86892194 0.13107806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.45958418134043]
Predicted rank: [0], ambiguousness: [[0.67633265 0.32366735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.24671009649254]
Predicted rank: [0], ambiguousness: [[0.7787803  0.22121973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.48928244781882]
Predicted rank: [0], ambiguousness: [[0.81438947 0.18561056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.63662443613723]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.69070820445853]
Predicted rank: [0], ambiguousness: [[0.72829497 0.271705  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.85510586358441]
Predicted rank: [0], ambiguousness: [[0.6228894 0.3771106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.95044286556193]
Predicted rank: [0], ambiguousness: [[0.6210202  0.37897983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.99173859376586]
Predicted rank: [0], ambiguousness: [[0.8203239  0.17967613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.15984133949499]
Predicted rank: [0], ambiguousness: [[0.82767296 0.17232701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.37853889396013]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.60543134341839]
Predicted rank: [0], ambiguousness: [[0.7541417  0.24585828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.74265744216787]
Predicted rank: [0], ambiguousness: [[0.79790753 0.20209247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.94211361323212]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.80663151762647]
Predicted rank: [0], ambiguousness: [[0.8239928  0.17600721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.27492713973336]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.91216603879185]
Predicted rank: [0], ambiguousness: [[0.86856174 0.13143823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.11983060516508]
Predicted rank: [0], ambiguousness: [[0.8993655 0.1006345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.19675570852166]
Predicted rank: [0], ambiguousness: [[0.7324523  0.26754776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.09762745157485]
Predicted rank: [0], ambiguousness: [[0.80835056 0.19164944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.34169032647085]
Predicted rank: [0], ambiguousness: [[0.8409033  0.15909675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.48735595768218]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.54459959927354]
Predicted rank: [0], ambiguousness: [[0.7696529  0.23034711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.70748156760939]
Predicted rank: [0], ambiguousness: [[0.64754164 0.3524584 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.80345098069103]
Predicted rank: [0], ambiguousness: [[0.6400963 0.3599037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.84495891116657]
Predicted rank: [0], ambiguousness: [[0.81199455 0.18800545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.11498885258882]
Predicted rank: [0], ambiguousness: [[0.8401512 0.1598488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.00069115639036]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.82006577608269]
Predicted rank: [0], ambiguousness: [[0.8572117  0.14278832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.03801176589255]
Predicted rank: [0], ambiguousness: [[0.8924687  0.10753132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.10357062827855]
Predicted rank: [0], ambiguousness: [[0.70031166 0.29968837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.01397451916719]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.4179596971295]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.39600679142629]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.99219656543517]
Predicted rank: [0], ambiguousness: [[0.868692 0.131308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.03133597989779]
Predicted rank: [0], ambiguousness: [[0.78389823 0.21610178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.19205542377516]
Predicted rank: [0], ambiguousness: [[0.79767984 0.20232016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.255346346945]
Predicted rank: [0], ambiguousness: [[0.8941761  0.10582384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.07361202399115]
Predicted rank: [0], ambiguousness: [[0.7854402  0.21455976]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.16488932435608]
Predicted rank: [0], ambiguousness: [[0.6767349  0.32326505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.38535030101075]
Predicted rank: [0], ambiguousness: [[0.73227686 0.26772314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.44624483989827]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.55183757148748]
Predicted rank: [0], ambiguousness: [[0.62891173 0.3710883 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.65871786372267]
Predicted rank: [0], ambiguousness: [[0.8646796  0.13532041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.71263908790328]
Predicted rank: [0], ambiguousness: [[0.6499522  0.35004786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.70778891699388]
Predicted rank: [0], ambiguousness: [[0.82446194 0.17553803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.19776903004171]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.83753087545637]
Predicted rank: [0], ambiguousness: [[0.86893106 0.13106897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.04546482434455]
Predicted rank: [0], ambiguousness: [[0.90337133 0.09662864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.12195913426731]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.02933010140393]
Predicted rank: [0], ambiguousness: [[0.80841815 0.19158183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.27339297629993]
Predicted rank: [0], ambiguousness: [[0.8464762  0.15352382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.41905860751126]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.47630224910262]
Predicted rank: [0], ambiguousness: [[0.78871447 0.21128552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.63918421743847]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.73515363052009]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.77666156099565]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.72091377907753]
Predicted rank: [0], ambiguousness: [[0.8284241  0.17157592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.5306677343367]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.45796582551915]
Predicted rank: [0], ambiguousness: [[0.8612021  0.13879785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.68570636538934]
Predicted rank: [0], ambiguousness: [[0.8960996  0.10390039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.73622515990884]
Predicted rank: [0], ambiguousness: [[0.72804993 0.27195007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.70493331310468]
Predicted rank: [0], ambiguousness: [[0.74548805 0.25451195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.12458292612942]
Predicted rank: [0], ambiguousness: [[0.8260352  0.17396478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.08833374327563]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.73580322819988]
Predicted rank: [0], ambiguousness: [[0.88103426 0.11896574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.76491494482147]
Predicted rank: [0], ambiguousness: [[0.80515313 0.19484688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.93091460675959]
Predicted rank: [0], ambiguousness: [[0.82541394 0.17458604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.99591955134176]
Predicted rank: [0], ambiguousness: [[0.9015678  0.09843218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.9298211057984]
Predicted rank: [0], ambiguousness: [[0.7918422  0.20815775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.01917640728682]
Predicted rank: [0], ambiguousness: [[0.69611686 0.30388314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.24129418391438]
Predicted rank: [0], ambiguousness: [[0.74493027 0.2550697 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.30251379754803]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.4092464244225]
Predicted rank: [0], ambiguousness: [[0.6518739 0.3481261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.51663563071845]
Predicted rank: [0], ambiguousness: [[0.8640368  0.13596323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.57110148115451]
Predicted rank: [0], ambiguousness: [[0.65064573 0.34935427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.9259934453792]
Predicted rank: [0], ambiguousness: [[0.8185805 0.1814195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.77877409816728]
Predicted rank: [0], ambiguousness: [[0.9075613  0.09243868]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.99728206709364]
Predicted rank: [0], ambiguousness: [[0.90034497 0.09965505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.0621395607473]
Predicted rank: [0], ambiguousness: [[0.73056436 0.2694356 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.34996274007887]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.83982482654544]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.76974780234707]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.63744235343412]
Predicted rank: [0], ambiguousness: [[0.8660729  0.13392708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.65396376761275]
Predicted rank: [0], ambiguousness: [[0.7800162  0.21998383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.83087644071267]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.89912994128272]
Predicted rank: [0], ambiguousness: [[0.8958555  0.10414454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.76745205812247]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.65968085566578]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.0567832550407]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.15922936073669]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.63589527680726]
Predicted rank: [0], ambiguousness: [[0.7901605  0.20983952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.79808464217362]
Predicted rank: [0], ambiguousness: [[0.9261527 0.0738473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.90898866702241]
Predicted rank: [0], ambiguousness: [[0.81440115 0.18559882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.78213986260835]
Predicted rank: [0], ambiguousness: [[0.64408433 0.3559157 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.94215752391726]
Predicted rank: [0], ambiguousness: [[0.8884829  0.11151709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.11939540142728]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.26808789846066]
Predicted rank: [0], ambiguousness: [[0.6490903  0.35090974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.61293580917172]
Predicted rank: [0], ambiguousness: [[0.81803644 0.18196356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.42924574849661]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.37544018034302]
Predicted rank: [0], ambiguousness: [[0.8615888  0.13841121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.60444723755674]
Predicted rank: [0], ambiguousness: [[0.90022105 0.09977896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.65325167079423]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.64378980606179]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.06439464254112]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.0274192257918]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.67804515997788]
Predicted rank: [0], ambiguousness: [[0.8924395  0.10756055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.70670896820022]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.87296786662071]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.93805384546559]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.87824428225903]
Predicted rank: [0], ambiguousness: [[0.7987224  0.20127764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.96760112415205]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.18971753041475]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.25093687573818]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.35766864735257]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.46505742627903]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.51952282748144]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.39232053406644]
Predicted rank: [0], ambiguousness: [[0.8180791  0.18192087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.38492002955597]
Predicted rank: [0], ambiguousness: [[0.8700275  0.12997253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.61376648691237]
Predicted rank: [0], ambiguousness: [[0.89186674 0.10813325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.66290956856948]
Predicted rank: [0], ambiguousness: [[0.7122582  0.28774175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.84371334340491]
Predicted rank: [0], ambiguousness: [[0.7437654 0.2562346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.37609958076831]
Predicted rank: [0], ambiguousness: [[0.8247296  0.17527036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.27702705837058]
Predicted rank: [0], ambiguousness: [[0.72223777 0.27776223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.28305421136884]
Predicted rank: [0], ambiguousness: [[0.8735826  0.12641741]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.2831241962663]
Predicted rank: [0], ambiguousness: [[0.7940595  0.20594051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.46998297436059]
Predicted rank: [0], ambiguousness: [[0.8193034 0.1806966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.541420253493]
Predicted rank: [0], ambiguousness: [[0.8989999  0.10100009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.46520407864014]
Predicted rank: [0], ambiguousness: [[0.7235961  0.27640387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.34033537503734]
Predicted rank: [0], ambiguousness: [[0.6118698 0.3881302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.75498278138623]
Predicted rank: [0], ambiguousness: [[0.72222304 0.27777696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.86101150791785]
Predicted rank: [0], ambiguousness: [[0.8913269  0.10867309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.37560283718335]
Predicted rank: [0], ambiguousness: [[0.82280004 0.17719997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.54209288470011]
Predicted rank: [0], ambiguousness: [[0.9280772 0.0719228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.65763081778093]
Predicted rank: [0], ambiguousness: [[0.8308582  0.16914183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.64845515130816]
Predicted rank: [0], ambiguousness: [[0.65692604 0.34307393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.80940180720975]
Predicted rank: [0], ambiguousness: [[0.88703394 0.11296607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.9882245731083]
Predicted rank: [0], ambiguousness: [[0.7748513 0.2251487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.13834888119263]
Predicted rank: [0], ambiguousness: [[0.65548116 0.34451884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.2755110668479]
Predicted rank: [0], ambiguousness: [[0.75836545 0.24163455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.77690929319004]
Predicted rank: [0], ambiguousness: [[0.82066625 0.17933373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.70221734611721]
Predicted rank: [0], ambiguousness: [[0.7121836 0.2878164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.60903329285028]
Predicted rank: [0], ambiguousness: [[0.894336   0.10566403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.6248025106407]
Predicted rank: [0], ambiguousness: [[0.84542716 0.15457281]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.8022846710927]
Predicted rank: [0], ambiguousness: [[0.8132606  0.18673937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.8707496845152]
Predicted rank: [0], ambiguousness: [[0.9101605  0.08983953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.08309243970132]
Predicted rank: [0], ambiguousness: [[0.7191398 0.2808602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.91373458375453]
Predicted rank: [0], ambiguousness: [[0.5941986 0.4058014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.41208461004575]
Predicted rank: [0], ambiguousness: [[0.71222305 0.28777692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.53005776539715]
Predicted rank: [0], ambiguousness: [[0.89623064 0.10376934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.2501832617111]
Predicted rank: [0], ambiguousness: [[0.7880323  0.21196768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.42551990089598]
Predicted rank: [0], ambiguousness: [[0.9252733  0.07472669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.55117318041201]
Predicted rank: [0], ambiguousness: [[0.81660205 0.18339796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.11285488331461]
Predicted rank: [0], ambiguousness: [[0.55864835 0.44135162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.37585926616863]
Predicted rank: [0], ambiguousness: [[0.84785557 0.1521444 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.71829796398103]
Predicted rank: [0], ambiguousness: [[0.7771437  0.22285628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.29023611840799]
Predicted rank: [0], ambiguousness: [[0.79137015 0.20862986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.45077895536491]
Predicted rank: [0], ambiguousness: [[0.65273184 0.34726816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.33463490133971]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.34829791335798]
Predicted rank: [0], ambiguousness: [[0.862482 0.137518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.57784253100971]
Predicted rank: [0], ambiguousness: [[0.88542217 0.11457781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.62615071851725]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.8120006481205]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.34811899431674]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.24714076439284]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.26548166875975]
Predicted rank: [0], ambiguousness: [[0.88624173 0.11375827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.26483753072446]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.452272673183]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.52389233650835]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.46287091049238]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.3381240709267]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.75280157680746]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.85881643829741]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.3736687173342]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.54011481193774]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.6556123841485]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.64622546581879]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.8071154054515]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.9858421784935]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.13587355670886]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.73777416693756]
Predicted rank: [0], ambiguousness: [[0.7361876  0.26381245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.28981081773874]
Predicted rank: [0], ambiguousness: [[0.81815827 0.18184173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.18345321451736]
Predicted rank: [0], ambiguousness: [[0.708697   0.29130298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.2567186049694]
Predicted rank: [0], ambiguousness: [[0.87984455 0.12015548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.25620324174392]
Predicted rank: [0], ambiguousness: [[0.79709625 0.20290376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.4436432478494]
Predicted rank: [0], ambiguousness: [[0.7963845  0.20361549]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.51532306788764]
Predicted rank: [0], ambiguousness: [[0.9005363  0.09946372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.61351742413478]
Predicted rank: [0], ambiguousness: [[0.71337724 0.2866228 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.4100088271681]
Predicted rank: [0], ambiguousness: [[0.59980476 0.40019524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 103.95504512826486]
Predicted rank: [0], ambiguousness: [[0.7119736 0.2880264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.08101040563594]
Predicted rank: [0], ambiguousness: [[0.886335   0.11366495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.91225512661178]
Predicted rank: [0], ambiguousness: [[0.8056387  0.19436136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.09537685573763]
Predicted rank: [0], ambiguousness: [[0.92012185 0.07987814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.2294351904091]
Predicted rank: [0], ambiguousness: [[0.818411   0.18158898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.8220156456387]
Predicted rank: [0], ambiguousness: [[0.5583483  0.44165167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.09386313850905]
Predicted rank: [0], ambiguousness: [[0.8382998  0.16170019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.45217839257825]
Predicted rank: [0], ambiguousness: [[0.7659143  0.23408568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.06476410022975]
Predicted rank: [0], ambiguousness: [[0.80529743 0.19470258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.349946587963]
Predicted rank: [0], ambiguousness: [[0.63815236 0.36184767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.03492051253413]
Predicted rank: [0], ambiguousness: [[0.70853 0.29147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.85956574158998]
Predicted rank: [0], ambiguousness: [[0.6135974  0.38640258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.37138532824241]
Predicted rank: [0], ambiguousness: [[0.70822334 0.29177663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.4910101075472]
Predicted rank: [0], ambiguousness: [[0.8917742  0.10822584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.24919649424483]
Predicted rank: [0], ambiguousness: [[0.8261407  0.17385928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.42502014879955]
Predicted rank: [0], ambiguousness: [[0.9423318  0.05766824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.5510793724149]
Predicted rank: [0], ambiguousness: [[0.82701236 0.17298765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.32270962877911]
Predicted rank: [0], ambiguousness: [[0.5552559  0.44474408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.63340504171684]
Predicted rank: [0], ambiguousness: [[0.8460736  0.15392634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.07584500980573]
Predicted rank: [0], ambiguousness: [[0.77475363 0.22524638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.91790115485077]
Predicted rank: [0], ambiguousness: [[0.7852769  0.21472314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.67737894829335]
Predicted rank: [0], ambiguousness: [[0.562837 0.437163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 104.98752495517684]
Predicted rank: [0], ambiguousness: [[0.7103629 0.2896371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.52556029697654]
Predicted rank: [0], ambiguousness: [[0.81981915 0.18018086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.43009525336785]
Predicted rank: [0], ambiguousness: [[0.73229337 0.26770663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.4583041760124]
Predicted rank: [0], ambiguousness: [[0.86853296 0.13146704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.46477110416811]
Predicted rank: [0], ambiguousness: [[0.7933383  0.20666169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.64848737371733]
Predicted rank: [0], ambiguousness: [[0.80846214 0.19153789]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.7189538588663]
Predicted rank: [0], ambiguousness: [[0.9035033  0.09649669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.86264958295165]
Predicted rank: [0], ambiguousness: [[0.74079156 0.2592084 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.6718744039558]
Predicted rank: [0], ambiguousness: [[0.6146235 0.3853765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.20194615338248]
Predicted rank: [0], ambiguousness: [[0.7593747  0.24062532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.32515983534239]
Predicted rank: [0], ambiguousness: [[0.901469   0.09853103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.12350660471344]
Predicted rank: [0], ambiguousness: [[0.84471476 0.15528524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.30361535134705]
Predicted rank: [0], ambiguousness: [[0.9215442  0.07845581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.43444642268045]
Predicted rank: [0], ambiguousness: [[0.8264984  0.17350161]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.03630361905718]
Predicted rank: [0], ambiguousness: [[0.61744726 0.38255277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.3039123412421]
Predicted rank: [0], ambiguousness: [[0.84092724 0.15907274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.6548869266089]
Predicted rank: [0], ambiguousness: [[0.78275615 0.21724384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.25007544870711]
Predicted rank: [0], ambiguousness: [[0.82400346 0.17599657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.48410959155262]
Predicted rank: [0], ambiguousness: [[0.66010714 0.3398929 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.76267045692086]
Predicted rank: [0], ambiguousness: [[0.70497894 0.29502103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.56392200022918]
Predicted rank: [0], ambiguousness: [[0.5880778  0.41192222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.11260345359008]
Predicted rank: [0], ambiguousness: [[0.70700467 0.29299533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.23803293244066]
Predicted rank: [0], ambiguousness: [[0.8896283  0.11037172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.08997677714422]
Predicted rank: [0], ambiguousness: [[0.81348825 0.18651175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.27054657822606]
Predicted rank: [0], ambiguousness: [[0.93152976 0.06847022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.4016794993905]
Predicted rank: [0], ambiguousness: [[0.81344223 0.18655775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.06839394395459]
Predicted rank: [0], ambiguousness: [[0.54773694 0.45226306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.39286188158029]
Predicted rank: [0], ambiguousness: [[0.8262025 0.1737975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 103.86320836712508]
Predicted rank: [0], ambiguousness: [[0.75001645 0.24998355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.78305693224411]
Predicted rank: [0], ambiguousness: [[0.78075385 0.21924618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.58210092831126]
Predicted rank: [0], ambiguousness: [[0.52897596 0.47102407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.42486615328716]
Predicted rank: [0], ambiguousness: [[0.54621303 0.45378697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.73664620021003]
Predicted rank: [0], ambiguousness: [[0.8500575  0.14994249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.18397712074614]
Predicted rank: [0], ambiguousness: [[0.766304   0.23369601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.04612627827173]
Predicted rank: [0], ambiguousness: [[0.8191155 0.1808845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.00102870551325]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.49083076547745]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.4112722697349]
Predicted rank: [0], ambiguousness: [[0.6503025  0.34969744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.4997766537534]
Predicted rank: [0], ambiguousness: [[0.75888216 0.24111786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.18088787352576]
Predicted rank: [0], ambiguousness: [[0.78771013 0.21228985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.32867918349606]
Predicted rank: [0], ambiguousness: [[0.73697925 0.26302075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.42207585934432]
Predicted rank: [0], ambiguousness: [[0.7395209  0.26047906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.84568772622438]
Predicted rank: [0], ambiguousness: [[0.6271434  0.37285665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.37414290456358]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.36472692046696]
Predicted rank: [0], ambiguousness: [[0.7897773  0.21022272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.1007591371708]
Predicted rank: [0], ambiguousness: [[0.7849164  0.21508363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.2493845560162]
Predicted rank: [0], ambiguousness: [[0.74261755 0.25738245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.34312667699166]
Predicted rank: [0], ambiguousness: [[0.7373564 0.2626436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.76601418645005]
Predicted rank: [0], ambiguousness: [[0.63655245 0.36344758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.29930642405256]
Predicted rank: [0], ambiguousness: [[0.77247566 0.22752436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.89983987855243]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.2813279083759]
Predicted rank: [0], ambiguousness: [[0.8500265  0.14997351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.41620003848698]
Predicted rank: [0], ambiguousness: [[0.8609567  0.13904329]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.76873157028464]
Predicted rank: [0], ambiguousness: [[0.7630183 0.2369817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.93726825816967]
Predicted rank: [0], ambiguousness: [[0.76683307 0.23316695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.1013108836394]
Predicted rank: [0], ambiguousness: [[0.8030724  0.19692762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.4895126588985]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23225948319026]
Predicted rank: [0], ambiguousness: [[0.7349758  0.26502416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.63117879942018]
Predicted rank: [0], ambiguousness: [[0.7052765  0.29472348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.69452685562618]
Predicted rank: [0], ambiguousness: [[0.7002782  0.29972178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.72231776988244]
Predicted rank: [0], ambiguousness: [[0.86257386 0.13742614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.32699317622453]
Predicted rank: [0], ambiguousness: [[0.79031444 0.20968555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.06591404501233]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.21453946385773]
Predicted rank: [0], ambiguousness: [[0.74270093 0.25729907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.30828158483318]
Predicted rank: [0], ambiguousness: [[0.7454585  0.25454152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.7311690942916]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.11185846703411]
Predicted rank: [0], ambiguousness: [[0.7860427  0.21395732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.743934089059]
Predicted rank: [0], ambiguousness: [[0.7849164  0.21508363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.14472349930861]
Predicted rank: [0], ambiguousness: [[0.8591224  0.14087763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.28236356066893]
Predicted rank: [0], ambiguousness: [[0.8752057  0.12479432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.63017577369592]
Predicted rank: [0], ambiguousness: [[0.7933912  0.20660876]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.85839276660792]
Predicted rank: [0], ambiguousness: [[0.77267957 0.22732045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.02322412831808]
Predicted rank: [0], ambiguousness: [[0.80440855 0.19559145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.41055425065629]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.15496271925898]
Predicted rank: [0], ambiguousness: [[0.7432012 0.2567988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.55309477871799]
Predicted rank: [0], ambiguousness: [[0.723646 0.276354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.61677759451622]
Predicted rank: [0], ambiguousness: [[0.713853 0.286147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64468092184781]
Predicted rank: [0], ambiguousness: [[0.8583207  0.14167926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.27315619900092]
Predicted rank: [0], ambiguousness: [[0.7975496 0.2024504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.55864324158311]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.07080737023963]
Predicted rank: [0], ambiguousness: [[0.8471007  0.15289934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.21496327733135]
Predicted rank: [0], ambiguousness: [[0.861512 0.138488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.55547741376135]
Predicted rank: [0], ambiguousness: [[0.7662349  0.23376514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.53134471359262]
Predicted rank: [0], ambiguousness: [[0.6954826  0.30451742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.79616672647956]
Predicted rank: [0], ambiguousness: [[0.7855705  0.21442947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.07994032720401]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.15931262783391]
Predicted rank: [0], ambiguousness: [[0.8527322  0.14726785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.48082883468228]
Predicted rank: [0], ambiguousness: [[0.83792895 0.16207105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.58537077206277]
Predicted rank: [0], ambiguousness: [[0.8468681  0.15313189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.62703210749171]
Predicted rank: [0], ambiguousness: [[0.9221925  0.07780751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.81741885587243]
Predicted rank: [0], ambiguousness: [[0.73669547 0.26330453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.16816200586294]
Predicted rank: [0], ambiguousness: [[0.74897933 0.25102067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.31461671577833]
Predicted rank: [0], ambiguousness: [[0.7932445  0.20675553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.35560357714364]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.41987249272967]
Predicted rank: [0], ambiguousness: [[0.7039002  0.29609975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.49274260285006]
Predicted rank: [0], ambiguousness: [[0.90449923 0.09550075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.52677572570518]
Predicted rank: [0], ambiguousness: [[0.72256446 0.2774355 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.0696640591826]
Predicted rank: [0], ambiguousness: [[0.7865868  0.21341318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.71191232437766]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.11386958972315]
Predicted rank: [0], ambiguousness: [[0.8595139  0.14048614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.25163379580854]
Predicted rank: [0], ambiguousness: [[0.880045   0.11995502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.59925130270398]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.83047934727756]
Predicted rank: [0], ambiguousness: [[0.7727562  0.22724378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.99531023539089]
Predicted rank: [0], ambiguousness: [[0.81097245 0.18902753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.38264086615857]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.12704837935891]
Predicted rank: [0], ambiguousness: [[0.7637799  0.23622009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.5251808984146]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.58886351347499]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.61676677245798]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.0675566985544]
Predicted rank: [0], ambiguousness: [[0.78243923 0.21756074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.31383958624329]
Predicted rank: [0], ambiguousness: [[0.7833831  0.21661691]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.88231568599875]
Predicted rank: [0], ambiguousness: [[0.85053104 0.14946897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.03158454562276]
Predicted rank: [0], ambiguousness: [[0.8705646  0.12943539]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.36438720100205]
Predicted rank: [0], ambiguousness: [[0.7886628  0.21133724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.37118093441447]
Predicted rank: [0], ambiguousness: [[0.70052683 0.29947317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.64418228780944]
Predicted rank: [0], ambiguousness: [[0.78547144 0.21452858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.92061480809116]
Predicted rank: [0], ambiguousness: [[0.7848198  0.21518023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.02666525995855]
Predicted rank: [0], ambiguousness: [[0.870868   0.12913196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.34303361080791]
Predicted rank: [0], ambiguousness: [[0.85407555 0.14592445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.45033986460814]
Predicted rank: [0], ambiguousness: [[0.868253   0.13174699]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.49289869658577]
Predicted rank: [0], ambiguousness: [[0.92736495 0.07263503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.74386629300528]
Predicted rank: [0], ambiguousness: [[0.7365813  0.26341867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.09361311962013]
Predicted rank: [0], ambiguousness: [[0.7639005  0.23609945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.24094273602364]
Predicted rank: [0], ambiguousness: [[0.8023559  0.19764414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.28210156797019]
Predicted rank: [0], ambiguousness: [[0.9200301  0.07996988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.34697849884287]
Predicted rank: [0], ambiguousness: [[0.7224439  0.27755612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.42011689325224]
Predicted rank: [0], ambiguousness: [[0.90323573 0.09676427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.45443874953656]
Predicted rank: [0], ambiguousness: [[0.7213583  0.27864167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.51842547853614]
Predicted rank: [0], ambiguousness: [[0.7846534  0.21534657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.04978259087986]
Predicted rank: [0], ambiguousness: [[0.8952434  0.10475662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.19426410186841]
Predicted rank: [0], ambiguousness: [[0.87244374 0.12755628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.5343805802482]
Predicted rank: [0], ambiguousness: [[0.7934518  0.20654824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.13615825259316]
Predicted rank: [0], ambiguousness: [[0.6970009  0.30299908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.45211604232043]
Predicted rank: [0], ambiguousness: [[0.7867774  0.21322261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.70778074165833]
Predicted rank: [0], ambiguousness: [[0.77731514 0.22268483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.9485542316944]
Predicted rank: [0], ambiguousness: [[0.851119 0.148881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.25686926907596]
Predicted rank: [0], ambiguousness: [[0.8361848 0.1638152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.37106594231739]
Predicted rank: [0], ambiguousness: [[0.8487555  0.15124454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.41567994001144]
Predicted rank: [0], ambiguousness: [[0.92416775 0.07583225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.3671786917127]
Predicted rank: [0], ambiguousness: [[0.6618179 0.3381821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.59552949030237]
Predicted rank: [0], ambiguousness: [[0.67605895 0.32394105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.85202524983015]
Predicted rank: [0], ambiguousness: [[0.7763628  0.22363722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.9190655992924]
Predicted rank: [0], ambiguousness: [[0.9237495  0.07625052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.21362788869789]
Predicted rank: [0], ambiguousness: [[0.8421434  0.15785657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.32124167066928]
Predicted rank: [0], ambiguousness: [[0.94943243 0.05056754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.39123641729327]
Predicted rank: [0], ambiguousness: [[0.8614322  0.13856782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.90556870809107]
Predicted rank: [0], ambiguousness: [[0.7188379  0.28116208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.01378809305683]
Predicted rank: [0], ambiguousness: [[0.9224458  0.07755426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.12964154890717]
Predicted rank: [0], ambiguousness: [[0.8302623  0.16973767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.22206560071793]
Predicted rank: [0], ambiguousness: [[0.72324425 0.27675575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.04432847861094]
Predicted rank: [0], ambiguousness: [[0.7711465  0.22885354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.29481225995563]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.86868675000892]
Predicted rank: [0], ambiguousness: [[0.8517341 0.1482659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.01826270741977]
Predicted rank: [0], ambiguousness: [[0.8762384  0.12376162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.35069725348512]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.3651711784583]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.63823574953835]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.91467344125428]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.02094849853337]
Predicted rank: [0], ambiguousness: [[0.88376284 0.11623717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.33734718828492]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.44464868147904]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.48720460898079]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.7384156025462]
Predicted rank: [0], ambiguousness: [[0.7464175  0.25358245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.08821392183593]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.23550078982346]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.27665101588202]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.34149612205755]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.41462126123172]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.44892901678918]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.25764669814123]
Predicted rank: [0], ambiguousness: [[0.7817757  0.21822429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.85866640696585]
Predicted rank: [0], ambiguousness: [[0.8599076  0.14009239]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.0083193054003]
Predicted rank: [0], ambiguousness: [[0.85999537 0.14000462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.3407181039878]
Predicted rank: [0], ambiguousness: [[0.7752801  0.22471988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.88903162930433]
Predicted rank: [0], ambiguousness: [[0.68982065 0.31017935]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.22622723031506]
Predicted rank: [0], ambiguousness: [[0.7768346  0.22316542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.46766846831724]
Predicted rank: [0], ambiguousness: [[0.7761642  0.22383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.77740654636223]
Predicted rank: [0], ambiguousness: [[0.85755605 0.14244395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.0776568327226]
Predicted rank: [0], ambiguousness: [[0.8393518  0.16064824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.19683008824437]
Predicted rank: [0], ambiguousness: [[0.8580877  0.14191227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.24303611766223]
Predicted rank: [0], ambiguousness: [[0.9223006  0.07769941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.22274744202818]
Predicted rank: [0], ambiguousness: [[0.6486502  0.35134977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.44270446383427]
Predicted rank: [0], ambiguousness: [[0.681141   0.31885895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.70796970885291]
Predicted rank: [0], ambiguousness: [[0.7761514  0.22384855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.77680529410031]
Predicted rank: [0], ambiguousness: [[0.9162328  0.08376717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.09034784194714]
Predicted rank: [0], ambiguousness: [[0.8609612  0.13903882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.20011280706325]
Predicted rank: [0], ambiguousness: [[0.9478725  0.05212746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.27243818251941]
Predicted rank: [0], ambiguousness: [[0.8675633 0.1324367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.84596779339573]
Predicted rank: [0], ambiguousness: [[0.7185919  0.28140807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.95465294377085]
Predicted rank: [0], ambiguousness: [[0.9171168  0.08288319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.07130373393034]
Predicted rank: [0], ambiguousness: [[0.8210933 0.1789067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.16445131695596]
Predicted rank: [0], ambiguousness: [[0.717295 0.282705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.1025574263327]
Predicted rank: [0], ambiguousness: [[0.71385205 0.28614798]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.42494049059108]
Predicted rank: [0], ambiguousness: [[0.78349894 0.21650104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.67814094296179]
Predicted rank: [0], ambiguousness: [[0.77393305 0.22606696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.94077261046164]
Predicted rank: [0], ambiguousness: [[0.8796181  0.12038191]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.24874531448945]
Predicted rank: [0], ambiguousness: [[0.88491267 0.11508735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.3632263856977]
Predicted rank: [0], ambiguousness: [[0.85765874 0.14234124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.40794757758128]
Predicted rank: [0], ambiguousness: [[0.9334067 0.0665933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.9659414819834]
Predicted rank: [0], ambiguousness: [[0.6587341  0.34126592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.15861138966427]
Predicted rank: [0], ambiguousness: [[0.6730408 0.3269592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.47508153776266]
Predicted rank: [0], ambiguousness: [[0.77396667 0.22603332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.55131987655997]
Predicted rank: [0], ambiguousness: [[0.92277545 0.07722455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.9904160251178]
Predicted rank: [0], ambiguousness: [[0.83722806 0.16277196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.10579043549033]
Predicted rank: [0], ambiguousness: [[0.9476502 0.0523498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.18455166681315]
Predicted rank: [0], ambiguousness: [[0.86034214 0.13965783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.23606135609478]
Predicted rank: [0], ambiguousness: [[0.63652647 0.3634735 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.40850680019635]
Predicted rank: [0], ambiguousness: [[0.8906761  0.10932392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.62718696020117]
Predicted rank: [0], ambiguousness: [[0.8283161  0.17168394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.98215894233635]
Predicted rank: [0], ambiguousness: [[0.83994853 0.16005145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.67997174495787]
Predicted rank: [0], ambiguousness: [[0.7222621  0.27773792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.36490299980022]
Predicted rank: [0], ambiguousness: [[0.78368104 0.21631898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.9508786161917]
Predicted rank: [0], ambiguousness: [[0.84362143 0.15637858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.09882567182618]
Predicted rank: [0], ambiguousness: [[0.856366   0.14363402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.43411732466475]
Predicted rank: [0], ambiguousness: [[0.78827673 0.21172328]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.00194550835643]
Predicted rank: [0], ambiguousness: [[0.6803534 0.3196466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.33318426243511]
Predicted rank: [0], ambiguousness: [[0.7998821  0.20011787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.57935109614911]
Predicted rank: [0], ambiguousness: [[0.8093653  0.19063476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.87012222424075]
Predicted rank: [0], ambiguousness: [[0.8766341  0.12336589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.17349631911395]
Predicted rank: [0], ambiguousness: [[0.8475548  0.15244523]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.29098585645816]
Predicted rank: [0], ambiguousness: [[0.88108414 0.11891586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.33664425776172]
Predicted rank: [0], ambiguousness: [[0.9303975  0.06960249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.31565431399648]
Predicted rank: [0], ambiguousness: [[0.6794739  0.32052612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.53942341795752]
Predicted rank: [0], ambiguousness: [[0.6944821 0.3055179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.80110057258639]
Predicted rank: [0], ambiguousness: [[0.81572425 0.18427572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.86917249092514]
Predicted rank: [0], ambiguousness: [[0.92771065 0.07228934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.1756370227243]
Predicted rank: [0], ambiguousness: [[0.89042753 0.10957249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.2844331951137]
Predicted rank: [0], ambiguousness: [[0.9488282  0.05117179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.35573141204958]
Predicted rank: [0], ambiguousness: [[0.87379915 0.12620085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.90826563930668]
Predicted rank: [0], ambiguousness: [[0.7652629 0.2347371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.01651985855113]
Predicted rank: [0], ambiguousness: [[0.9185879  0.08141207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.13245711854172]
Predicted rank: [0], ambiguousness: [[0.8348214  0.16517861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.22481601074261]
Predicted rank: [0], ambiguousness: [[0.749525 0.250475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.94511641697014]
Predicted rank: [0], ambiguousness: [[0.6822171 0.3177829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.28510520963476]
Predicted rank: [0], ambiguousness: [[0.7749596  0.22504036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.5280814251609]
Predicted rank: [0], ambiguousness: [[0.77290076 0.22709924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.84891485015665]
Predicted rank: [0], ambiguousness: [[0.86522514 0.13477486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.15203021680759]
Predicted rank: [0], ambiguousness: [[0.8542139 0.1457861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.26975047895115]
Predicted rank: [0], ambiguousness: [[0.8516582  0.14834179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.31550990704137]
Predicted rank: [0], ambiguousness: [[0.92711955 0.07288044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.83452309103978]
Predicted rank: [0], ambiguousness: [[0.62864965 0.37135035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.01631732298523]
Predicted rank: [0], ambiguousness: [[0.6717454  0.32825455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.3487994537862]
Predicted rank: [0], ambiguousness: [[0.7686044  0.23139563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.42772164460533]
Predicted rank: [0], ambiguousness: [[0.9093353  0.09066466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.90600402024916]
Predicted rank: [0], ambiguousness: [[0.8477904  0.15220958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.02387570220407]
Predicted rank: [0], ambiguousness: [[0.93996155 0.06003844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.10536189330195]
Predicted rank: [0], ambiguousness: [[0.8528744  0.14712562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.17344634108443]
Predicted rank: [0], ambiguousness: [[0.62946457 0.37053543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.3485071605723]
Predicted rank: [0], ambiguousness: [[0.8757171  0.12428292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.57199301655953]
Predicted rank: [0], ambiguousness: [[0.8080035 0.1919965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.93985888501012]
Predicted rank: [0], ambiguousness: [[0.8417684  0.15823165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.67872021139527]
Predicted rank: [0], ambiguousness: [[0.6940368  0.30596322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.00384556962717]
Predicted rank: [0], ambiguousness: [[0.6404589  0.35954112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.19670574005502]
Predicted rank: [0], ambiguousness: [[0.6939125  0.30608752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.51670805915478]
Predicted rank: [0], ambiguousness: [[0.77325916 0.2267408 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.59312876442439]
Predicted rank: [0], ambiguousness: [[0.91722876 0.08277123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.04504137255725]
Predicted rank: [0], ambiguousness: [[0.86934483 0.13065514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.15986157420507]
Predicted rank: [0], ambiguousness: [[0.9585805  0.04141948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.23797087946761]
Predicted rank: [0], ambiguousness: [[0.86500597 0.134994  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.83348446286605]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.03219074322669]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.30655525373501]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.81297998736292]
Predicted rank: [0], ambiguousness: [[0.8274189  0.17258108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.99406558835625]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.4907838378692]
Predicted rank: [0], ambiguousness: [[0.63255745 0.36744255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.41101937675649]
Predicted rank: [0], ambiguousness: [[0.6265874  0.37341264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.49952376077499]
Predicted rank: [0], ambiguousness: [[0.7406883  0.25931165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.18063498054735]
Predicted rank: [0], ambiguousness: [[0.770018   0.22998205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.32842629051767]
Predicted rank: [0], ambiguousness: [[0.7165803 0.2834197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.42182296636591]
Predicted rank: [0], ambiguousness: [[0.71924406 0.28075594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.84543483324597]
Predicted rank: [0], ambiguousness: [[0.6028168  0.39718315]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.37313982217302]
Predicted rank: [0], ambiguousness: [[0.6082943 0.3917057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.3637238380764]
Predicted rank: [0], ambiguousness: [[0.7412802  0.25871983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.09975605478023]
Predicted rank: [0], ambiguousness: [[0.7636907 0.2363093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.24838147362563]
Predicted rank: [0], ambiguousness: [[0.71547174 0.2845283 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.34212359460108]
Predicted rank: [0], ambiguousness: [[0.7131524 0.2868476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.76501110405948]
Predicted rank: [0], ambiguousness: [[0.6079975  0.39200252]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.298303341662]
Predicted rank: [0], ambiguousness: [[0.72361934 0.27638063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.89883679616187]
Predicted rank: [0], ambiguousness: [[0.7631398  0.23686022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.28032482598533]
Predicted rank: [0], ambiguousness: [[0.8152533  0.18474667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.41519695609642]
Predicted rank: [0], ambiguousness: [[0.82684094 0.17315905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.76772848789409]
Predicted rank: [0], ambiguousness: [[0.71061    0.28939003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.9362651757791]
Predicted rank: [0], ambiguousness: [[0.74135166 0.25864834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.10030780124885]
Predicted rank: [0], ambiguousness: [[0.7831434  0.21685661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.48850957650794]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23125640079968]
Predicted rank: [0], ambiguousness: [[0.7106386  0.28936142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.6301757170296]
Predicted rank: [0], ambiguousness: [[0.67591107 0.32408893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.6935237732356]
Predicted rank: [0], ambiguousness: [[0.6741673  0.32583275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.72131468749187]
Predicted rank: [0], ambiguousness: [[0.85192424 0.14807574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.32370467102805]
Predicted rank: [0], ambiguousness: [[0.7528335  0.24716654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.0626266340497]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.2112520528951]
Predicted rank: [0], ambiguousness: [[0.7148074  0.28519264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.30499417387057]
Predicted rank: [0], ambiguousness: [[0.7177502 0.2822498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.72788168332897]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10862205726085]
Predicted rank: [0], ambiguousness: [[0.75012666 0.24987334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.74069767928572]
Predicted rank: [0], ambiguousness: [[0.7601211  0.23987886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.14148708953535]
Predicted rank: [0], ambiguousness: [[0.8363906  0.16360936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.27912715089568]
Predicted rank: [0], ambiguousness: [[0.85142803 0.14857198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.62693936392265]
Predicted rank: [0], ambiguousness: [[0.7562906 0.2437094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.85515635683466]
Predicted rank: [0], ambiguousness: [[0.74692845 0.25307155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.01998771854481]
Predicted rank: [0], ambiguousness: [[0.781234   0.21876594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.40731784088302]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.1517263094857]
Predicted rank: [0], ambiguousness: [[0.71534103 0.28465897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.54985836894474]
Predicted rank: [0], ambiguousness: [[0.6945362  0.30546382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.61354118474296]
Predicted rank: [0], ambiguousness: [[0.6841619  0.31583807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64144451207454]
Predicted rank: [0], ambiguousness: [[0.8402655  0.15973446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.26991978922766]
Predicted rank: [0], ambiguousness: [[0.7629827  0.23701726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.55540683180985]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.06757096046637]
Predicted rank: [0], ambiguousness: [[0.819075   0.18092501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.21172686755808]
Predicted rank: [0], ambiguousness: [[0.8356153  0.16438475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.55224100398809]
Predicted rank: [0], ambiguousness: [[0.7281437  0.27185628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.52810830381935]
Predicted rank: [0], ambiguousness: [[0.66478044 0.33521956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.7929303167063]
Predicted rank: [0], ambiguousness: [[0.7608277  0.23917228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.07670391743076]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.15607621806066]
Predicted rank: [0], ambiguousness: [[0.8291743 0.1708257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.47759242490903]
Predicted rank: [0], ambiguousness: [[0.8125237  0.18747625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.58213436228951]
Predicted rank: [0], ambiguousness: [[0.8188089  0.18119109]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.62379569771846]
Predicted rank: [0], ambiguousness: [[0.90546477 0.09453525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.81418244609917]
Predicted rank: [0], ambiguousness: [[0.7084064 0.2915936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.16492559608969]
Predicted rank: [0], ambiguousness: [[0.7215111 0.2784889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.31138030600508]
Predicted rank: [0], ambiguousness: [[0.7691269  0.23087311]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.35236716737037]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.41663608295642]
Predicted rank: [0], ambiguousness: [[0.6736486  0.32635143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.48950619307679]
Predicted rank: [0], ambiguousness: [[0.8915856 0.1084144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.52353931593191]
Predicted rank: [0], ambiguousness: [[0.69338906 0.3066109 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.05899861321616]
Predicted rank: [0], ambiguousness: [[0.7507332  0.24926682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.70157448846419]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.10357839733919]
Predicted rank: [0], ambiguousness: [[0.8368333  0.16316669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.24134800579904]
Predicted rank: [0], ambiguousness: [[0.85703874 0.14296126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.58895681635227]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.8203112646762]
Predicted rank: [0], ambiguousness: [[0.74701095 0.25298905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.98514262638636]
Predicted rank: [0], ambiguousness: [[0.78837115 0.21162887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.37247274872456]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.11688121732723]
Predicted rank: [0], ambiguousness: [[0.73736334 0.26263663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.51501327678628]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.5786960925845]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.60659941991608]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.05840483282552]
Predicted rank: [0], ambiguousness: [[0.74729717 0.25270286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.30465838448663]
Predicted rank: [0], ambiguousness: [[0.7601211  0.23987886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.87321563603786]
Predicted rank: [0], ambiguousness: [[0.8239123  0.17608766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.0224911943545]
Predicted rank: [0], ambiguousness: [[0.8468713 0.1531287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.35528419013144]
Predicted rank: [0], ambiguousness: [[0.7542101  0.24578989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.3621351782894]
Predicted rank: [0], ambiguousness: [[0.6720916 0.3279084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.63514627109294]
Predicted rank: [0], ambiguousness: [[0.7623657  0.23763429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.9115706723149]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.01765319007384]
Predicted rank: [0], ambiguousness: [[0.8504973  0.14950268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.33401612720296]
Predicted rank: [0], ambiguousness: [[0.8315681  0.16843188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.44132540468956]
Predicted rank: [0], ambiguousness: [[0.8442123 0.1557877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.48388520142413]
Predicted rank: [0], ambiguousness: [[0.9121454  0.08785462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.73492257958208]
Predicted rank: [0], ambiguousness: [[0.710153 0.289847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.08466882509273]
Predicted rank: [0], ambiguousness: [[0.7392428 0.2607572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.23199896837107]
Predicted rank: [0], ambiguousness: [[0.7805606  0.21943939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.2731579036326]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.33803516679026]
Predicted rank: [0], ambiguousness: [[0.6951842  0.30481583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.41117372520824]
Predicted rank: [0], ambiguousness: [[0.8910545  0.10894551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.44549575490954]
Predicted rank: [0], ambiguousness: [[0.6940371 0.3059629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.50962381892762]
Predicted rank: [0], ambiguousness: [[0.75852454 0.24147545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.04098093127132]
Predicted rank: [0], ambiguousness: [[0.87363935 0.12636064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.18546244225989]
Predicted rank: [0], ambiguousness: [[0.8469416 0.1530584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.52557892063967]
Predicted rank: [0], ambiguousness: [[0.75656354 0.24343646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.12735659298465]
Predicted rank: [0], ambiguousness: [[0.66478044 0.33521956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.4433143827119]
Predicted rank: [0], ambiguousness: [[0.7608277  0.23917228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.69897908204979]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.93975257208587]
Predicted rank: [0], ambiguousness: [[0.82222223 0.17777778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.24806760946743]
Predicted rank: [0], ambiguousness: [[0.80505335 0.19494663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.36226428270885]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.40687828040294]
Predicted rank: [0], ambiguousness: [[0.9079153  0.09208473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.35837703210417]
Predicted rank: [0], ambiguousness: [[0.62785363 0.37214634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.58672783069385]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.84322359022164]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.91026393968389]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.20482622908938]
Predicted rank: [0], ambiguousness: [[0.8157593  0.18424067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.31244001106076]
Predicted rank: [0], ambiguousness: [[0.93969655 0.06030347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.38243475768475]
Predicted rank: [0], ambiguousness: [[0.8341471  0.16585293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.89676704848256]
Predicted rank: [0], ambiguousness: [[0.6878997  0.31210026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.00498643344832]
Predicted rank: [0], ambiguousness: [[0.9111424  0.08885758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.12083988929865]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.2132639411094]
Predicted rank: [0], ambiguousness: [[0.69258356 0.30741644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.00272881379453]
Predicted rank: [0], ambiguousness: [[0.73357743 0.26642257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.25256151589826]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.83020873627856]
Predicted rank: [0], ambiguousness: [[0.8243817  0.17561832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.98009398655016]
Predicted rank: [0], ambiguousness: [[0.85262436 0.14737566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.31207713578638]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.32955651814314]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.60303111907109]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.87910925697025]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.98672001679998]
Predicted rank: [0], ambiguousness: [[0.8643794 0.1356206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.30286952767216]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.41030483202606]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.45290402126031]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.70700939153411]
Predicted rank: [0], ambiguousness: [[0.71877426 0.28122574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.05675621814898]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.20408583455247]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.24524466649902]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.3101215973717]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.38325999178107]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.4175818480654]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.22387144699789]
Predicted rank: [0], ambiguousness: [[0.75790626 0.24209374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.82809089660532]
Predicted rank: [0], ambiguousness: [[0.83465344 0.16534656]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.97797577870175]
Predicted rank: [0], ambiguousness: [[0.834754   0.16524601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.31002637353174]
Predicted rank: [0], ambiguousness: [[0.7393938  0.26060623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.85620928039148]
Predicted rank: [0], ambiguousness: [[0.67009205 0.32990795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.19434880093169]
Predicted rank: [0], ambiguousness: [[0.7607207  0.23927933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.4351544999095]
Predicted rank: [0], ambiguousness: [[0.7600168  0.23998323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.74794982044041]
Predicted rank: [0], ambiguousness: [[0.83804023 0.16195977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.04783691744198]
Predicted rank: [0], ambiguousness: [[0.8178716  0.18212846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.16723275463247]
Predicted rank: [0], ambiguousness: [[0.83863103 0.16136894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.21350991149598]
Predicted rank: [0], ambiguousness: [[0.91073185 0.08926813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.19448644150256]
Predicted rank: [0], ambiguousness: [[0.6277162 0.3722838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.41406812870078]
Predicted rank: [0], ambiguousness: [[0.66113156 0.33886844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.67972467451989]
Predicted rank: [0], ambiguousness: [[0.76000345 0.23999658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.74863996727501]
Predicted rank: [0], ambiguousness: [[0.9090053  0.09099472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.06302427695152]
Predicted rank: [0], ambiguousness: [[0.8451972 0.1548028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.1728845195066]
Predicted rank: [0], ambiguousness: [[0.94129044 0.05870956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.24531315614013]
Predicted rank: [0], ambiguousness: [[0.8491774  0.15082256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.82137311149384]
Predicted rank: [0], ambiguousness: [[0.69989717 0.30010286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.93008227031191]
Predicted rank: [0], ambiguousness: [[0.90995806 0.09004195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.04677381180224]
Predicted rank: [0], ambiguousness: [[0.8073827  0.19261728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.13996112816389]
Predicted rank: [0], ambiguousness: [[0.6985502 0.3014498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.07967504701631]
Predicted rank: [0], ambiguousness: [[0.68712413 0.3128759 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.40223469857038]
Predicted rank: [0], ambiguousness: [[0.76109934 0.23890069]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.65530441872133]
Predicted rank: [0], ambiguousness: [[0.7508584 0.2491416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.91849752721915]
Predicted rank: [0], ambiguousness: [[0.8582244 0.1417756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.22638783680736]
Predicted rank: [0], ambiguousness: [[0.8643147 0.1356853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.34091442011726]
Predicted rank: [0], ambiguousness: [[0.833103   0.16689701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.38565044536941]
Predicted rank: [0], ambiguousness: [[0.9207104  0.07928964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.94313032444279]
Predicted rank: [0], ambiguousness: [[0.6295296 0.3704704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.13564833009852]
Predicted rank: [0], ambiguousness: [[0.64439976 0.35560024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.45230331230786]
Predicted rank: [0], ambiguousness: [[0.75089437 0.24910562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.5285755488608]
Predicted rank: [0], ambiguousness: [[0.913189 0.086811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.96807834393766]
Predicted rank: [0], ambiguousness: [[0.8099288 0.1900712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.08348969708213]
Predicted rank: [0], ambiguousness: [[0.9374876  0.06251241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.16229071615318]
Predicted rank: [0], ambiguousness: [[0.8361609  0.16383913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.21375150739098]
Predicted rank: [0], ambiguousness: [[0.60655665 0.39344335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.38624602750349]
Predicted rank: [0], ambiguousness: [[0.87763333 0.12236668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.60501063407347]
Predicted rank: [0], ambiguousness: [[0.80942535 0.19057462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.96017745967984]
Predicted rank: [0], ambiguousness: [[0.81685567 0.18314433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.65856901378612]
Predicted rank: [0], ambiguousness: [[0.69598514 0.30401486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.1892552866507]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.80435654146899]
Predicted rank: [0], ambiguousness: [[0.82546633 0.17453367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.9546227841087]
Predicted rank: [0], ambiguousness: [[0.8255713  0.17442869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.28621411403607]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.83487679686209]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.1750035285852]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.4147874439408]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.73412541081748]
Predicted rank: [0], ambiguousness: [[0.85366225 0.14633772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.03360987344193]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.15332562383874]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.19970389004816]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.18846063652211]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.40803872736966]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.67377561061244]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.74269738213283]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.0573520176535]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.16720653931492]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.2396324279176]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.81601595193223]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.92470110230735]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.04135189246685]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.13449947549245]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.78758515453308]
Predicted rank: [0], ambiguousness: [[0.6613274  0.33867258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.13676137755857]
Predicted rank: [0], ambiguousness: [[0.75800395 0.24199608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.37346491572387]
Predicted rank: [0], ambiguousness: [[0.74767435 0.25232568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.72401614975115]
Predicted rank: [0], ambiguousness: [[0.8396682  0.16033177]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.0234800270392]
Predicted rank: [0], ambiguousness: [[0.8206365  0.17936347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.14326441757501]
Predicted rank: [0], ambiguousness: [[0.8176179  0.18238209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.18969627862407]
Predicted rank: [0], ambiguousness: [[0.9121072  0.08789279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.68721201516112]
Predicted rank: [0], ambiguousness: [[0.6158345 0.3841655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.86210308416497]
Predicted rank: [0], ambiguousness: [[0.6497212 0.3502788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.2033176450713]
Predicted rank: [0], ambiguousness: [[0.75066674 0.24933326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.28380189837307]
Predicted rank: [0], ambiguousness: [[0.90473866 0.09526132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.78187771155089]
Predicted rank: [0], ambiguousness: [[0.82611775 0.17388228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.90138443061272]
Predicted rank: [0], ambiguousness: [[0.9331173 0.0668827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.98463280521959]
Predicted rank: [0], ambiguousness: [[0.8378153  0.16218475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.0530406150666]
Predicted rank: [0], ambiguousness: [[0.60626626 0.39373377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.230195477118]
Predicted rank: [0], ambiguousness: [[0.8696603 0.1303397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.45734202648747]
Predicted rank: [0], ambiguousness: [[0.7994027  0.20059729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.83397089903015]
Predicted rank: [0], ambiguousness: [[0.8294483  0.17055172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.59837472370509]
Predicted rank: [0], ambiguousness: [[0.6823378  0.31766218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.90729336102507]
Predicted rank: [0], ambiguousness: [[0.617336   0.38266402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.09640190913214]
Predicted rank: [0], ambiguousness: [[0.66276085 0.33723918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.42081384361207]
Predicted rank: [0], ambiguousness: [[0.7472415 0.2527585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.49804403059744]
Predicted rank: [0], ambiguousness: [[0.90938723 0.0906128 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.95950994685174]
Predicted rank: [0], ambiguousness: [[0.8448756  0.15512444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.07521472257979]
Predicted rank: [0], ambiguousness: [[0.95190275 0.04809725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.15426582328655]
Predicted rank: [0], ambiguousness: [[0.8456707  0.15432927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.7326989296246]
Predicted rank: [0], ambiguousness: [[0.603271   0.39672902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.93350238196373]
Predicted rank: [0], ambiguousness: [[0.8761492  0.12385081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.21176777691069]
Predicted rank: [0], ambiguousness: [[0.8072956  0.19270436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.72782398695118]
Predicted rank: [0], ambiguousness: [[0.8073884  0.19261155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.90665023635017]
Predicted rank: [0], ambiguousness: [[0.61060756 0.38939244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.9023768185433]
Predicted rank: [0], ambiguousness: [[0.63183945 0.36816055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.24529698994127]
Predicted rank: [0], ambiguousness: [[0.76005304 0.23994693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.48686188420895]
Predicted rank: [0], ambiguousness: [[0.7691419 0.2308581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.81735391377443]
Predicted rank: [0], ambiguousness: [[0.82532525 0.17467473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.11997131007107]
Predicted rank: [0], ambiguousness: [[0.8172146 0.1827854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.23804874146383]
Predicted rank: [0], ambiguousness: [[0.828707   0.17129305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.28392451517064]
Predicted rank: [0], ambiguousness: [[0.9147617  0.08523826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.80271997410114]
Predicted rank: [0], ambiguousness: [[0.6479746  0.35202536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.98332018094823]
Predicted rank: [0], ambiguousness: [[0.6637279  0.33627215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.3177486576934]
Predicted rank: [0], ambiguousness: [[0.7935465  0.20645352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.39697788433416]
Predicted rank: [0], ambiguousness: [[0.91764987 0.08235011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.88016345338369]
Predicted rank: [0], ambiguousness: [[0.86178297 0.13821705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.99829156318691]
Predicted rank: [0], ambiguousness: [[0.93432474 0.06567526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.08005485434109]
Predicted rank: [0], ambiguousness: [[0.8452019 0.1547981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.15313957058481]
Predicted rank: [0], ambiguousness: [[0.6628252 0.3371748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.32833184715707]
Predicted rank: [0], ambiguousness: [[0.8718561  0.12814394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.55207442590768]
Predicted rank: [0], ambiguousness: [[0.81441903 0.185581  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.92063876637489]
Predicted rank: [0], ambiguousness: [[0.84627694 0.15372308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.66127024982643]
Predicted rank: [0], ambiguousness: [[0.70286    0.29713997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.74289277292516]
Predicted rank: [0], ambiguousness: [[0.6132803 0.3867197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.91901812447657]
Predicted rank: [0], ambiguousness: [[0.63857555 0.36142442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.26404240245161]
Predicted rank: [0], ambiguousness: [[0.74612725 0.25387275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.3445421080474]
Predicted rank: [0], ambiguousness: [[0.9075543  0.09244569]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.85828785262828]
Predicted rank: [0], ambiguousness: [[0.8333114  0.16668864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.97669738176128]
Predicted rank: [0], ambiguousness: [[0.94278467 0.05721533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.05865651885578]
Predicted rank: [0], ambiguousness: [[0.8332693  0.16673072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.5780053323733]
Predicted rank: [0], ambiguousness: [[0.595973   0.40402696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.7865814889484]
Predicted rank: [0], ambiguousness: [[0.85951596 0.14048402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.08057535072678]
Predicted rank: [0], ambiguousness: [[0.7851412  0.21485879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.64034481092449]
Predicted rank: [0], ambiguousness: [[0.80321443 0.19678554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.8408474965635]
Predicted rank: [0], ambiguousness: [[0.5776702  0.42232978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.76942758590027]
Predicted rank: [0], ambiguousness: [[0.59449136 0.40550864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.97134752679224]
Predicted rank: [0], ambiguousness: [[0.8794656  0.12053443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.2533469471274]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.78330759937299]
Predicted rank: [0], ambiguousness: [[0.8384593  0.16154067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.47618790861378]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.41102565533001]
Predicted rank: [0], ambiguousness: [[0.5791783  0.42082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.49953003934851]
Predicted rank: [0], ambiguousness: [[0.71568954 0.28431043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.1806412591209]
Predicted rank: [0], ambiguousness: [[0.73306113 0.26693887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.3284325690912]
Predicted rank: [0], ambiguousness: [[0.6746645  0.32533553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.42182924493943]
Predicted rank: [0], ambiguousness: [[0.6775449 0.3224551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.8454411118195]
Predicted rank: [0], ambiguousness: [[0.5545354 0.4454646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.37293260800826]
Predicted rank: [0], ambiguousness: [[0.57070327 0.42929676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.36351662136374]
Predicted rank: [0], ambiguousness: [[0.7324672  0.26753286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.09954883806759]
Predicted rank: [0], ambiguousness: [[0.7267396 0.2732604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.24817425691299]
Predicted rank: [0], ambiguousness: [[0.6741974  0.32580262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.34191637788845]
Predicted rank: [0], ambiguousness: [[0.671696 0.328304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.76480388734684]
Predicted rank: [0], ambiguousness: [[0.5607051  0.43929487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.29809612494935]
Predicted rank: [0], ambiguousness: [[0.70328295 0.29671702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.89862957944922]
Predicted rank: [0], ambiguousness: [[0.71750873 0.28249127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.2801176092727]
Predicted rank: [0], ambiguousness: [[0.7956729  0.20432708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.41498973938378]
Predicted rank: [0], ambiguousness: [[0.8121278 0.1878722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.76752127118144]
Predicted rank: [0], ambiguousness: [[0.6920959  0.30790412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.93605795906646]
Predicted rank: [0], ambiguousness: [[0.6932105 0.3067895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.1001005845362]
Predicted rank: [0], ambiguousness: [[0.74005336 0.25994664]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.4883023597953]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23104918408703]
Predicted rank: [0], ambiguousness: [[0.65940726 0.34059274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.62996850031698]
Predicted rank: [0], ambiguousness: [[0.6218034  0.37819657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.69331655652297]
Predicted rank: [0], ambiguousness: [[0.61993206 0.3800679 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.72110747077923]
Predicted rank: [0], ambiguousness: [[0.81419027 0.1858097 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.32273585461108]
Predicted rank: [0], ambiguousness: [[0.7127913  0.28720865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.0616578175921]
Predicted rank: [0], ambiguousness: [[0.7220659 0.2779341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.21028323643749]
Predicted rank: [0], ambiguousness: [[0.66903424 0.33096573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.30402535741294]
Predicted rank: [0], ambiguousness: [[0.67574406 0.32425597]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.72691286687134]
Predicted rank: [0], ambiguousness: [[0.56522214 0.4347779 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10765323825532]
Predicted rank: [0], ambiguousness: [[0.7075247  0.29247528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.73972886028021]
Predicted rank: [0], ambiguousness: [[0.7219783  0.27802172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.14051827052984]
Predicted rank: [0], ambiguousness: [[0.79805756 0.20194243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.27815833189015]
Predicted rank: [0], ambiguousness: [[0.82199895 0.17800102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.62597054491714]
Predicted rank: [0], ambiguousness: [[0.716195   0.28380504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.85418753782915]
Predicted rank: [0], ambiguousness: [[0.70417726 0.29582277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.0190188995393]
Predicted rank: [0], ambiguousness: [[0.7453236 0.2546764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.4063490218775]
Predicted rank: [0], ambiguousness: [[0.723282   0.27671802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.15075749048019]
Predicted rank: [0], ambiguousness: [[0.6731397  0.32686034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.54888954993922]
Predicted rank: [0], ambiguousness: [[0.64666295 0.35333702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.61257236573744]
Predicted rank: [0], ambiguousness: [[0.6392094  0.36079058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64047569306902]
Predicted rank: [0], ambiguousness: [[0.8169213 0.1830787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.26895097022214]
Predicted rank: [0], ambiguousness: [[0.7192414  0.28075865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.55443801280433]
Predicted rank: [0], ambiguousness: [[0.7188452 0.2811548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.06660214146086]
Predicted rank: [0], ambiguousness: [[0.7800079  0.21999212]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.21075804855258]
Predicted rank: [0], ambiguousness: [[0.8017961  0.19820395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.55127218498257]
Predicted rank: [0], ambiguousness: [[0.68023276 0.31976727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.52713948481383]
Predicted rank: [0], ambiguousness: [[0.6123351  0.38766494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.79196149770078]
Predicted rank: [0], ambiguousness: [[0.72024345 0.27975652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.07573509842524]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.15510739905514]
Predicted rank: [0], ambiguousness: [[0.7901525  0.20984752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.47662360590351]
Predicted rank: [0], ambiguousness: [[0.7675608 0.2324392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.58116554328399]
Predicted rank: [0], ambiguousness: [[0.78209466 0.21790533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.62282687871294]
Predicted rank: [0], ambiguousness: [[0.8886117  0.11138833]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.81321362709365]
Predicted rank: [0], ambiguousness: [[0.6628685  0.33713147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.16395677708417]
Predicted rank: [0], ambiguousness: [[0.6731472 0.3268528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.31041148699956]
Predicted rank: [0], ambiguousness: [[0.72905874 0.2709413 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.35139834836487]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.4156672639509]
Predicted rank: [0], ambiguousness: [[0.62508726 0.37491274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.48853737407129]
Predicted rank: [0], ambiguousness: [[0.8670141  0.13298588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.5225704969264]
Predicted rank: [0], ambiguousness: [[0.6466757  0.35332432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.05573038357598]
Predicted rank: [0], ambiguousness: [[0.7243382 0.2756618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.698314810472]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.10031920890897]
Predicted rank: [0], ambiguousness: [[0.81105644 0.18894356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.2380888671232]
Predicted rank: [0], ambiguousness: [[0.8394939  0.16050614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.58569760077569]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81705323742736]
Predicted rank: [0], ambiguousness: [[0.7046565 0.2953435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.98188459913753]
Predicted rank: [0], ambiguousness: [[0.75360864 0.24639134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.36921472147574]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.11362319007841]
Predicted rank: [0], ambiguousness: [[0.6974378  0.30256218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.51175524953744]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.57543806533567]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.60334139266726]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.05519780421815]
Predicted rank: [0], ambiguousness: [[0.7206737 0.2793263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.30145135587928]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.8700086074305]
Predicted rank: [0], ambiguousness: [[0.80069757 0.19930242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.01928416574714]
Predicted rank: [0], ambiguousness: [[0.82832855 0.17167147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.35207716152408]
Predicted rank: [0], ambiguousness: [[0.72804993 0.27195007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.35892814968206]
Predicted rank: [0], ambiguousness: [[0.6235157  0.37648425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.63193924248557]
Predicted rank: [0], ambiguousness: [[0.7248225  0.27517745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.90836364370753]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.0144461614665]
Predicted rank: [0], ambiguousness: [[0.8287115  0.17128846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.33080909859561]
Predicted rank: [0], ambiguousness: [[0.80515313 0.19484688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.4381183760822]
Predicted rank: [0], ambiguousness: [[0.82541394 0.17458604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.48067817281678]
Predicted rank: [0], ambiguousness: [[0.9015678  0.09843218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.73171555097473]
Predicted rank: [0], ambiguousness: [[0.6679537  0.33204624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.08146179648537]
Predicted rank: [0], ambiguousness: [[0.69611686 0.30388314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.22879193976371]
Predicted rank: [0], ambiguousness: [[0.74493027 0.2550697 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.26995087502523]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.3348281381829]
Predicted rank: [0], ambiguousness: [[0.6518739 0.3481261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.4079666966009]
Predicted rank: [0], ambiguousness: [[0.8640368  0.13596323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.4422887263022]
Predicted rank: [0], ambiguousness: [[0.65064573 0.34935427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.50641679032026]
Predicted rank: [0], ambiguousness: [[0.72059697 0.27940303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.03777390266399]
Predicted rank: [0], ambiguousness: [[0.8558333  0.14416668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.18225541365254]
Predicted rank: [0], ambiguousness: [[0.8284057  0.17159432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.52237189203233]
Predicted rank: [0], ambiguousness: [[0.73056436 0.2694356 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.1241495643773]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.44010735410455]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.69577205344245]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.9365455434785]
Predicted rank: [0], ambiguousness: [[0.80139464 0.19860536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.24486058086006]
Predicted rank: [0], ambiguousness: [[0.7800162  0.21998383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.3590572541015]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.40367125179557]
Predicted rank: [0], ambiguousness: [[0.8958555  0.10414454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.35517000349682]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.5835208020865]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.84001656161429]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.90705691107652]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.20161920048201]
Predicted rank: [0], ambiguousness: [[0.7901605  0.20983952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.30923298245341]
Predicted rank: [0], ambiguousness: [[0.9261527 0.0738473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.3792277290774]
Predicted rank: [0], ambiguousness: [[0.81440115 0.18559882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.89356001987522]
Predicted rank: [0], ambiguousness: [[0.64408433 0.3559157 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.00177940484096]
Predicted rank: [0], ambiguousness: [[0.8884829  0.11151709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.1176328606913]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.21005691250207]
Predicted rank: [0], ambiguousness: [[0.6490903  0.35090974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.99163718564512]
Predicted rank: [0], ambiguousness: [[0.7060771 0.2939229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.2415858923548]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.8195434990623]
Predicted rank: [0], ambiguousness: [[0.80121386 0.19878614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.96945015129188]
Predicted rank: [0], ambiguousness: [[0.8346422 0.1653578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.30140435176145]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.31922472260223]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.59271813760974]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.8687814487102]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.97645413450962]
Predicted rank: [0], ambiguousness: [[0.8442461  0.15575391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.2925941230581]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.40003488817028]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.44263580029667]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.69686986430617]
Predicted rank: [0], ambiguousness: [[0.6772597  0.32274032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.04661610981681]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.19394625309515]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.23510518835667]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.29998245151432]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.3731210099323]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.40744303963362]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.2146190843601]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.81895805266696]
Predicted rank: [0], ambiguousness: [[0.8134837  0.18651626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.96885020855288]
Predicted rank: [0], ambiguousness: [[0.8160056  0.18399441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.30089043929428]
Predicted rank: [0], ambiguousness: [[0.7135389  0.28646114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.84701971774345]
Predicted rank: [0], ambiguousness: [[0.6235157  0.37648425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.18519070531373]
Predicted rank: [0], ambiguousness: [[0.7248225  0.27517745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.42597656188747]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.73887425978823]
Predicted rank: [0], ambiguousness: [[0.81958413 0.18041588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.03875078682356]
Predicted rank: [0], ambiguousness: [[0.7950808  0.20491923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.15815348023635]
Predicted rank: [0], ambiguousness: [[0.82022786 0.17977215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.20443280474916]
Predicted rank: [0], ambiguousness: [[0.8995666 0.1004334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.1854651740042]
Predicted rank: [0], ambiguousness: [[0.5828072  0.41719282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.40503705587214]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.6707046070989]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.7396220480276]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.05403127935784]
Predicted rank: [0], ambiguousness: [[0.82371044 0.17628959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.16389395295485]
Predicted rank: [0], ambiguousness: [[0.92849374 0.07150628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.23632526726854]
Predicted rank: [0], ambiguousness: [[0.8317356  0.16826436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.8124570950853]
Predicted rank: [0], ambiguousness: [[0.65896475 0.34103522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.92116655236075]
Predicted rank: [0], ambiguousness: [[0.8879385  0.11206149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.03785859953291]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.1310463389292]
Predicted rank: [0], ambiguousness: [[0.657524   0.34247598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.07090217406358]
Predicted rank: [0], ambiguousness: [[0.6379243  0.36207572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.39346182561763]
Predicted rank: [0], ambiguousness: [[0.7219899  0.27801007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.64653154576862]
Predicted rank: [0], ambiguousness: [[0.71070975 0.28929025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.90972465426641]
Predicted rank: [0], ambiguousness: [[0.83945733 0.16054265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.21761496385463]
Predicted rank: [0], ambiguousness: [[0.84411836 0.15588167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.33214154716454]
Predicted rank: [0], ambiguousness: [[0.81174004 0.18825994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.37687757241667]
Predicted rank: [0], ambiguousness: [[0.909341   0.09065904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.93435745149006]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.12687545714579]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.44353043935513]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.5198026759081]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.95930547098493]
Predicted rank: [0], ambiguousness: [[0.78636026 0.21363972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.0747168241294]
Predicted rank: [0], ambiguousness: [[0.9245802  0.07541977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.15351784320046]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.20497863443825]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.37747315455076]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.59623776112075]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.95140458672714]
Predicted rank: [0], ambiguousness: [[0.7897174  0.21028262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.64979614083339]
Predicted rank: [0], ambiguousness: [[0.65110266 0.34889734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.1413388382135]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.76232775160724]
Predicted rank: [0], ambiguousness: [[0.8024073  0.19759268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.91293432515926]
Predicted rank: [0], ambiguousness: [[0.80504304 0.19495697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.24403623955808]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.79092807073717]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.1325172150105]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.3713765975263]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.69547633381814]
Predicted rank: [0], ambiguousness: [[0.8357824  0.16421759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.99446751111036]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.11449897558938]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.16097809444452]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.15269014386564]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.37183747886058]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.63803520149321]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.7070493017277]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.0227097845359]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.13267261371489]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.20521643185285]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.78454499667846]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.89325415549655]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.00994569698686]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.10313301334853]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.75240085792282]
Predicted rank: [0], ambiguousness: [[0.6135951  0.38640484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.10280125557915]
Predicted rank: [0], ambiguousness: [[0.72131246 0.27868754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.33876037596262]
Predicted rank: [0], ambiguousness: [[0.71001583 0.28998417]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.69331844122412]
Predicted rank: [0], ambiguousness: [[0.8213786  0.17862141]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.99240217198846]
Predicted rank: [0], ambiguousness: [[0.79812884 0.20187113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.11242230087903]
Predicted rank: [0], ambiguousness: [[0.7974198 0.2025802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.15893017545679]
Predicted rank: [0], ambiguousness: [[0.9011078 0.0988922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.65402728646156]
Predicted rank: [0], ambiguousness: [[0.5806029 0.4193971]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.828131568278]
Predicted rank: [0], ambiguousness: [[0.6118698 0.3881302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.17043737421413]
Predicted rank: [0], ambiguousness: [[0.72222304 0.27777696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.25110887175903]
Predicted rank: [0], ambiguousness: [[0.8913269  0.10867309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.75177402170885]
Predicted rank: [0], ambiguousness: [[0.81342846 0.18657152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.87146349984367]
Predicted rank: [0], ambiguousness: [[0.92375755 0.07624248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.95491077886317]
Predicted rank: [0], ambiguousness: [[0.82579964 0.17420036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.02408179284929]
Predicted rank: [0], ambiguousness: [[0.57076883 0.4292312 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.20144407502605]
Predicted rank: [0], ambiguousness: [[0.8450324  0.15496759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.4289648126364]
Predicted rank: [0], ambiguousness: [[0.7748513 0.2251487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.80654569302064]
Predicted rank: [0], ambiguousness: [[0.8130977  0.18690227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.57377746728011]
Predicted rank: [0], ambiguousness: [[0.6497364 0.3502636]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.88436453740121]
Predicted rank: [0], ambiguousness: [[0.573176   0.42682397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.07331381320273]
Predicted rank: [0], ambiguousness: [[0.6168519 0.3831481]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.39792837647138]
Predicted rank: [0], ambiguousness: [[0.71105623 0.2889438 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.47519453325818]
Predicted rank: [0], ambiguousness: [[0.8930939  0.10690609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.93711536745172]
Predicted rank: [0], ambiguousness: [[0.8281065  0.17189345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.05285760690066]
Predicted rank: [0], ambiguousness: [[0.94307435 0.05692565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.13194893923117]
Predicted rank: [0], ambiguousness: [[0.8289704  0.17102964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.709609606106]
Predicted rank: [0], ambiguousness: [[0.55864835 0.44135162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.91050746648213]
Predicted rank: [0], ambiguousness: [[0.84785557 0.1521444 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.1889522629111]
Predicted rank: [0], ambiguousness: [[0.7771437  0.22285628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.70546589614284]
Predicted rank: [0], ambiguousness: [[0.787586   0.21241404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.88430648989467]
Predicted rank: [0], ambiguousness: [[0.56621677 0.43378323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 108.7133101887653]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.06762726725096]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.30185004303377]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.66933555011666]
Predicted rank: [0], ambiguousness: [[0.8001907 0.1998093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.96791950872735]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.08833456388263]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.13497169383601]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.63192926833726]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.80470991931014]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.14936132137993]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.23038797423595]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.73711602927959]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.85707637323827]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.9408152893008]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.01801703834494]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.19540647698491]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.42301102387313]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.80088625304293]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.5684516688974]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.58159396933237]
Predicted rank: [0], ambiguousness: [[0.57697845 0.42302158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.74997534197718]
Predicted rank: [0], ambiguousness: [[0.58872926 0.4112707 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.10562776070125]
Predicted rank: [0], ambiguousness: [[0.70756155 0.29243845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.18792370399954]
Predicted rank: [0], ambiguousness: [[0.8941066 0.1058934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.72678525238062]
Predicted rank: [0], ambiguousness: [[0.8064972  0.19350277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.84690426529696]
Predicted rank: [0], ambiguousness: [[0.9314228  0.06857719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.93069059873]
Predicted rank: [0], ambiguousness: [[0.81318784 0.18681219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.41664345416666]
Predicted rank: [0], ambiguousness: [[0.5583483  0.44165167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.62961123568608]
Predicted rank: [0], ambiguousness: [[0.8382998  0.16170019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.93210651178504]
Predicted rank: [0], ambiguousness: [[0.7659143  0.23408568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.51408600911117]
Predicted rank: [0], ambiguousness: [[0.7952306  0.20476939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.7178002024813]
Predicted rank: [0], ambiguousness: [[0.55050635 0.44949365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.6654256431984]
Predicted rank: [0], ambiguousness: [[0.5458049  0.45419508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.86959758362224]
Predicted rank: [0], ambiguousness: [[0.8553456 0.1446544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.15587150181862]
Predicted rank: [0], ambiguousness: [[0.7737598  0.22624023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.69658884302757]
Predicted rank: [0], ambiguousness: [[0.8257569  0.17424309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.37289496599023]
Predicted rank: [0], ambiguousness: [[0.562837 0.437163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 108.69908831477308]
Predicted rank: [0], ambiguousness: [[0.5797105  0.42028955]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 107.87336161981426]
Predicted rank: [0], ambiguousness: [[0.5831304  0.41686958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.22187148915089]
Predicted rank: [0], ambiguousness: [[0.731215   0.26878503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.30286230867277]
Predicted rank: [0], ambiguousness: [[0.9009649  0.09903511]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.82575818936215]
Predicted rank: [0], ambiguousness: [[0.8069825  0.19301748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.94447568183374]
Predicted rank: [0], ambiguousness: [[0.92710525 0.07289474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.02675638030135]
Predicted rank: [0], ambiguousness: [[0.80861497 0.19138502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.54359083042833]
Predicted rank: [0], ambiguousness: [[0.61744726 0.38255277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.75308844290218]
Predicted rank: [0], ambiguousness: [[0.84092724 0.15907274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.0490074484282]
Predicted rank: [0], ambiguousness: [[0.78275615 0.21724384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.61423036342553]
Predicted rank: [0], ambiguousness: [[0.8146812 0.1853188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.82041391479582]
Predicted rank: [0], ambiguousness: [[0.57423097 0.42576903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.47266829257288]
Predicted rank: [0], ambiguousness: [[0.5523952  0.44760475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 107.68657361841792]
Predicted rank: [0], ambiguousness: [[0.8387292  0.16127081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 107.9932082131667]
Predicted rank: [0], ambiguousness: [[0.7649516  0.23504844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.59207481379116]
Predicted rank: [0], ambiguousness: [[0.806342   0.19365796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.20949851039353]
Predicted rank: [0], ambiguousness: [[0.52897596 0.47102407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.40891607948949]
Predicted rank: [0], ambiguousness: [[0.54298925 0.45701075]]
Running local search 9
Switching 9 patient(s). Size of neighborhood: 167960
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.5611583598932]
Predicted rank: [0], ambiguousness: [[0.7201364  0.27986357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.41417599381006]
Predicted rank: [0], ambiguousness: [[0.75474745 0.24525253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.99494692884844]
Predicted rank: [0], ambiguousness: [[0.83822894 0.16177104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.10317641020346]
Predicted rank: [0], ambiguousness: [[0.85032046 0.14967953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.32850175145973]
Predicted rank: [0], ambiguousness: [[0.7878593  0.21214065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.46507499517423]
Predicted rank: [0], ambiguousness: [[0.8201356  0.17986444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.66592356024108]
Predicted rank: [0], ambiguousness: [[0.6271434  0.37285665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.33974098466162]
Predicted rank: [0], ambiguousness: [[0.75792766 0.24207236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.74324491632703]
Predicted rank: [0], ambiguousness: [[0.85905665 0.14094335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.9559651906273]
Predicted rank: [0], ambiguousness: [[0.85655    0.14345002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.18285764008556]
Predicted rank: [0], ambiguousness: [[0.7986469  0.20135304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.32008373883504]
Predicted rank: [0], ambiguousness: [[0.8281392  0.17186084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.5195399098993]
Predicted rank: [0], ambiguousness: [[0.63655245 0.36344758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.66450947783004]
Predicted rank: [0], ambiguousness: [[0.8522223  0.14777765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.07371332677334]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.67408266174411]
Predicted rank: [0], ambiguousness: [[0.88820755 0.11179247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.87646667589178]
Predicted rank: [0], ambiguousness: [[0.91317666 0.08682333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.96255530187213]
Predicted rank: [0], ambiguousness: [[0.7630183 0.2369817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.7496812170242]
Predicted rank: [0], ambiguousness: [[0.8407487  0.15925127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.99225356835052]
Predicted rank: [0], ambiguousness: [[0.8662319  0.13376805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.13959555666892]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.19367932499023]
Predicted rank: [0], ambiguousness: [[0.7982265  0.20177355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.35807698411611]
Predicted rank: [0], ambiguousness: [[0.7052765  0.29472348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.45341398609361]
Predicted rank: [0], ambiguousness: [[0.7002782  0.29972178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.49470971429756]
Predicted rank: [0], ambiguousness: [[0.86257386 0.13742614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.66897581952655]
Predicted rank: [0], ambiguousness: [[0.8594483  0.14055169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.88767024147566]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.11456269093392]
Predicted rank: [0], ambiguousness: [[0.79871714 0.20128286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.25178878968342]
Predicted rank: [0], ambiguousness: [[0.834071 0.165929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.45124496074769]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.31562206762106]
Predicted rank: [0], ambiguousness: [[0.8563289  0.14367111]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.78391768972794]
Predicted rank: [0], ambiguousness: [[0.85655    0.14345002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.42115658878646]
Predicted rank: [0], ambiguousness: [[0.89527303 0.10472698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.6288211551597]
Predicted rank: [0], ambiguousness: [[0.9192118  0.08078822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.70574625851626]
Predicted rank: [0], ambiguousness: [[0.7933912  0.20660876]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.60661800156947]
Predicted rank: [0], ambiguousness: [[0.84511614 0.15488385]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.85068087646545]
Predicted rank: [0], ambiguousness: [[0.87062037 0.12937963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.99634650767678]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.05359014926813]
Predicted rank: [0], ambiguousness: [[0.8096663  0.19033374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.21647211760398]
Predicted rank: [0], ambiguousness: [[0.723646 0.276354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.31244153068562]
Predicted rank: [0], ambiguousness: [[0.713853 0.286147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.35394946116119]
Predicted rank: [0], ambiguousness: [[0.8583207  0.14167926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.62397940258342]
Predicted rank: [0], ambiguousness: [[0.8699871  0.13001294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.50968170638498]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.32905632607728]
Predicted rank: [0], ambiguousness: [[0.8859266  0.11407342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.54700231588714]
Predicted rank: [0], ambiguousness: [[0.91354436 0.08645565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.61256117827315]
Predicted rank: [0], ambiguousness: [[0.7662349  0.23376514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.52296506916178]
Predicted rank: [0], ambiguousness: [[0.78569573 0.21430428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.92695024712411]
Predicted rank: [0], ambiguousness: [[0.8533181  0.14668189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.90499734142088]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.50118711542976]
Predicted rank: [0], ambiguousness: [[0.89387363 0.10612638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.54032652989238]
Predicted rank: [0], ambiguousness: [[0.83792895 0.16207105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.70104597376974]
Predicted rank: [0], ambiguousness: [[0.8468681  0.15313189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.7643368969396]
Predicted rank: [0], ambiguousness: [[0.9221925  0.07780751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.58260257398572]
Predicted rank: [0], ambiguousness: [[0.82334065 0.17665933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.67387987435066]
Predicted rank: [0], ambiguousness: [[0.74897933 0.25102067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.89434085100535]
Predicted rank: [0], ambiguousness: [[0.7932445  0.20675553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.95523538989288]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.06082812148209]
Predicted rank: [0], ambiguousness: [[0.7039002  0.29609975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.16770841371726]
Predicted rank: [0], ambiguousness: [[0.90449923 0.09550075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.22162963789786]
Predicted rank: [0], ambiguousness: [[0.72256446 0.2774355 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.23478394429654]
Predicted rank: [0], ambiguousness: [[0.8567269  0.14327314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.72392113958114]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.36356130927797]
Predicted rank: [0], ambiguousness: [[0.89557624 0.10442373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.57148115373714]
Predicted rank: [0], ambiguousness: [[0.9224957  0.07750429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.64799858567176]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.55504057817328]
Predicted rank: [0], ambiguousness: [[0.84517324 0.15482673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.79910222311467]
Predicted rank: [0], ambiguousness: [[0.87530667 0.12469331]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.94476919857172]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.00201034231813]
Predicted rank: [0], ambiguousness: [[0.82616454 0.17383544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16489352718938]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.26086241912682]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.30237017223706]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.24407018994238]
Predicted rank: [0], ambiguousness: [[0.8593297  0.14067033]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.05390604826482]
Predicted rank: [0], ambiguousness: [[0.85543334 0.14456667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.98099339987124]
Predicted rank: [0], ambiguousness: [[0.88860047 0.11139956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.20871652083466]
Predicted rank: [0], ambiguousness: [[0.91605026 0.08394972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.25926091516115]
Predicted rank: [0], ambiguousness: [[0.7886628  0.21133724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.22782309103215]
Predicted rank: [0], ambiguousness: [[0.7896975  0.21030249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.6474473459698]
Predicted rank: [0], ambiguousness: [[0.85695386 0.14304613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.6112196886997]
Predicted rank: [0], ambiguousness: [[0.7848198  0.21518023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.2586054459428]
Predicted rank: [0], ambiguousness: [[0.9035664  0.09643358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.28773153258875]
Predicted rank: [0], ambiguousness: [[0.85407555 0.14592445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.45372333015673]
Predicted rank: [0], ambiguousness: [[0.868253   0.13174699]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.51872576509695]
Predicted rank: [0], ambiguousness: [[0.92736495 0.07263503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.45244629291227]
Predicted rank: [0], ambiguousness: [[0.82756937 0.17243063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.54180313480526]
Predicted rank: [0], ambiguousness: [[0.7639005  0.23609945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.763919541068]
Predicted rank: [0], ambiguousness: [[0.8023559  0.19764414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.82513888639141]
Predicted rank: [0], ambiguousness: [[0.9200301  0.07996988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.93187065800578]
Predicted rank: [0], ambiguousness: [[0.7224439  0.27755612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.03925943693227]
Predicted rank: [0], ambiguousness: [[0.90323573 0.09676427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.09372483813468]
Predicted rank: [0], ambiguousness: [[0.7213583  0.27864167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.4482642535666]
Predicted rank: [0], ambiguousness: [[0.85263634 0.14736363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.30104490635469]
Predicted rank: [0], ambiguousness: [[0.92768544 0.07231456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.51955287528104]
Predicted rank: [0], ambiguousness: [[0.9207467  0.07925332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.5844103689347]
Predicted rank: [0], ambiguousness: [[0.7934518  0.20654824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.87223354826627]
Predicted rank: [0], ambiguousness: [[0.78690207 0.21309796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.36209563473284]
Predicted rank: [0], ambiguousness: [[0.85421443 0.14578557]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.29201861053448]
Predicted rank: [0], ambiguousness: [[0.77731514 0.22268483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.15971316162153]
Predicted rank: [0], ambiguousness: [[0.8926544 0.1073456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.17623457580017]
Predicted rank: [0], ambiguousness: [[0.8361848 0.1638152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.35314724890009]
Predicted rank: [0], ambiguousness: [[0.8487555  0.15124454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.42140074947011]
Predicted rank: [0], ambiguousness: [[0.92416775 0.07583225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.28972286630989]
Predicted rank: [0], ambiguousness: [[0.76525146 0.23474856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.18195166385317]
Predicted rank: [0], ambiguousness: [[0.67605895 0.32394105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.5790540632281]
Predicted rank: [0], ambiguousness: [[0.7763628  0.22363722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.68150016892409]
Predicted rank: [0], ambiguousness: [[0.9237495  0.07625052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.15816608499466]
Predicted rank: [0], ambiguousness: [[0.8421434  0.15785657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.320355450361]
Predicted rank: [0], ambiguousness: [[0.94943243 0.05056754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.43125947520983]
Predicted rank: [0], ambiguousness: [[0.8614322  0.13856782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.30441067079576]
Predicted rank: [0], ambiguousness: [[0.7188379  0.28116208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.46442833210466]
Predicted rank: [0], ambiguousness: [[0.9224458  0.07755426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.64166620961468]
Predicted rank: [0], ambiguousness: [[0.8302623  0.16973767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.79035870664808]
Predicted rank: [0], ambiguousness: [[0.72324425 0.27675575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.20837292711748]
Predicted rank: [0], ambiguousness: [[0.85126936 0.14873067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.02651195859067]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.96377086507435]
Predicted rank: [0], ambiguousness: [[0.8895369  0.11046309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.19204511917728]
Predicted rank: [0], ambiguousness: [[0.91991365 0.08008638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.24193904888931]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.22546856024432]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.64510225905384]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.60899347589825]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25644552893718]
Predicted rank: [0], ambiguousness: [[0.9135203  0.08647972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.28571040330917]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.45165287583661]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.51663655752762]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.44999338205875]
Predicted rank: [0], ambiguousness: [[0.83477014 0.16522984]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.53947381512207]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.7614894643873]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.82268856851948]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.9293459882731]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.0367034814901]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.09113578397306]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.97005736682806]
Predicted rank: [0], ambiguousness: [[0.850494   0.14950594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.95509543027994]
Predicted rank: [0], ambiguousness: [[0.8958812  0.10411882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.18339355032607]
Predicted rank: [0], ambiguousness: [[0.9125397  0.08746029]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.23337511062618]
Predicted rank: [0], ambiguousness: [[0.7752801  0.22471988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.41929741921271]
Predicted rank: [0], ambiguousness: [[0.78118336 0.21881661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.94944894216175]
Predicted rank: [0], ambiguousness: [[0.8506477  0.14935233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.85190888908828]
Predicted rank: [0], ambiguousness: [[0.7761642  0.22383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.85068451150269]
Predicted rank: [0], ambiguousness: [[0.8932119  0.10678811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.8516310663046]
Predicted rank: [0], ambiguousness: [[0.8393518  0.16064824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.03796360962473]
Predicted rank: [0], ambiguousness: [[0.8580877  0.14191227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.10923259336357]
Predicted rank: [0], ambiguousness: [[0.9223006  0.07769941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.03008399249114]
Predicted rank: [0], ambiguousness: [[0.7601194  0.23988062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.9061210753829]
Predicted rank: [0], ambiguousness: [[0.681141   0.31885895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.31984156864925]
Predicted rank: [0], ambiguousness: [[0.7761514  0.22384855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.42568182654185]
Predicted rank: [0], ambiguousness: [[0.9162328  0.08376717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.93828274612775]
Predicted rank: [0], ambiguousness: [[0.8609612  0.13903882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.1045469133601]
Predicted rank: [0], ambiguousness: [[0.9478725  0.05212746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.2198414233182]
Predicted rank: [0], ambiguousness: [[0.8675633 0.1324367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.20469789072702]
Predicted rank: [0], ambiguousness: [[0.7185919  0.28140807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.36558783035971]
Predicted rank: [0], ambiguousness: [[0.9171168  0.08288319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.54431460340173]
Predicted rank: [0], ambiguousness: [[0.8210933 0.1789067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.69434598161709]
Predicted rank: [0], ambiguousness: [[0.717295 0.282705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.82791411200685]
Predicted rank: [0], ambiguousness: [[0.80018663 0.19981334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.32889837345084]
Predicted rank: [0], ambiguousness: [[0.85177755 0.14822248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.25451861851522]
Predicted rank: [0], ambiguousness: [[0.77393305 0.22606696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.16001543832996]
Predicted rank: [0], ambiguousness: [[0.91400605 0.08599397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.17598164251552]
Predicted rank: [0], ambiguousness: [[0.88491267 0.11508735]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.35335720136084]
Predicted rank: [0], ambiguousness: [[0.85765874 0.14234124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.42178745527559]
Predicted rank: [0], ambiguousness: [[0.9334067 0.0665933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.63533660007258]
Predicted rank: [0], ambiguousness: [[0.76277274 0.23722725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.46634253643444]
Predicted rank: [0], ambiguousness: [[0.6730408 0.3269592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.96425847754614]
Predicted rank: [0], ambiguousness: [[0.77396667 0.22603332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.08215213469501]
Predicted rank: [0], ambiguousness: [[0.92277545 0.07722455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.80132500155872]
Predicted rank: [0], ambiguousness: [[0.83722806 0.16277196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.97657475175387]
Predicted rank: [0], ambiguousness: [[0.9476502 0.0523498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.102135004102]
Predicted rank: [0], ambiguousness: [[0.86034214 0.13965783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.66394266427962]
Predicted rank: [0], ambiguousness: [[0.63652647 0.3634735 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.92683162420263]
Predicted rank: [0], ambiguousness: [[0.8906761  0.10932392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.26907223382477]
Predicted rank: [0], ambiguousness: [[0.8283161  0.17168394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.84055392419104]
Predicted rank: [0], ambiguousness: [[0.83994853 0.16005145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.99974287451542]
Predicted rank: [0], ambiguousness: [[0.7222621  0.27773792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.20298614107057]
Predicted rank: [0], ambiguousness: [[0.85191303 0.14808697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.15423072655072]
Predicted rank: [0], ambiguousness: [[0.88320905 0.11679097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.37881013708864]
Predicted rank: [0], ambiguousness: [[0.9101301  0.08986993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.43518268870037]
Predicted rank: [0], ambiguousness: [[0.78827673 0.21172328]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.66275111353474]
Predicted rank: [0], ambiguousness: [[0.77358943 0.22641055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.17980092332658]
Predicted rank: [0], ambiguousness: [[0.8673736  0.13262641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.09275848765833]
Predicted rank: [0], ambiguousness: [[0.8093653  0.19063476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.04967538141273]
Predicted rank: [0], ambiguousness: [[0.90802664 0.09197339]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.05752543208348]
Predicted rank: [0], ambiguousness: [[0.8475548  0.15244523]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.24019421425587]
Predicted rank: [0], ambiguousness: [[0.88108414 0.11891586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.31027187895558]
Predicted rank: [0], ambiguousness: [[0.9303975  0.06960249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.22869003217598]
Predicted rank: [0], ambiguousness: [[0.7844142  0.21558586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.11308768198688]
Predicted rank: [0], ambiguousness: [[0.6944821 0.3055179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.51906708112085]
Predicted rank: [0], ambiguousness: [[0.81572425 0.18427572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.62326460060262]
Predicted rank: [0], ambiguousness: [[0.92771065 0.07228934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.12059974535529]
Predicted rank: [0], ambiguousness: [[0.89042753 0.10957249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.28477649651076]
Predicted rank: [0], ambiguousness: [[0.9488282  0.05117179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.39786971354562]
Predicted rank: [0], ambiguousness: [[0.87379915 0.12620085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.337572749029]
Predicted rank: [0], ambiguousness: [[0.7652629 0.2347371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.49754133012127]
Predicted rank: [0], ambiguousness: [[0.9185879  0.08141207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.67474634721808]
Predicted rank: [0], ambiguousness: [[0.8348214  0.16517861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.82310551742793]
Predicted rank: [0], ambiguousness: [[0.749525 0.250475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.56799684918795]
Predicted rank: [0], ambiguousness: [[0.77508926 0.22491075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.1003669482963]
Predicted rank: [0], ambiguousness: [[0.84539986 0.15460011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.00768065476652]
Predicted rank: [0], ambiguousness: [[0.77290076 0.22709924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.0172139037754]
Predicted rank: [0], ambiguousness: [[0.9032724  0.09672759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.0246608517754]
Predicted rank: [0], ambiguousness: [[0.8542139 0.1457861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.20768952870715]
Predicted rank: [0], ambiguousness: [[0.8516582  0.14834179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.27793152019025]
Predicted rank: [0], ambiguousness: [[0.92711955 0.07288044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.42243445370994]
Predicted rank: [0], ambiguousness: [[0.7529464 0.2470536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.23401290602413]
Predicted rank: [0], ambiguousness: [[0.6717454  0.32825455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.76032504999625]
Predicted rank: [0], ambiguousness: [[0.7686044  0.23139563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.88294642986062]
Predicted rank: [0], ambiguousness: [[0.9093353  0.09066466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.67184365749108]
Predicted rank: [0], ambiguousness: [[0.8477904  0.15220958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.85145667997097]
Predicted rank: [0], ambiguousness: [[0.93996155 0.06003844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.9817555882046]
Predicted rank: [0], ambiguousness: [[0.8528744  0.14712562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.57412197663567]
Predicted rank: [0], ambiguousness: [[0.62946457 0.37053543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.84147838559129]
Predicted rank: [0], ambiguousness: [[0.8757171  0.12428292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.1919612611139]
Predicted rank: [0], ambiguousness: [[0.8080035 0.1919965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.78581390387134]
Predicted rank: [0], ambiguousness: [[0.8417684  0.15823165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.01647452985371]
Predicted rank: [0], ambiguousness: [[0.6940368  0.30596322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.73662933093851]
Predicted rank: [0], ambiguousness: [[0.7479371  0.25206295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.5694438877282]
Predicted rank: [0], ambiguousness: [[0.6939125  0.30608752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.07183972075836]
Predicted rank: [0], ambiguousness: [[0.77325916 0.2267408 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.18973769895409]
Predicted rank: [0], ambiguousness: [[0.91722876 0.08277123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.92755441523835]
Predicted rank: [0], ambiguousness: [[0.86934483 0.13065514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.1014863563419]
Predicted rank: [0], ambiguousness: [[0.9585805  0.04141948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.22554319559868]
Predicted rank: [0], ambiguousness: [[0.86500597 0.134994  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.03378477088003]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.33999037641246]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.77409822407367]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.59560891189577]
Predicted rank: [0], ambiguousness: [[0.8274189  0.17258108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.3600669069367]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.56098414869668]
Predicted rank: [0], ambiguousness: [[0.72947973 0.27052027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.41330996155942]
Predicted rank: [0], ambiguousness: [[0.688236   0.31176397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.99408089659778]
Predicted rank: [0], ambiguousness: [[0.7980487  0.20195134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.1023103779528]
Predicted rank: [0], ambiguousness: [[0.80296147 0.19703853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.32763571920907]
Predicted rank: [0], ambiguousness: [[0.7270806  0.27291942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.4642089629236]
Predicted rank: [0], ambiguousness: [[0.7658559 0.2341441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.66505752799046]
Predicted rank: [0], ambiguousness: [[0.6028168  0.39718315]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.33661682202992]
Predicted rank: [0], ambiguousness: [[0.6632769  0.33672306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.74012075369532]
Predicted rank: [0], ambiguousness: [[0.78584814 0.21415184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.9528410279956]
Predicted rank: [0], ambiguousness: [[0.79624    0.20376003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.17973347745388]
Predicted rank: [0], ambiguousness: [[0.7186775  0.28132248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.31695957620336]
Predicted rank: [0], ambiguousness: [[0.75924194 0.24075806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.51641574726762]
Predicted rank: [0], ambiguousness: [[0.6079975  0.39200252]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.66138531519836]
Predicted rank: [0], ambiguousness: [[0.77830803 0.22169194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.07058916414165]
Predicted rank: [0], ambiguousness: [[0.79083544 0.20916456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.6709584991124]
Predicted rank: [0], ambiguousness: [[0.83002687 0.16997312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.8733425132601]
Predicted rank: [0], ambiguousness: [[0.8649176  0.13508241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.95943113924045]
Predicted rank: [0], ambiguousness: [[0.71061    0.28939003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.74655705439253]
Predicted rank: [0], ambiguousness: [[0.7727424 0.2272576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.98912940571881]
Predicted rank: [0], ambiguousness: [[0.8090852  0.19091481]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.13647139403723]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.19055516235855]
Predicted rank: [0], ambiguousness: [[0.7213721  0.27862784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.3549528214844]
Predicted rank: [0], ambiguousness: [[0.67591107 0.32408893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.45028982346192]
Predicted rank: [0], ambiguousness: [[0.6741673  0.32583275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.49158555166588]
Predicted rank: [0], ambiguousness: [[0.85192424 0.14807574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.65970821571713]
Predicted rank: [0], ambiguousness: [[0.80098677 0.19901322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.87840577035237]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.10529821981065]
Predicted rank: [0], ambiguousness: [[0.7253481  0.27465186]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.24252431856013]
Predicted rank: [0], ambiguousness: [[0.7698758  0.23012418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.44198048962438]
Predicted rank: [0], ambiguousness: [[0.6138238  0.38617626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.30649840428842]
Predicted rank: [0], ambiguousness: [[0.7986663  0.20133372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.77479402639531]
Predicted rank: [0], ambiguousness: [[0.7989553  0.20104471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.4120329254538]
Predicted rank: [0], ambiguousness: [[0.8537305  0.14626949]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.61969749182703]
Predicted rank: [0], ambiguousness: [[0.8833493  0.11665068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.69662259518361]
Predicted rank: [0], ambiguousness: [[0.7562906 0.2437094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.5974943382368]
Predicted rank: [0], ambiguousness: [[0.784088   0.21591198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.8415572131328]
Predicted rank: [0], ambiguousness: [[0.817471   0.18252896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.98722284434413]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.04446648593549]
Predicted rank: [0], ambiguousness: [[0.7389841  0.26101592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.20734845427134]
Predicted rank: [0], ambiguousness: [[0.6945362  0.30546382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.30331786735297]
Predicted rank: [0], ambiguousness: [[0.6841619  0.31583807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.34482579782852]
Predicted rank: [0], ambiguousness: [[0.8402655  0.15973446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.61485573925077]
Predicted rank: [0], ambiguousness: [[0.8166324  0.18336761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.50055804305232]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.31993266274463]
Predicted rank: [0], ambiguousness: [[0.8378943  0.16210566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.5378786525545]
Predicted rank: [0], ambiguousness: [[0.8755068  0.12449319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.6034375149405]
Predicted rank: [0], ambiguousness: [[0.7281437  0.27185628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.51384140582914]
Predicted rank: [0], ambiguousness: [[0.7093078  0.29069224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.91782658379145]
Predicted rank: [0], ambiguousness: [[0.79473674 0.20526324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.89587367808824]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.49206345209711]
Predicted rank: [0], ambiguousness: [[0.8518678  0.14813219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.53120286655972]
Predicted rank: [0], ambiguousness: [[0.8125237  0.18747625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.6919223104371]
Predicted rank: [0], ambiguousness: [[0.8188089  0.18119109]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.75521323360695]
Predicted rank: [0], ambiguousness: [[0.90546477 0.09453525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.5734789106531]
Predicted rank: [0], ambiguousness: [[0.7562076 0.2437924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.66475621101803]
Predicted rank: [0], ambiguousness: [[0.7215111 0.2784889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.8852171876727]
Predicted rank: [0], ambiguousness: [[0.7691269  0.23087311]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.94611172656022]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.05170445814943]
Predicted rank: [0], ambiguousness: [[0.6736486  0.32635143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.15858475038462]
Predicted rank: [0], ambiguousness: [[0.8915856 0.1084144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.21250597456523]
Predicted rank: [0], ambiguousness: [[0.69338906 0.3066109 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.20765820467514]
Predicted rank: [0], ambiguousness: [[0.7991865  0.20081346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.69763831772298]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.3374001631376]
Predicted rank: [0], ambiguousness: [[0.85413444 0.14586554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.54533411202578]
Predicted rank: [0], ambiguousness: [[0.8879133  0.11208674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.62182842194858]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.52919938908516]
Predicted rank: [0], ambiguousness: [[0.78416187 0.21583813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.77326226398117]
Predicted rank: [0], ambiguousness: [[0.8236927  0.17630734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.9189278951925]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.97617153678385]
Predicted rank: [0], ambiguousness: [[0.7597915  0.24020852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.1390535051197]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.23502291820134]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.27653084867691]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.2207830667588]
Predicted rank: [0], ambiguousness: [[0.80358326 0.19641677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.03053702201795]
Predicted rank: [0], ambiguousness: [[0.7989553  0.20104471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.95783511320042]
Predicted rank: [0], ambiguousness: [[0.8423254  0.15767461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.18557565307057]
Predicted rank: [0], ambiguousness: [[0.87963325 0.12036676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.2360944475901]
Predicted rank: [0], ambiguousness: [[0.7542101  0.24578989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.20480260078591]
Predicted rank: [0], ambiguousness: [[0.71606255 0.28393745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.62445221381067]
Predicted rank: [0], ambiguousness: [[0.8009317  0.19906832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.58820303095689]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.23567251588113]
Predicted rank: [0], ambiguousness: [[0.86554676 0.13445325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.26478423250273]
Predicted rank: [0], ambiguousness: [[0.8315681  0.16843188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.43078389444082]
Predicted rank: [0], ambiguousness: [[0.8442123 0.1557877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.49578883902302]
Predicted rank: [0], ambiguousness: [[0.9121454  0.08785462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.42969039347966]
Predicted rank: [0], ambiguousness: [[0.7632189  0.23678114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.51904569496807]
Predicted rank: [0], ambiguousness: [[0.7392428 0.2607572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.74116347159563]
Predicted rank: [0], ambiguousness: [[0.7805606  0.21943939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.80238308522928]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.90911571210376]
Predicted rank: [0], ambiguousness: [[0.6951842  0.30481583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.0165049183997]
Predicted rank: [0], ambiguousness: [[0.8910545  0.10894551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.07097076883576]
Predicted rank: [0], ambiguousness: [[0.6940371 0.3059629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.42586273306046]
Predicted rank: [0], ambiguousness: [[0.79267114 0.20732884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.27864338584854]
Predicted rank: [0], ambiguousness: [[0.894215 0.105785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.49715135477489]
Predicted rank: [0], ambiguousness: [[0.8844646  0.11553538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.56200884842855]
Predicted rank: [0], ambiguousness: [[0.75656354 0.24343646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.84983202776012]
Predicted rank: [0], ambiguousness: [[0.7093078  0.29069224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.33969411422667]
Predicted rank: [0], ambiguousness: [[0.79473674 0.20526324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.26961709002832]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.13731164111536]
Predicted rank: [0], ambiguousness: [[0.84566736 0.15433261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.153833055294]
Predicted rank: [0], ambiguousness: [[0.80505335 0.19494663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.33074572839394]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.39899922896396]
Predicted rank: [0], ambiguousness: [[0.9079153  0.09208473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.26732134580374]
Predicted rank: [0], ambiguousness: [[0.68294996 0.31705004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.15955014334702]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.55665254272195]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.65909864841794]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.13576456448851]
Predicted rank: [0], ambiguousness: [[0.8157593  0.18424067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.29795392985486]
Predicted rank: [0], ambiguousness: [[0.93969655 0.06030347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.40885795470365]
Predicted rank: [0], ambiguousness: [[0.8341471  0.16585293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.28200915028958]
Predicted rank: [0], ambiguousness: [[0.6878997  0.31210026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.4420268115985]
Predicted rank: [0], ambiguousness: [[0.9111424  0.08885758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.61926468910853]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.76795718614193]
Predicted rank: [0], ambiguousness: [[0.69258356 0.30741644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.11280509685295]
Predicted rank: [0], ambiguousness: [[0.79206914 0.20793086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.92911503617786]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.87530946802428]
Predicted rank: [0], ambiguousness: [[0.842755   0.15724498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.10431652523799]
Predicted rank: [0], ambiguousness: [[0.8843235 0.1156765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.1531209584755]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.14365909374305]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.56426393022237]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.52728851347305]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.17791444765913]
Predicted rank: [0], ambiguousness: [[0.8782315 0.1217685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.20657825588148]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.37283715430196]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.43792313314684]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.37811356994028]
Predicted rank: [0], ambiguousness: [[0.7707712  0.22922881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.4674704118333]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.68958681809602]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.75080616341943]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.85753793503382]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.96492671396028]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.0193921151627]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.89218982174768]
Predicted rank: [0], ambiguousness: [[0.79211634 0.20788366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.88478931723722]
Predicted rank: [0], ambiguousness: [[0.85214484 0.14785513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.11363577459363]
Predicted rank: [0], ambiguousness: [[0.8748232  0.12517676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.16277885625072]
Predicted rank: [0], ambiguousness: [[0.7393938  0.26060623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.34358263108615]
Predicted rank: [0], ambiguousness: [[0.7142171  0.28578287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.87596886844958]
Predicted rank: [0], ambiguousness: [[0.79948336 0.20051663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.77689634605181]
Predicted rank: [0], ambiguousness: [[0.7600168  0.23998323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.7829234990501]
Predicted rank: [0], ambiguousness: [[0.85412854 0.14587145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.78299348394754]
Predicted rank: [0], ambiguousness: [[0.8178716  0.18212846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.96985226204183]
Predicted rank: [0], ambiguousness: [[0.83863103 0.16136894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.04128954117425]
Predicted rank: [0], ambiguousness: [[0.91073185 0.08926813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.96507336632139]
Predicted rank: [0], ambiguousness: [[0.6892709 0.3107291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.84020466271858]
Predicted rank: [0], ambiguousness: [[0.66113156 0.33886844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.25485206906748]
Predicted rank: [0], ambiguousness: [[0.76000345 0.23999658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.36088079559909]
Predicted rank: [0], ambiguousness: [[0.9090053  0.09099472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.87547212486461]
Predicted rank: [0], ambiguousness: [[0.8451972 0.1548028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.04196217238135]
Predicted rank: [0], ambiguousness: [[0.94129044 0.05870956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.15750010546218]
Predicted rank: [0], ambiguousness: [[0.8491774  0.15082256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.14832443898939]
Predicted rank: [0], ambiguousness: [[0.69989717 0.30010286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.30927109489102]
Predicted rank: [0], ambiguousness: [[0.90995806 0.09004195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.48809386078956]
Predicted rank: [0], ambiguousness: [[0.8073827  0.19261728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.63821816887388]
Predicted rank: [0], ambiguousness: [[0.6985502 0.3014498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.77538035452915]
Predicted rank: [0], ambiguousness: [[0.7298894  0.27011064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.27677858087131]
Predicted rank: [0], ambiguousness: [[0.7949802  0.20501977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.20208663379847]
Predicted rank: [0], ambiguousness: [[0.7508584 0.2491416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.10890258053152]
Predicted rank: [0], ambiguousness: [[0.87762827 0.12237173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.12467179832196]
Predicted rank: [0], ambiguousness: [[0.8643147 0.1356853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.30215395877397]
Predicted rank: [0], ambiguousness: [[0.833103   0.16689701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.37061897219647]
Predicted rank: [0], ambiguousness: [[0.9207104  0.07928964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.58296172738258]
Predicted rank: [0], ambiguousness: [[0.6845025  0.31549752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.41360387143578]
Predicted rank: [0], ambiguousness: [[0.64439976 0.35560024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.911953897727]
Predicted rank: [0], ambiguousness: [[0.75089437 0.24910562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.02992705307841]
Predicted rank: [0], ambiguousness: [[0.913189 0.086811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.75005254939235]
Predicted rank: [0], ambiguousness: [[0.8099288 0.1900712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.92538918857721]
Predicted rank: [0], ambiguousness: [[0.9374876  0.06251241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.05104246809326]
Predicted rank: [0], ambiguousness: [[0.8361609  0.16383913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.61272417099586]
Predicted rank: [0], ambiguousness: [[0.60655665 0.39344335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.87572855384987]
Predicted rank: [0], ambiguousness: [[0.87763333 0.12236668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.21816725166227]
Predicted rank: [0], ambiguousness: [[0.80942535 0.19057462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.79010540608922]
Predicted rank: [0], ambiguousness: [[0.81685567 0.18314433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.95064824304615]
Predicted rank: [0], ambiguousness: [[0.69598514 0.30401486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.83450418902098]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.84816720103925]
Predicted rank: [0], ambiguousness: [[0.84374774 0.1562523 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.07771181869096]
Predicted rank: [0], ambiguousness: [[0.86751384 0.13248618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.12602000619849]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.31186993580177]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.84798828199797]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.7470100520741]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.765350956441]
Predicted rank: [0], ambiguousness: [[0.8684424 0.1315576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.7647068184057]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.95214196086425]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.0237616241896]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.96274019817363]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.83799335860795]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.25267086448872]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.35868572597866]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.87353800501545]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.03998409961898]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.15548167182973]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.14609475350004]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.30698469313276]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.48571146617476]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.63574284439011]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.23764345461879]
Predicted rank: [0], ambiguousness: [[0.70611066 0.29388934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.78968010541999]
Predicted rank: [0], ambiguousness: [[0.792204   0.20779599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.68332250219859]
Predicted rank: [0], ambiguousness: [[0.74767435 0.25232568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.75658789265063]
Predicted rank: [0], ambiguousness: [[0.86120105 0.13879897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.75607252942517]
Predicted rank: [0], ambiguousness: [[0.8206365  0.17936347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.94351253553063]
Predicted rank: [0], ambiguousness: [[0.8176179  0.18238209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.01519235556889]
Predicted rank: [0], ambiguousness: [[0.9121072  0.08789279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.11338671181602]
Predicted rank: [0], ambiguousness: [[0.6783471  0.32165292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.90987811484936]
Predicted rank: [0], ambiguousness: [[0.6497212 0.3502788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.4549144159461]
Predicted rank: [0], ambiguousness: [[0.75066674 0.24933326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.58087969331717]
Predicted rank: [0], ambiguousness: [[0.90473866 0.09526132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.41212441429302]
Predicted rank: [0], ambiguousness: [[0.82611775 0.17388228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.59524614341888]
Predicted rank: [0], ambiguousness: [[0.9331173 0.0668827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.72930447809037]
Predicted rank: [0], ambiguousness: [[0.8378153  0.16218475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.32188493331995]
Predicted rank: [0], ambiguousness: [[0.60626626 0.39373377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.59373242619029]
Predicted rank: [0], ambiguousness: [[0.8696603 0.1303397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.95204768025951]
Predicted rank: [0], ambiguousness: [[0.7994027  0.20059729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.56463338791099]
Predicted rank: [0], ambiguousness: [[0.8294483  0.17055172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.84981587564425]
Predicted rank: [0], ambiguousness: [[0.6823378  0.31766218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.53478980021538]
Predicted rank: [0], ambiguousness: [[0.6731788  0.32682118]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.35943502927122]
Predicted rank: [0], ambiguousness: [[0.66276085 0.33723918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.87125461592368]
Predicted rank: [0], ambiguousness: [[0.7472415 0.2527585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.99087939522845]
Predicted rank: [0], ambiguousness: [[0.90938723 0.0906128 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.74906578192608]
Predicted rank: [0], ambiguousness: [[0.8448756  0.15512444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.9248894364808]
Predicted rank: [0], ambiguousness: [[0.95190275 0.04809725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.05094866009614]
Predicted rank: [0], ambiguousness: [[0.8456707  0.15432927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.82257891646036]
Predicted rank: [0], ambiguousness: [[0.603271   0.39672902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.13327432939809]
Predicted rank: [0], ambiguousness: [[0.8761492  0.12385081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.57571429748697]
Predicted rank: [0], ambiguousness: [[0.8072956  0.19270436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.417770442532]
Predicted rank: [0], ambiguousness: [[0.8073884  0.19261155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.17724823597462]
Predicted rank: [0], ambiguousness: [[0.61060756 0.38939244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.48739424285807]
Predicted rank: [0], ambiguousness: [[0.67862713 0.3213729 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.02542958465777]
Predicted rank: [0], ambiguousness: [[0.7940422  0.20595779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.92996454104909]
Predicted rank: [0], ambiguousness: [[0.7691419 0.2308581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.95817346369365]
Predicted rank: [0], ambiguousness: [[0.84843665 0.15156336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.96464039184936]
Predicted rank: [0], ambiguousness: [[0.8172146 0.1827854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.14835666139857]
Predicted rank: [0], ambiguousness: [[0.828707   0.17129305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.21882314654755]
Predicted rank: [0], ambiguousness: [[0.9147617  0.08523826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.3625188706329]
Predicted rank: [0], ambiguousness: [[0.7077393 0.2922607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.17174369163705]
Predicted rank: [0], ambiguousness: [[0.6637279  0.33627215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.70181544106373]
Predicted rank: [0], ambiguousness: [[0.7935465  0.20645352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.82502912302363]
Predicted rank: [0], ambiguousness: [[0.91764987 0.08235011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.62337589239468]
Predicted rank: [0], ambiguousness: [[0.86178297 0.13821705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.80348463902831]
Predicted rank: [0], ambiguousness: [[0.93432474 0.06567526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.9343157103617]
Predicted rank: [0], ambiguousness: [[0.8452019 0.1547981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.53617290673844]
Predicted rank: [0], ambiguousness: [[0.6628252 0.3371748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.80378162892335]
Predicted rank: [0], ambiguousness: [[0.8718561  0.12814394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.15475621429015]
Predicted rank: [0], ambiguousness: [[0.81441903 0.185581  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.74994473638836]
Predicted rank: [0], ambiguousness: [[0.84627694 0.15372308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.98397887923389]
Predicted rank: [0], ambiguousness: [[0.70286    0.29713997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.2625397446021]
Predicted rank: [0], ambiguousness: [[0.66939807 0.33060193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.06379128791045]
Predicted rank: [0], ambiguousness: [[0.63857555 0.36142442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.61247274127132]
Predicted rank: [0], ambiguousness: [[0.74612725 0.25387275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.73790222012191]
Predicted rank: [0], ambiguousness: [[0.9075543  0.09244569]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.58984606482545]
Predicted rank: [0], ambiguousness: [[0.8333114  0.16668864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.77041586590732]
Predicted rank: [0], ambiguousness: [[0.94278467 0.05721533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.90154878707173]
Predicted rank: [0], ambiguousness: [[0.8332693  0.16673072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.56826323163583]
Predicted rank: [0], ambiguousness: [[0.595973   0.40402696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.89273116926154]
Predicted rank: [0], ambiguousness: [[0.85951596 0.14048402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.36307765480633]
Predicted rank: [0], ambiguousness: [[0.7851412  0.21485879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.28292621992537]
Predicted rank: [0], ambiguousness: [[0.80321443 0.19678554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.0819702159925]
Predicted rank: [0], ambiguousness: [[0.5776702  0.42232978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.92473544096839]
Predicted rank: [0], ambiguousness: [[0.59449136 0.40550864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.23651548789127]
Predicted rank: [0], ambiguousness: [[0.8794656  0.12053443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.6838464084274]
Predicted rank: [0], ambiguousness: [[0.7997513  0.20024872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.54599556595298]
Predicted rank: [0], ambiguousness: [[0.8384593  0.16154067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.5008979931945]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.41335290698125]
Predicted rank: [0], ambiguousness: [[0.722425 0.277575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.99412384201962]
Predicted rank: [0], ambiguousness: [[0.82489544 0.17510454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.10235332337463]
Predicted rank: [0], ambiguousness: [[0.8277187  0.17228132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.32767866463092]
Predicted rank: [0], ambiguousness: [[0.7585045 0.2414955]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.46425190834543]
Predicted rank: [0], ambiguousness: [[0.79407966 0.20592037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.66510047341228]
Predicted rank: [0], ambiguousness: [[0.5545354 0.4454646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.33593675140068]
Predicted rank: [0], ambiguousness: [[0.7154174 0.2845826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.73944067279642]
Predicted rank: [0], ambiguousness: [[0.83033 0.16967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.95216094709669]
Predicted rank: [0], ambiguousness: [[0.8274151 0.1725849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.17905339655496]
Predicted rank: [0], ambiguousness: [[0.75811464 0.24188538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.31627949530443]
Predicted rank: [0], ambiguousness: [[0.79461765 0.20538238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.5157356663687]
Predicted rank: [0], ambiguousness: [[0.5607051  0.43929487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.66070523429943]
Predicted rank: [0], ambiguousness: [[0.8160293  0.18397067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.06990908324272]
Predicted rank: [0], ambiguousness: [[0.8162992  0.18370081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.67027841821348]
Predicted rank: [0], ambiguousness: [[0.8574313 0.1425687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.87266243236115]
Predicted rank: [0], ambiguousness: [[0.88998514 0.11001484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.95875105834152]
Predicted rank: [0], ambiguousness: [[0.6920959  0.30790412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.74587697349361]
Predicted rank: [0], ambiguousness: [[0.7998513  0.20014869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.9884493248199]
Predicted rank: [0], ambiguousness: [[0.83279693 0.16720307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.13579131313831]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.1898750814596]
Predicted rank: [0], ambiguousness: [[0.7526474  0.24735261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.35427274058549]
Predicted rank: [0], ambiguousness: [[0.6218034  0.37819657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.449609742563]
Predicted rank: [0], ambiguousness: [[0.61993206 0.3800679 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.49090547076693]
Predicted rank: [0], ambiguousness: [[0.81419027 0.1858097 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.65672337740504]
Predicted rank: [0], ambiguousness: [[0.79602396 0.203976  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.87542093187017]
Predicted rank: [0], ambiguousness: [[0.8038622  0.19613777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.10231338132844]
Predicted rank: [0], ambiguousness: [[0.7282108  0.27178916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.23953948007792]
Predicted rank: [0], ambiguousness: [[0.7752168  0.22478321]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.43899565114219]
Predicted rank: [0], ambiguousness: [[0.56522214 0.4347779 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.30351355553653]
Predicted rank: [0], ambiguousness: [[0.7918379  0.20816213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.7718091776434]
Predicted rank: [0], ambiguousness: [[0.80379343 0.19620658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.40904807670191]
Predicted rank: [0], ambiguousness: [[0.8429977  0.15700226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.61671264307515]
Predicted rank: [0], ambiguousness: [[0.87895775 0.12104226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.69363774643172]
Predicted rank: [0], ambiguousness: [[0.716195   0.28380504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.59450948948492]
Predicted rank: [0], ambiguousness: [[0.7865187 0.2134813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.8385723643809]
Predicted rank: [0], ambiguousness: [[0.8219629  0.17803712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.98423799559222]
Predicted rank: [0], ambiguousness: [[0.723282   0.27671802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.04148163718358]
Predicted rank: [0], ambiguousness: [[0.7448044  0.25519562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.20436360551945]
Predicted rank: [0], ambiguousness: [[0.64666295 0.35333702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.30033301860108]
Predicted rank: [0], ambiguousness: [[0.6392094  0.36079058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.34184094907664]
Predicted rank: [0], ambiguousness: [[0.8169213 0.1830787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.61187089049886]
Predicted rank: [0], ambiguousness: [[0.8083386  0.19166142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.49757319430043]
Predicted rank: [0], ambiguousness: [[0.7965192 0.2034808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.31694781399273]
Predicted rank: [0], ambiguousness: [[0.82809967 0.17190035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.53489380380262]
Predicted rank: [0], ambiguousness: [[0.8694502  0.13054977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.6004526661886]
Predicted rank: [0], ambiguousness: [[0.68023276 0.31976727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.51085655707723]
Predicted rank: [0], ambiguousness: [[0.70970166 0.29029834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.91484173503957]
Predicted rank: [0], ambiguousness: [[0.79763997 0.20236006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.89288882933633]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.48907860334523]
Predicted rank: [0], ambiguousness: [[0.84148777 0.1585122 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.52821801780784]
Predicted rank: [0], ambiguousness: [[0.7675608 0.2324392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.68893746168521]
Predicted rank: [0], ambiguousness: [[0.78209466 0.21790533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.75222838485507]
Predicted rank: [0], ambiguousness: [[0.8886117  0.11138833]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.5704940619012]
Predicted rank: [0], ambiguousness: [[0.75949085 0.24050918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.66177136226614]
Predicted rank: [0], ambiguousness: [[0.6731472 0.3268528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.8822323389208]
Predicted rank: [0], ambiguousness: [[0.72905874 0.2709413 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.94312687780834]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.04871960939755]
Predicted rank: [0], ambiguousness: [[0.62508726 0.37491274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.15559990163273]
Predicted rank: [0], ambiguousness: [[0.8670141  0.13298588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.20952112581332]
Predicted rank: [0], ambiguousness: [[0.6466757  0.35332432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.19848420719522]
Predicted rank: [0], ambiguousness: [[0.82446194 0.17553803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.68848850893389]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.32825176205873]
Predicted rank: [0], ambiguousness: [[0.86893106 0.13106897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.5361858542122]
Predicted rank: [0], ambiguousness: [[0.90337133 0.09662864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.6126799385871]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.52005431334943]
Predicted rank: [0], ambiguousness: [[0.80841815 0.19158183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.76411718824542]
Predicted rank: [0], ambiguousness: [[0.8464762  0.15352382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.90978281945675]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.9670264610481]
Predicted rank: [0], ambiguousness: [[0.78871447 0.21128552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.12990842938396]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.2258778424656]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.26738577294117]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.211778788544]
Predicted rank: [0], ambiguousness: [[0.8284241  0.17157592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.02153274380316]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.94883083498561]
Predicted rank: [0], ambiguousness: [[0.8612021  0.13879785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.17657137485577]
Predicted rank: [0], ambiguousness: [[0.8960996  0.10390039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.2270901693753]
Predicted rank: [0], ambiguousness: [[0.72804993 0.27195007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.19579832257112]
Predicted rank: [0], ambiguousness: [[0.74548805 0.25451195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.61544793559588]
Predicted rank: [0], ambiguousness: [[0.8260352  0.17396478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.57919875274209]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.22666823766635]
Predicted rank: [0], ambiguousness: [[0.88103426 0.11896574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.25577995428793]
Predicted rank: [0], ambiguousness: [[0.80515313 0.19484688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.42177961622603]
Predicted rank: [0], ambiguousness: [[0.82541394 0.17458604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.48678456080822]
Predicted rank: [0], ambiguousness: [[0.9015678  0.09843218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.42068611526486]
Predicted rank: [0], ambiguousness: [[0.7918422  0.20815775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.51004141675328]
Predicted rank: [0], ambiguousness: [[0.69611686 0.30388314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.73215919338082]
Predicted rank: [0], ambiguousness: [[0.74493027 0.2550697 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.79337880701449]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.90011143388895]
Predicted rank: [0], ambiguousness: [[0.6518739 0.3481261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.00750064018492]
Predicted rank: [0], ambiguousness: [[0.8640368  0.13596323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.06196649062097]
Predicted rank: [0], ambiguousness: [[0.65064573 0.34935427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.41685845484567]
Predicted rank: [0], ambiguousness: [[0.8185805 0.1814195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.26963910763374]
Predicted rank: [0], ambiguousness: [[0.9075613  0.09243868]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.4881470765601]
Predicted rank: [0], ambiguousness: [[0.90034497 0.09965505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.55300457021374]
Predicted rank: [0], ambiguousness: [[0.73056436 0.2694356 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.84082774954533]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.33068983601189]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.26061281181353]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.12830736290056]
Predicted rank: [0], ambiguousness: [[0.8660729  0.13392708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.1448287770792]
Predicted rank: [0], ambiguousness: [[0.7800162  0.21998383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.32174145017913]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.38999495074916]
Predicted rank: [0], ambiguousness: [[0.8958555  0.10414454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.25831706758893]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.15054586513222]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.54764826450716]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.65009437020315]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.12676028627372]
Predicted rank: [0], ambiguousness: [[0.7901605  0.20983952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.28894965164007]
Predicted rank: [0], ambiguousness: [[0.9261527 0.0738473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.39985367648886]
Predicted rank: [0], ambiguousness: [[0.81440115 0.18559882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.2730048720748]
Predicted rank: [0], ambiguousness: [[0.64408433 0.3559157 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.43302253338369]
Predicted rank: [0], ambiguousness: [[0.8884829  0.11151709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.61026041089374]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.75895290792712]
Predicted rank: [0], ambiguousness: [[0.6490903  0.35090974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.08464707973357]
Predicted rank: [0], ambiguousness: [[0.81803644 0.18196356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.90121910557914]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.84822589265302]
Predicted rank: [0], ambiguousness: [[0.8615888  0.13841121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.07728899143694]
Predicted rank: [0], ambiguousness: [[0.90022105 0.09977896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.12601615393993]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.11743381463201]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.53808784537802]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.50107295816774]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.15186121939811]
Predicted rank: [0], ambiguousness: [[0.8924395  0.10756055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.18049965247499]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.34677281094127]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.41186328953754]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.35238876509393]
Predicted rank: [0], ambiguousness: [[0.7987224  0.20127764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.44174406658234]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.6638618432099]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.72508145684355]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.83181408371803]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.93920329001398]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.99366914045004]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.86868392909582]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.86159379302404]
Predicted rank: [0], ambiguousness: [[0.8707334  0.12926665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.09045916322404]
Predicted rank: [0], ambiguousness: [[0.8924687  0.10753132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.13957477517778]
Predicted rank: [0], ambiguousness: [[0.7135389  0.28646114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.32023391388918]
Predicted rank: [0], ambiguousness: [[0.74548805 0.25451195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.85270208090546]
Predicted rank: [0], ambiguousness: [[0.8260352  0.17396478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.75357690982051]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.75987103014768]
Predicted rank: [0], ambiguousness: [[0.874272   0.12572804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.75991292786415]
Predicted rank: [0], ambiguousness: [[0.7950808  0.20491923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.94678954147163]
Predicted rank: [0], ambiguousness: [[0.82022786 0.17977215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.01823246548885]
Predicted rank: [0], ambiguousness: [[0.8995666 0.1004334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.94215869479237]
Predicted rank: [0], ambiguousness: [[0.72540426 0.27459574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.81726392695306]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.23194003465255]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.33797435439882]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.85263053947236]
Predicted rank: [0], ambiguousness: [[0.82371044 0.17628959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.01912693461375]
Predicted rank: [0], ambiguousness: [[0.92849374 0.07150628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.13467181978274]
Predicted rank: [0], ambiguousness: [[0.8317356  0.16826436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.1256826529237]
Predicted rank: [0], ambiguousness: [[0.65896475 0.34103522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.28663008713745]
Predicted rank: [0], ambiguousness: [[0.8879385  0.11206149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.46545416754645]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.61557956615238]
Predicted rank: [0], ambiguousness: [[0.657524   0.34247598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.75309581812154]
Predicted rank: [0], ambiguousness: [[0.7570474  0.24295257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.2544940444637]
Predicted rank: [0], ambiguousness: [[0.8196072  0.18039279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.17980209739085]
Predicted rank: [0], ambiguousness: [[0.71070975 0.28929025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.08661804412392]
Predicted rank: [0], ambiguousness: [[0.89338905 0.10661098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.10238726191434]
Predicted rank: [0], ambiguousness: [[0.84411836 0.15588167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.27986942236637]
Predicted rank: [0], ambiguousness: [[0.81174004 0.18825994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.34833443578884]
Predicted rank: [0], ambiguousness: [[0.909341   0.09065904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.56067719097499]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.39131933502817]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.88966936131939]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.00764251667078]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.72776801298474]
Predicted rank: [0], ambiguousness: [[0.78636026 0.21363972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.90310465216962]
Predicted rank: [0], ambiguousness: [[0.9245802  0.07541977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.02875793168565]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.59043963458825]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.85344401744227]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.19588271525467]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.76782086968163]
Predicted rank: [0], ambiguousness: [[0.7897174  0.21028262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.92836370663855]
Predicted rank: [0], ambiguousness: [[0.65110266 0.34889734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 105.72401359962535]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.75163147291609]
Predicted rank: [0], ambiguousness: [[0.862482 0.137518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.98198258237673]
Predicted rank: [0], ambiguousness: [[0.88542217 0.11457781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.02910904588245]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.21049234913582]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.75008280874067]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.64686892422338]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.67653340654843]
Predicted rank: [0], ambiguousness: [[0.88624173 0.11375827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.67469549806063]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.86287896204797]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.93473792729942]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.88061151841384]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.7548237010478]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.1705944693214]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.27682794819655]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.79406222283035]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.96076541345593]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.0765413533731]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.07410870011594]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.23505535601758]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.41387812191613]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.56400243000044]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.15648818811813]
Predicted rank: [0], ambiguousness: [[0.737428 0.262572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.71142510531632]
Predicted rank: [0], ambiguousness: [[0.819108   0.18089198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.60327126356135]
Predicted rank: [0], ambiguousness: [[0.71001583 0.28998417]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.68604216812994]
Predicted rank: [0], ambiguousness: [[0.88051915 0.11948086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.68460904055209]
Predicted rank: [0], ambiguousness: [[0.79812884 0.20187113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.8726064393376]
Predicted rank: [0], ambiguousness: [[0.7974198 0.2025802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.94446616835766]
Predicted rank: [0], ambiguousness: [[0.9011078 0.0988922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.03686480045448]
Predicted rank: [0], ambiguousness: [[0.7235961  0.27640387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.83145280040476]
Predicted rank: [0], ambiguousness: [[0.6118698 0.3881302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.37907771541029]
Predicted rank: [0], ambiguousness: [[0.72222304 0.27777696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.50548650812635]
Predicted rank: [0], ambiguousness: [[0.8913269  0.10867309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.3428592688399]
Predicted rank: [0], ambiguousness: [[0.81342846 0.18657152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.5264149530139]
Predicted rank: [0], ambiguousness: [[0.92375755 0.07624248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.66094277767166]
Predicted rank: [0], ambiguousness: [[0.82579964 0.17420036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.25524937977539]
Predicted rank: [0], ambiguousness: [[0.57076883 0.4292312 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.52758905218874]
Predicted rank: [0], ambiguousness: [[0.8450324  0.15496759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.88679022054825]
Predicted rank: [0], ambiguousness: [[0.7748513 0.2251487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.50162794919467]
Predicted rank: [0], ambiguousness: [[0.8130977  0.18690227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.7934847345619]
Predicted rank: [0], ambiguousness: [[0.6497364 0.3502636]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.48219701637423]
Predicted rank: [0], ambiguousness: [[0.71136105 0.28863898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.30646074505466]
Predicted rank: [0], ambiguousness: [[0.6168519 0.3831481]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.81875622249026]
Predicted rank: [0], ambiguousness: [[0.71105623 0.2889438 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.9384653620777]
Predicted rank: [0], ambiguousness: [[0.8930939  0.10690609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.6977174106141]
Predicted rank: [0], ambiguousness: [[0.8281065  0.17189345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.87362917907802]
Predicted rank: [0], ambiguousness: [[0.94307435 0.05692565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.99978246432192]
Predicted rank: [0], ambiguousness: [[0.8289704  0.17102964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.76959127092155]
Predicted rank: [0], ambiguousness: [[0.55864835 0.44135162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.08050886392186]
Predicted rank: [0], ambiguousness: [[0.84785557 0.1521444 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.52336999279139]
Predicted rank: [0], ambiguousness: [[0.7771437  0.22285628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.36649830182785]
Predicted rank: [0], ambiguousness: [[0.787586   0.21241404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.12599810335178]
Predicted rank: [0], ambiguousness: [[0.56621677 0.43378323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.09016090977426]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 105.6526767079105]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.5411650779892]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.64896494893672]
Predicted rank: [0], ambiguousness: [[0.8651951  0.13480489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.64662033859472]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.83534263435092]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.90744070085748]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.00372627937129]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.79582327560367]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.3478708535352]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.47494130757572]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.3237941428033]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.50784240607925]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.64289623683439]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.2530859478667]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.52541028114075]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.88465452268107]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.49976472754732]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.79132972251583]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 104.92419455270326]
Predicted rank: [0], ambiguousness: [[0.7145454  0.28545457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.70851251710525]
Predicted rank: [0], ambiguousness: [[0.58872926 0.4112707 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.27998998475326]
Predicted rank: [0], ambiguousness: [[0.70756155 0.29243845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.4092658275028]
Predicted rank: [0], ambiguousness: [[0.8941066 0.1058934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.31495542785817]
Predicted rank: [0], ambiguousness: [[0.8064972  0.19350277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.4991941369801]
Predicted rank: [0], ambiguousness: [[0.9314228  0.06857719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.63422520190957]
Predicted rank: [0], ambiguousness: [[0.81318784 0.18681219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.22878486178611]
Predicted rank: [0], ambiguousness: [[0.5583483  0.44165167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.56268756615741]
Predicted rank: [0], ambiguousness: [[0.8382998  0.16170019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.05125697381732]
Predicted rank: [0], ambiguousness: [[0.7659143  0.23408568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.01864864024336]
Predicted rank: [0], ambiguousness: [[0.7952306  0.20476939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.82407759500734]
Predicted rank: [0], ambiguousness: [[0.55050635 0.44949365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.70684083220942]
Predicted rank: [0], ambiguousness: [[0.5458049  0.45419508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.02344272373512]
Predicted rank: [0], ambiguousness: [[0.8553456 0.1446544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.47990531896552]
Predicted rank: [0], ambiguousness: [[0.7737598  0.22624023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.36500176122945]
Predicted rank: [0], ambiguousness: [[0.8257569  0.17424309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.28433792204709]
Predicted rank: [0], ambiguousness: [[0.562837 0.437163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.17994507566445]
Predicted rank: [0], ambiguousness: [[0.7168251 0.2831749]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 103.9775345683568]
Predicted rank: [0], ambiguousness: [[0.5831304  0.41686958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.53296824332071]
Predicted rank: [0], ambiguousness: [[0.731215   0.26878503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.65934755927019]
Predicted rank: [0], ambiguousness: [[0.9009649  0.09903511]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.52897300772379]
Predicted rank: [0], ambiguousness: [[0.8069825  0.19301748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.71013892413472]
Predicted rank: [0], ambiguousness: [[0.92710525 0.07289474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.84188987503715]
Predicted rank: [0], ambiguousness: [[0.80861497 0.19138502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.5033047658638]
Predicted rank: [0], ambiguousness: [[0.61744726 0.38255277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.8295562977659]
Predicted rank: [0], ambiguousness: [[0.84092724 0.15907274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.30362081997876]
Predicted rank: [0], ambiguousness: [[0.78275615 0.21724384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.2339858846729]
Predicted rank: [0], ambiguousness: [[0.8146812 0.1853188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.04383718044687]
Predicted rank: [0], ambiguousness: [[0.57423097 0.42576903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.38371280245096]
Predicted rank: [0], ambiguousness: [[0.5523952  0.44760475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.7177032883888]
Predicted rank: [0], ambiguousness: [[0.8387292  0.16127081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.21059632486681]
Predicted rank: [0], ambiguousness: [[0.7649516  0.23504844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.20000119288606]
Predicted rank: [0], ambiguousness: [[0.806342   0.19365796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.01454185114494]
Predicted rank: [0], ambiguousness: [[0.52897596 0.47102407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.38630190396563]
Predicted rank: [0], ambiguousness: [[0.54298925 0.45701075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.99077926353067]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.9110158772123]
Predicted rank: [0], ambiguousness: [[0.60775965 0.39224035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.9995202612308]
Predicted rank: [0], ambiguousness: [[0.7391747  0.26082525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.68063148100316]
Predicted rank: [0], ambiguousness: [[0.75560135 0.24439867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.82842279097346]
Predicted rank: [0], ambiguousness: [[0.70011854 0.2998815 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.92181946682172]
Predicted rank: [0], ambiguousness: [[0.7028728 0.2971272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.34543133370178]
Predicted rank: [0], ambiguousness: [[0.58358705 0.41641292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.87313677611124]
Predicted rank: [0], ambiguousness: [[0.641379   0.35862097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.86372079201462]
Predicted rank: [0], ambiguousness: [[0.7800012  0.21999878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.59975300871844]
Predicted rank: [0], ambiguousness: [[0.7882198  0.21178022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.74837842756384]
Predicted rank: [0], ambiguousness: [[0.7433237 0.2566763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.8421205485393]
Predicted rank: [0], ambiguousness: [[0.7411493 0.2588507]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.2650080579977]
Predicted rank: [0], ambiguousness: [[0.6410925  0.35890752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.79830029560021]
Predicted rank: [0], ambiguousness: [[0.7621373  0.23786268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.39883375010008]
Predicted rank: [0], ambiguousness: [[0.78771013 0.21228985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.78032177992355]
Predicted rank: [0], ambiguousness: [[0.8403613 0.1596387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.91519391003465]
Predicted rank: [0], ambiguousness: [[0.85387826 0.14612173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.26772544183231]
Predicted rank: [0], ambiguousness: [[0.75238794 0.24761207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.4362621297173]
Predicted rank: [0], ambiguousness: [[0.7674936  0.23250641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.60030475518707]
Predicted rank: [0], ambiguousness: [[0.80616575 0.19383423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.98850653044616]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.7312533547379]
Predicted rank: [0], ambiguousness: [[0.738791 0.261209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.13017267096782]
Predicted rank: [0], ambiguousness: [[0.70604455 0.29395545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.19352072717382]
Predicted rank: [0], ambiguousness: [[0.70439196 0.29560807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.22131164143008]
Predicted rank: [0], ambiguousness: [[0.8688673 0.1311327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.82370168052546]
Predicted rank: [0], ambiguousness: [[0.79031444 0.20968555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.56262364354714]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.71124906239254]
Predicted rank: [0], ambiguousness: [[0.74270093 0.25729907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.804991183368]
Predicted rank: [0], ambiguousness: [[0.7454585  0.25454152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.2278786928264]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.60861906675828]
Predicted rank: [0], ambiguousness: [[0.7860427  0.21395732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.24069468878315]
Predicted rank: [0], ambiguousness: [[0.7849164  0.21508363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.64148409903275]
Predicted rank: [0], ambiguousness: [[0.8591224  0.14087763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.77912416039308]
Predicted rank: [0], ambiguousness: [[0.8752057  0.12479432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.12693637342008]
Predicted rank: [0], ambiguousness: [[0.7933912  0.20660876]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.35515336633208]
Predicted rank: [0], ambiguousness: [[0.77267957 0.22732045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.51998472804223]
Predicted rank: [0], ambiguousness: [[0.80440855 0.19559145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.90731485038044]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.65172331898313]
Predicted rank: [0], ambiguousness: [[0.7432012 0.2567988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.04985537844215]
Predicted rank: [0], ambiguousness: [[0.723646 0.276354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.11353819424039]
Predicted rank: [0], ambiguousness: [[0.713853 0.286147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14144152157196]
Predicted rank: [0], ambiguousness: [[0.8583207  0.14167926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.76991679872508]
Predicted rank: [0], ambiguousness: [[0.7975496 0.2024504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.05540384130727]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.56756796996379]
Predicted rank: [0], ambiguousness: [[0.8471007  0.15289934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.7117238770555]
Predicted rank: [0], ambiguousness: [[0.861512 0.138488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.0522380134855]
Predicted rank: [0], ambiguousness: [[0.7662349  0.23376514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.02810531331679]
Predicted rank: [0], ambiguousness: [[0.6954826  0.30451742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.29292732620371]
Predicted rank: [0], ambiguousness: [[0.7855705  0.21442947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.5767009269282]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.65607322755807]
Predicted rank: [0], ambiguousness: [[0.8527322  0.14726785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.97758943440644]
Predicted rank: [0], ambiguousness: [[0.83792895 0.16207105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.08213137178693]
Predicted rank: [0], ambiguousness: [[0.8468681  0.15313189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.12379270721587]
Predicted rank: [0], ambiguousness: [[0.9221925  0.07780751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.31417945559659]
Predicted rank: [0], ambiguousness: [[0.73669547 0.26330453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.6649226055871]
Predicted rank: [0], ambiguousness: [[0.74897933 0.25102067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.81137731550248]
Predicted rank: [0], ambiguousness: [[0.7932445  0.20675553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.8523641768678]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.91663309245382]
Predicted rank: [0], ambiguousness: [[0.7039002  0.29609975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.98950320257421]
Predicted rank: [0], ambiguousness: [[0.90449923 0.09550075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.02353632542933]
Predicted rank: [0], ambiguousness: [[0.72256446 0.2774355 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55899562271358]
Predicted rank: [0], ambiguousness: [[0.7865868  0.21341318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.20157149796162]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.60357540683663]
Predicted rank: [0], ambiguousness: [[0.8595139  0.14048614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.74134501529646]
Predicted rank: [0], ambiguousness: [[0.880045   0.11995502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.08895382584967]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.32030827417361]
Predicted rank: [0], ambiguousness: [[0.7727562  0.22724378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.48513963588377]
Predicted rank: [0], ambiguousness: [[0.81097245 0.18902753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.872469758222]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.61687822682467]
Predicted rank: [0], ambiguousness: [[0.7637799  0.23622009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.01501028628368]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.07869310208193]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.10659642941349]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55840184232292]
Predicted rank: [0], ambiguousness: [[0.78350246 0.21649756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.80465539398406]
Predicted rank: [0], ambiguousness: [[0.7849164  0.21508363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.37321264553526]
Predicted rank: [0], ambiguousness: [[0.8513247  0.14867531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.52248820385194]
Predicted rank: [0], ambiguousness: [[0.87126803 0.128732  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.85528119962886]
Predicted rank: [0], ambiguousness: [[0.7897037  0.21029627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.86213218778681]
Predicted rank: [0], ambiguousness: [[0.7024238  0.29757616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.13514328059034]
Predicted rank: [0], ambiguousness: [[0.7869939  0.21300606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.4115676818123]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.51765019957126]
Predicted rank: [0], ambiguousness: [[0.87157005 0.12842996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.83401313670038]
Predicted rank: [0], ambiguousness: [[0.85485363 0.14514638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.94132241418698]
Predicted rank: [0], ambiguousness: [[0.86896706 0.13103291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.98388221092156]
Predicted rank: [0], ambiguousness: [[0.9277853  0.07221471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23491958907951]
Predicted rank: [0], ambiguousness: [[0.73833525 0.26166475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.58466583459017]
Predicted rank: [0], ambiguousness: [[0.76553047 0.23446956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.73199597786848]
Predicted rank: [0], ambiguousness: [[0.80378854 0.19621149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.77315491313001]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.83803217628768]
Predicted rank: [0], ambiguousness: [[0.7242567 0.2757433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.91117073470568]
Predicted rank: [0], ambiguousness: [[0.9040246  0.09597542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.94549276440696]
Predicted rank: [0], ambiguousness: [[0.7231755 0.2768245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.00962082842504]
Predicted rank: [0], ambiguousness: [[0.78343785 0.21656215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.54097794076876]
Predicted rank: [0], ambiguousness: [[0.89430356 0.10569641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.68545945175731]
Predicted rank: [0], ambiguousness: [[0.87132883 0.1286712 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.02557593013708]
Predicted rank: [0], ambiguousness: [[0.7918111  0.20818889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.62735360248207]
Predicted rank: [0], ambiguousness: [[0.6954826  0.30451742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.94331139220932]
Predicted rank: [0], ambiguousness: [[0.7855705  0.21442947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.19897609154722]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.43974958158329]
Predicted rank: [0], ambiguousness: [[0.84984976 0.15015024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.74806461896485]
Predicted rank: [0], ambiguousness: [[0.834813   0.16518703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.86226129220628]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.90687528990034]
Predicted rank: [0], ambiguousness: [[0.92346525 0.07653473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.85837404160159]
Predicted rank: [0], ambiguousness: [[0.6602092  0.33979082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.08672484019125]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.34322059971905]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.41026094918129]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.70482323858678]
Predicted rank: [0], ambiguousness: [[0.84081197 0.15918802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.81243702055818]
Predicted rank: [0], ambiguousness: [[0.94895107 0.05104892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.88243176718215]
Predicted rank: [0], ambiguousness: [[0.8602364  0.13976358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.39676405797998]
Predicted rank: [0], ambiguousness: [[0.7173846 0.2826154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.50498344294573]
Predicted rank: [0], ambiguousness: [[0.92193055 0.07806943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.62083689879609]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.71326095060682]
Predicted rank: [0], ambiguousness: [[0.72180486 0.2781951 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.50272582329195]
Predicted rank: [0], ambiguousness: [[0.7711465  0.22885354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.75255852539567]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.33020574577597]
Predicted rank: [0], ambiguousness: [[0.8517341 0.1482659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.4800909960476]
Predicted rank: [0], ambiguousness: [[0.8762384  0.12376162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.81207414528382]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.82955352764054]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.1030281285685]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.37910626646766]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.48671702629738]
Predicted rank: [0], ambiguousness: [[0.88376284 0.11623717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.80286653716959]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.91030184152348]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.95290103075772]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.20700640103155]
Predicted rank: [0], ambiguousness: [[0.7464175  0.25358245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.55675322764638]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.7040828440499]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.74524167599645]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.81011860686912]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.88325700127851]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.91757885756283]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.7238684564953]
Predicted rank: [0], ambiguousness: [[0.78286505 0.21713497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.32808790610274]
Predicted rank: [0], ambiguousness: [[0.86067647 0.13932355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.47797278819917]
Predicted rank: [0], ambiguousness: [[0.86076385 0.13923617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.81002338302915]
Predicted rank: [0], ambiguousness: [[0.7763926  0.22360739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.35620628988892]
Predicted rank: [0], ambiguousness: [[0.70052683 0.29947317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.69434581042911]
Predicted rank: [0], ambiguousness: [[0.78547144 0.21452858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.93515150940692]
Predicted rank: [0], ambiguousness: [[0.7848198  0.21518023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.24794682993782]
Predicted rank: [0], ambiguousness: [[0.8636173  0.13638268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.5478339269394]
Predicted rank: [0], ambiguousness: [[0.8460486 0.1539514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.66722976412989]
Predicted rank: [0], ambiguousness: [[0.86412996 0.13587002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.71350692099338]
Predicted rank: [0], ambiguousness: [[0.9258451  0.07415491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.69448345099997]
Predicted rank: [0], ambiguousness: [[0.6600772 0.3399228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.9140651381982]
Predicted rank: [0], ambiguousness: [[0.692013   0.30798694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.17972168401731]
Predicted rank: [0], ambiguousness: [[0.78480744 0.21519259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.24863697677242]
Predicted rank: [0], ambiguousness: [[0.9200301  0.07996988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.56302128644894]
Predicted rank: [0], ambiguousness: [[0.8669001  0.13309994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.672881529004]
Predicted rank: [0], ambiguousness: [[0.9503133  0.04968667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.74531016563753]
Predicted rank: [0], ambiguousness: [[0.8732617  0.12673832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.32137012099126]
Predicted rank: [0], ambiguousness: [[0.72869563 0.2713044 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.43007927980933]
Predicted rank: [0], ambiguousness: [[0.92087746 0.07912252]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.54677082129965]
Predicted rank: [0], ambiguousness: [[0.82839566 0.17160434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.63995813766131]
Predicted rank: [0], ambiguousness: [[0.7274276  0.27257243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.57967205651374]
Predicted rank: [0], ambiguousness: [[0.71665204 0.28334796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.90223170806779]
Predicted rank: [0], ambiguousness: [[0.7858219  0.21417806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.15530142821876]
Predicted rank: [0], ambiguousness: [[0.7763294  0.22367062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.41849453671657]
Predicted rank: [0], ambiguousness: [[0.8810663  0.11893369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.72638484630477]
Predicted rank: [0], ambiguousness: [[0.8863054  0.11369463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.84091142961469]
Predicted rank: [0], ambiguousness: [[0.8593289  0.14067109]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.88564745486684]
Predicted rank: [0], ambiguousness: [[0.9342562 0.0657438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.44312733394023]
Predicted rank: [0], ambiguousness: [[0.6618179 0.3381821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.63564533959592]
Predicted rank: [0], ambiguousness: [[0.67605895 0.32394105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.9523003218053]
Predicted rank: [0], ambiguousness: [[0.7763628  0.22363722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.02857255835823]
Predicted rank: [0], ambiguousness: [[0.9237495  0.07625052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.46807535343508]
Predicted rank: [0], ambiguousness: [[0.8390929 0.1609071]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.58348670657955]
Predicted rank: [0], ambiguousness: [[0.9483281  0.05167194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.6622877256506]
Predicted rank: [0], ambiguousness: [[0.86198586 0.13801412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.71374851688839]
Predicted rank: [0], ambiguousness: [[0.63970125 0.36029875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.88624303700091]
Predicted rank: [0], ambiguousness: [[0.8920076 0.1079924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.1050076435709]
Predicted rank: [0], ambiguousness: [[0.8302623  0.16973767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.46017446917726]
Predicted rank: [0], ambiguousness: [[0.8417882  0.15821184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.15856602328353]
Predicted rank: [0], ambiguousness: [[0.72501147 0.2749885 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.68925229614811]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.30435355096643]
Predicted rank: [0], ambiguousness: [[0.8526801  0.14731994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.45461979360611]
Predicted rank: [0], ambiguousness: [[0.8527716  0.14722842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.78621112353349]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.33487380635952]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.6750005380826]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.91478445343823]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.2341224203149]
Predicted rank: [0], ambiguousness: [[0.877134 0.122866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.53360688293935]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.65332263333616]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.69970089954558]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.68845764601954]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.90803573686709]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.17377262010987]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.24269439163024]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.5573490271509]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.66720354881232]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.739629437415]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.31601296142964]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.42469811180476]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.54134890196426]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.63449648498988]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.2875821640305]
Predicted rank: [0], ambiguousness: [[0.6921994 0.3078006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.636758387056]
Predicted rank: [0], ambiguousness: [[0.7829555  0.21704447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.8734619252213]
Predicted rank: [0], ambiguousness: [[0.77337253 0.22662745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.22401315924856]
Predicted rank: [0], ambiguousness: [[0.8650296 0.1349704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.52347703653662]
Predicted rank: [0], ambiguousness: [[0.8484651  0.15153494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.64326142707245]
Predicted rank: [0], ambiguousness: [[0.8458268  0.15417318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.68969328812148]
Predicted rank: [0], ambiguousness: [[0.92700624 0.07299374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.18720902465853]
Predicted rank: [0], ambiguousness: [[0.6486502  0.35134977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.3621000936624]
Predicted rank: [0], ambiguousness: [[0.681141   0.31885895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.70331465456871]
Predicted rank: [0], ambiguousness: [[0.7761514  0.22384855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.78379890787048]
Predicted rank: [0], ambiguousness: [[0.9162328  0.08376717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.2818747210483]
Predicted rank: [0], ambiguousness: [[0.8532479  0.14675209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.40138144011014]
Predicted rank: [0], ambiguousness: [[0.94467086 0.05532912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.48462981471701]
Predicted rank: [0], ambiguousness: [[0.8634221 0.1365779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.55303762456401]
Predicted rank: [0], ambiguousness: [[0.63942075 0.36057925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.73019248661544]
Predicted rank: [0], ambiguousness: [[0.8848483  0.11515173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.95733903598487]
Predicted rank: [0], ambiguousness: [[0.8210933 0.1789067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.33396790852757]
Predicted rank: [0], ambiguousness: [[0.852975   0.14702497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.09837173320251]
Predicted rank: [0], ambiguousness: [[0.7121283  0.28787175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.40729037052247]
Predicted rank: [0], ambiguousness: [[0.6500963 0.3499037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.59639891862957]
Predicted rank: [0], ambiguousness: [[0.6935626  0.30643734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.92081085310949]
Predicted rank: [0], ambiguousness: [[0.7729704 0.2270296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.99804104009486]
Predicted rank: [0], ambiguousness: [[0.9203698  0.07963018]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.45950695634914]
Predicted rank: [0], ambiguousness: [[0.8695412  0.13045877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.57521173207721]
Predicted rank: [0], ambiguousness: [[0.96034914 0.03965085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.65426283278397]
Predicted rank: [0], ambiguousness: [[0.87022936 0.1297706 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.23269593912201]
Predicted rank: [0], ambiguousness: [[0.63652647 0.3634735 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.43349939146117]
Predicted rank: [0], ambiguousness: [[0.8906761  0.10932392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.71176478640811]
Predicted rank: [0], ambiguousness: [[0.8283161  0.17168394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.22782099644859]
Predicted rank: [0], ambiguousness: [[0.8368638  0.16313617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.40664724584761]
Predicted rank: [0], ambiguousness: [[0.64361143 0.3563886 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.40237382804071]
Predicted rank: [0], ambiguousness: [[0.6640339  0.33596614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.74529399943869]
Predicted rank: [0], ambiguousness: [[0.78485334 0.21514666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.98685889370637]
Predicted rank: [0], ambiguousness: [[0.7932583  0.20674172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.31735092327185]
Predicted rank: [0], ambiguousness: [[0.85255706 0.14744294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.6199683195685]
Predicted rank: [0], ambiguousness: [[0.84547406 0.15452594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.73804575096123]
Predicted rank: [0], ambiguousness: [[0.85550386 0.14449616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.78392152466805]
Predicted rank: [0], ambiguousness: [[0.9292457  0.07075429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.30271698359856]
Predicted rank: [0], ambiguousness: [[0.6794739  0.32052612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.48331719044566]
Predicted rank: [0], ambiguousness: [[0.6944821 0.3055179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.8177456671908]
Predicted rank: [0], ambiguousness: [[0.81572425 0.18427572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.89697489383158]
Predicted rank: [0], ambiguousness: [[0.92771065 0.07228934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.3801604628811]
Predicted rank: [0], ambiguousness: [[0.8841289  0.11587108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.49828857268432]
Predicted rank: [0], ambiguousness: [[0.94568187 0.05431812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.58005186383849]
Predicted rank: [0], ambiguousness: [[0.8698237  0.13017634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.65313658008223]
Predicted rank: [0], ambiguousness: [[0.6936239 0.3063761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.82832885665448]
Predicted rank: [0], ambiguousness: [[0.88682145 0.11317856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.05207143540511]
Predicted rank: [0], ambiguousness: [[0.8348214  0.16517861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.42063577587231]
Predicted rank: [0], ambiguousness: [[0.8678521  0.13214791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.16126725932384]
Predicted rank: [0], ambiguousness: [[0.7314832  0.26851678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.24288978242257]
Predicted rank: [0], ambiguousness: [[0.64618886 0.35381117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.41901513397397]
Predicted rank: [0], ambiguousness: [[0.6704881  0.32951185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.76403941194904]
Predicted rank: [0], ambiguousness: [[0.771935   0.22806498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.84453911754483]
Predicted rank: [0], ambiguousness: [[0.91873926 0.08126076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.3582848621257]
Predicted rank: [0], ambiguousness: [[0.85951    0.14048998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.47669439125869]
Predicted rank: [0], ambiguousness: [[0.9527528  0.04724717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.5586535283532]
Predicted rank: [0], ambiguousness: [[0.85947347 0.14052653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.0780023418707]
Predicted rank: [0], ambiguousness: [[0.62946457 0.37053543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.28657849844582]
Predicted rank: [0], ambiguousness: [[0.8757171  0.12428292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.58057236022418]
Predicted rank: [0], ambiguousness: [[0.8080035 0.1919965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.14034182042191]
Predicted rank: [0], ambiguousness: [[0.83319664 0.16680336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.34084450606093]
Predicted rank: [0], ambiguousness: [[0.6116904  0.38830963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.2694245953977]
Predicted rank: [0], ambiguousness: [[0.62802905 0.37197095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.47134453628966]
Predicted rank: [0], ambiguousness: [[0.8936507 0.1063493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.75334395662483]
Predicted rank: [0], ambiguousness: [[0.82141256 0.17858742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.2833046088704]
Predicted rank: [0], ambiguousness: [[0.86398095 0.13601904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.97618491811119]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.91096894960401]
Predicted rank: [0], ambiguousness: [[0.6238248  0.37617522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.99947333362255]
Predicted rank: [0], ambiguousness: [[0.74615306 0.25384694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.6805845533949]
Predicted rank: [0], ambiguousness: [[0.77505225 0.22494774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.82837586336521]
Predicted rank: [0], ambiguousness: [[0.74915564 0.25084436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.92177253921345]
Predicted rank: [0], ambiguousness: [[0.7249929 0.2750071]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.34538440609352]
Predicted rank: [0], ambiguousness: [[0.60965586 0.39034414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.87288388313283]
Predicted rank: [0], ambiguousness: [[0.6266895 0.3733105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.8634678990362]
Predicted rank: [0], ambiguousness: [[0.7629031 0.2370969]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.59950011574004]
Predicted rank: [0], ambiguousness: [[0.77055764 0.22944236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.74812553458544]
Predicted rank: [0], ambiguousness: [[0.72323203 0.27676794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.84186765556089]
Predicted rank: [0], ambiguousness: [[0.7209513  0.27904865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.2647551650193]
Predicted rank: [0], ambiguousness: [[0.6171205 0.3828795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.79804740262182]
Predicted rank: [0], ambiguousness: [[0.74621296 0.253787  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.39858085712166]
Predicted rank: [0], ambiguousness: [[0.770018   0.22998205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.78006888694514]
Predicted rank: [0], ambiguousness: [[0.8320942  0.16790581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.91494101705624]
Predicted rank: [0], ambiguousness: [[0.84282917 0.15717085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.26747254885389]
Predicted rank: [0], ambiguousness: [[0.7338759 0.2661241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.4360092367389]
Predicted rank: [0], ambiguousness: [[0.7486541  0.25134584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.60005186220866]
Predicted rank: [0], ambiguousness: [[0.7896008  0.21039921]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.98825363746775]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73100046175949]
Predicted rank: [0], ambiguousness: [[0.7184789 0.2815211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.12991977798941]
Predicted rank: [0], ambiguousness: [[0.6842743 0.3157257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.19326783419541]
Predicted rank: [0], ambiguousness: [[0.6825543 0.3174457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.22105874845168]
Predicted rank: [0], ambiguousness: [[0.8590677  0.14093232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.82269859813489]
Predicted rank: [0], ambiguousness: [[0.73427474 0.26572528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.56162056115657]
Predicted rank: [0], ambiguousness: [[0.75657755 0.24342246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.71024598000197]
Predicted rank: [0], ambiguousness: [[0.7074631 0.2925369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.80398810097742]
Predicted rank: [0], ambiguousness: [[0.7137271  0.28627288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.22687561043583]
Predicted rank: [0], ambiguousness: [[0.6091261  0.39087394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.6076159843677]
Predicted rank: [0], ambiguousness: [[0.7391157  0.26088428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.23969160639257]
Predicted rank: [0], ambiguousness: [[0.7636907 0.2363093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.64048101664218]
Predicted rank: [0], ambiguousness: [[0.82602656 0.17397344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.7781210780025]
Predicted rank: [0], ambiguousness: [[0.8439524  0.15604757]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.1259332910295]
Predicted rank: [0], ambiguousness: [[0.74545914 0.25454086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.3541502839415]
Predicted rank: [0], ambiguousness: [[0.7476268 0.2523732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.51898164565166]
Predicted rank: [0], ambiguousness: [[0.7845785  0.21542148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.90631176798988]
Predicted rank: [0], ambiguousness: [[0.7652188  0.23478119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.65072023659255]
Predicted rank: [0], ambiguousness: [[0.71933085 0.28066915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.04885229605158]
Predicted rank: [0], ambiguousness: [[0.6953201  0.30467987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.11253511184981]
Predicted rank: [0], ambiguousness: [[0.68839836 0.3116016 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.1404384391814]
Predicted rank: [0], ambiguousness: [[0.8473999  0.15260012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.76891371633451]
Predicted rank: [0], ambiguousness: [[0.75235134 0.24764866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.0544007589167]
Predicted rank: [0], ambiguousness: [[0.7631398  0.23686022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.56656488757324]
Predicted rank: [0], ambiguousness: [[0.807866 0.192134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.71072079466495]
Predicted rank: [0], ambiguousness: [[0.82750523 0.17249478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.05123493109494]
Predicted rank: [0], ambiguousness: [[0.7165302 0.2834698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.0271022309262]
Predicted rank: [0], ambiguousness: [[0.66560394 0.33439606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.29192424381314]
Predicted rank: [0], ambiguousness: [[0.76439    0.23561001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.57569784453761]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.65507014516751]
Predicted rank: [0], ambiguousness: [[0.8208146  0.17918536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.97658635201589]
Predicted rank: [0], ambiguousness: [[0.8010075  0.19899249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.08112828939636]
Predicted rank: [0], ambiguousness: [[0.8100582  0.18994182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.12278962482532]
Predicted rank: [0], ambiguousness: [[0.90343904 0.09656096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.31317637320602]
Predicted rank: [0], ambiguousness: [[0.7124543  0.28754565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.66391952319654]
Predicted rank: [0], ambiguousness: [[0.72225344 0.27774653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.81037423311193]
Predicted rank: [0], ambiguousness: [[0.77260256 0.22739747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.85136109447724]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.91563001006325]
Predicted rank: [0], ambiguousness: [[0.6779597  0.32204032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.98850012018366]
Predicted rank: [0], ambiguousness: [[0.89148915 0.10851087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.02253324303878]
Predicted rank: [0], ambiguousness: [[0.6975565  0.30244353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55569800890572]
Predicted rank: [0], ambiguousness: [[0.7507332  0.24926682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.19828243619371]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.60028683464942]
Predicted rank: [0], ambiguousness: [[0.8368333  0.16316669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.7380564928655]
Predicted rank: [0], ambiguousness: [[0.85703874 0.14296126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.08566522651513]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31702086321098]
Predicted rank: [0], ambiguousness: [[0.74701095 0.25298905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.48185222492116]
Predicted rank: [0], ambiguousness: [[0.78837115 0.21162887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.86918234725937]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.61359081586204]
Predicted rank: [0], ambiguousness: [[0.73736334 0.26263663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.01172287532108]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.07540569111931]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.10330901845089]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55516543254967]
Predicted rank: [0], ambiguousness: [[0.74729717 0.25270286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.80141898421078]
Predicted rank: [0], ambiguousness: [[0.7601211  0.23987886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.36997623576201]
Predicted rank: [0], ambiguousness: [[0.8239123  0.17608766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.51925179407867]
Predicted rank: [0], ambiguousness: [[0.8468713 0.1531287]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.8520447898556]
Predicted rank: [0], ambiguousness: [[0.7542101  0.24578989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.85889577801356]
Predicted rank: [0], ambiguousness: [[0.6720916 0.3279084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.13190687081709]
Predicted rank: [0], ambiguousness: [[0.7623657  0.23763429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.40833127203905]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.514413789798]
Predicted rank: [0], ambiguousness: [[0.8504973  0.14950268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.83077672692711]
Predicted rank: [0], ambiguousness: [[0.8315681  0.16843188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.93808600441372]
Predicted rank: [0], ambiguousness: [[0.8442123 0.1557877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.98064580114828]
Predicted rank: [0], ambiguousness: [[0.9121454  0.08785462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23168317930623]
Predicted rank: [0], ambiguousness: [[0.710153 0.289847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.5814294248169]
Predicted rank: [0], ambiguousness: [[0.7392428 0.2607572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.72875956809523]
Predicted rank: [0], ambiguousness: [[0.7805606  0.21943939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.76991850335676]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.83479576651442]
Predicted rank: [0], ambiguousness: [[0.6951842  0.30481583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.9079343249324]
Predicted rank: [0], ambiguousness: [[0.8910545  0.10894551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.9422563546337]
Predicted rank: [0], ambiguousness: [[0.6940371 0.3059629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.00638441865178]
Predicted rank: [0], ambiguousness: [[0.75852454 0.24147545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.53774153099548]
Predicted rank: [0], ambiguousness: [[0.87363935 0.12636064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.68222304198405]
Predicted rank: [0], ambiguousness: [[0.8469416 0.1530584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.02233952036383]
Predicted rank: [0], ambiguousness: [[0.75656354 0.24343646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.62411719270881]
Predicted rank: [0], ambiguousness: [[0.66478044 0.33521956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.94007498243606]
Predicted rank: [0], ambiguousness: [[0.7608277  0.23917228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.19573968177397]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.43651317181002]
Predicted rank: [0], ambiguousness: [[0.82222223 0.17777778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.74482820919158]
Predicted rank: [0], ambiguousness: [[0.80505335 0.19494663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.859024882433]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.90363888012709]
Predicted rank: [0], ambiguousness: [[0.9079153  0.09208473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.85513763182833]
Predicted rank: [0], ambiguousness: [[0.62785363 0.37214634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.08348843041799]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.3399841899458]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.40702453940804]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.70158682881353]
Predicted rank: [0], ambiguousness: [[0.8157593  0.18424067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.80920061078491]
Predicted rank: [0], ambiguousness: [[0.93969655 0.06030347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.87919535740889]
Predicted rank: [0], ambiguousness: [[0.8341471  0.16585293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.39352764820671]
Predicted rank: [0], ambiguousness: [[0.6878997  0.31210026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.50174703317246]
Predicted rank: [0], ambiguousness: [[0.9111424  0.08885758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6176004890228]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.71002454083356]
Predicted rank: [0], ambiguousness: [[0.69258356 0.30741644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.49160540848675]
Predicted rank: [0], ambiguousness: [[0.73357743 0.26642257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.74155411519644]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31951172190394]
Predicted rank: [0], ambiguousness: [[0.8243817  0.17561832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.46941837413351]
Predicted rank: [0], ambiguousness: [[0.85262436 0.14737566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.80137257460308]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.81919294544383]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.09268636045137]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.36874967155181]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.47642235735125]
Predicted rank: [0], ambiguousness: [[0.8643794 0.1356206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.79256234589973]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.90000311101191]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.9426040231383]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.19683808714777]
Predicted rank: [0], ambiguousness: [[0.71877426 0.28122574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.54658433265844]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.69391447593677]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.73507341119829]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.79995067435596]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.87308923277394]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.90741126247525]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.71458730720173]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31892627550859]
Predicted rank: [0], ambiguousness: [[0.8355151 0.1644849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.46881843139451]
Predicted rank: [0], ambiguousness: [[0.8356153  0.16438475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.80085866213591]
Predicted rank: [0], ambiguousness: [[0.7405976  0.25940242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.34698794058508]
Predicted rank: [0], ambiguousness: [[0.6720916 0.3279084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.68515892815536]
Predicted rank: [0], ambiguousness: [[0.7623657  0.23763429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.9259447847291]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.23884248262986]
Predicted rank: [0], ambiguousness: [[0.8388877  0.16111232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.53871900966519]
Predicted rank: [0], ambiguousness: [[0.8188017 0.1811983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.65812170307798]
Predicted rank: [0], ambiguousness: [[0.839476 0.160524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.70440102759079]
Predicted rank: [0], ambiguousness: [[0.91123927 0.08876076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.68543339684582]
Predicted rank: [0], ambiguousness: [[0.6298307 0.3701693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.90500527871377]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.17067282994053]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.23959027086923]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.55399950219947]
Predicted rank: [0], ambiguousness: [[0.846014   0.15398595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.66386217579648]
Predicted rank: [0], ambiguousness: [[0.94163525 0.05836475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.73629349011017]
Predicted rank: [0], ambiguousness: [[0.849977   0.15002297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.31242531792694]
Predicted rank: [0], ambiguousness: [[0.7017964  0.29820356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.42113477520238]
Predicted rank: [0], ambiguousness: [[0.9106975  0.08930249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.53782682237454]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.63101456177083]
Predicted rank: [0], ambiguousness: [[0.70045435 0.29954565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.5708703969052]
Predicted rank: [0], ambiguousness: [[0.6855785  0.31442147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.89343004845927]
Predicted rank: [0], ambiguousness: [[0.75979143 0.24020857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.14649976861024]
Predicted rank: [0], ambiguousness: [[0.7495129 0.2504871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.40969287710803]
Predicted rank: [0], ambiguousness: [[0.8570056  0.14299442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.71758318669625]
Predicted rank: [0], ambiguousness: [[0.86313987 0.13686012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.83210977000617]
Predicted rank: [0], ambiguousness: [[0.8317105  0.16828947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.8768457952583]
Predicted rank: [0], ambiguousness: [[0.9199786  0.08002137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.43432567433169]
Predicted rank: [0], ambiguousness: [[0.62785363 0.37214634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.62684367998742]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.94349866219676]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.0197708987497]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.45927369382656]
Predicted rank: [0], ambiguousness: [[0.80838746 0.19161253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.57468504697103]
Predicted rank: [0], ambiguousness: [[0.9369001  0.06309994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.65348606604208]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.70494685727988]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.87744137739239]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.09620598396238]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.45137280956874]
Predicted rank: [0], ambiguousness: [[0.8153577  0.18464229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.14976436367502]
Predicted rank: [0], ambiguousness: [[0.6944639 0.3055361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.64130706105513]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.26229597444888]
Predicted rank: [0], ambiguousness: [[0.82546633 0.17453367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.41290254800089]
Predicted rank: [0], ambiguousness: [[0.8255713  0.17442869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.74400446239972]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.29089629357878]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.63248543785213]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.87134482036792]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.19544455665977]
Predicted rank: [0], ambiguousness: [[0.85366225 0.14633772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.49443573395199]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.61446719843102]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.66094631728615]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.65265836670727]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.87180570170221]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.13800342433481]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.20701752456932]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.52267800737754]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.6326408365565]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.70518465469445]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.28451321952008]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.39322237833818]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.50991391982849]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.60310123619014]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.25236908076445]
Predicted rank: [0], ambiguousness: [[0.6627587  0.33724132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.60276947842078]
Predicted rank: [0], ambiguousness: [[0.75917536 0.24082464]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.83872859880424]
Predicted rank: [0], ambiguousness: [[0.7488792 0.2511208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.19328666406575]
Predicted rank: [0], ambiguousness: [[0.84052753 0.15947247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.49237039483009]
Predicted rank: [0], ambiguousness: [[0.8215762  0.17842382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.61239052372066]
Predicted rank: [0], ambiguousness: [[0.8185699  0.18143012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.65889839829842]
Predicted rank: [0], ambiguousness: [[0.9126187  0.08738131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.15399550930317]
Predicted rank: [0], ambiguousness: [[0.6277162 0.3722838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.32809979111963]
Predicted rank: [0], ambiguousness: [[0.66113156 0.33886844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.67040559705575]
Predicted rank: [0], ambiguousness: [[0.76000345 0.23999658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.75107709460065]
Predicted rank: [0], ambiguousness: [[0.9090053  0.09099472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.25174224455048]
Predicted rank: [0], ambiguousness: [[0.83325666 0.16674335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.3714317226853]
Predicted rank: [0], ambiguousness: [[0.93620247 0.06379752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.4548790017048]
Predicted rank: [0], ambiguousness: [[0.8445643 0.1554357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.52405001569092]
Predicted rank: [0], ambiguousness: [[0.6182605 0.3817395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.70141229786768]
Predicted rank: [0], ambiguousness: [[0.8752814  0.12471858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.928933035478]
Predicted rank: [0], ambiguousness: [[0.8073827  0.19261728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.30651391586227]
Predicted rank: [0], ambiguousness: [[0.8364775  0.16352247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.07374569012174]
Predicted rank: [0], ambiguousness: [[0.6931874  0.30681258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.38433276024284]
Predicted rank: [0], ambiguousness: [[0.6205784 0.3794216]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.57328203604436]
Predicted rank: [0], ambiguousness: [[0.66582674 0.33417326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.89789659931301]
Predicted rank: [0], ambiguousness: [[0.74982923 0.25017077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.97516275609979]
Predicted rank: [0], ambiguousness: [[0.9105137  0.08948629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.43708359029333]
Predicted rank: [0], ambiguousness: [[0.84666884 0.15333113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.55282582974229]
Predicted rank: [0], ambiguousness: [[0.9525283  0.04747171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.6319171620728]
Predicted rank: [0], ambiguousness: [[0.8474565 0.1525435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.20957782894763]
Predicted rank: [0], ambiguousness: [[0.60655665 0.39344335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.41047568932376]
Predicted rank: [0], ambiguousness: [[0.87763333 0.12236668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.68892048575273]
Predicted rank: [0], ambiguousness: [[0.80942535 0.19057462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.20543411898447]
Predicted rank: [0], ambiguousness: [[0.8095174  0.19048259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.38427471273629]
Predicted rank: [0], ambiguousness: [[0.61387134 0.38612866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.21327841160692]
Predicted rank: [0], ambiguousness: [[0.64804804 0.351952  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.56759549009257]
Predicted rank: [0], ambiguousness: [[0.7470654  0.25293458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.8018182658754]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.16930377295827]
Predicted rank: [0], ambiguousness: [[0.8211164  0.17888361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.46788773156898]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.58830278672426]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.63493991667764]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.13189749117888]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.30467814215177]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.64932954422154]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.73035619707757]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.23708425212122]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.3570445960799]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.44078351214243]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.51798526118657]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.69537469982654]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.92297924671473]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.30085447588456]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.06841989173901]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.081562192174]
Predicted rank: [0], ambiguousness: [[0.6242353 0.3757647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.24994356481879]
Predicted rank: [0], ambiguousness: [[0.63919616 0.3608038 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.60559598354288]
Predicted rank: [0], ambiguousness: [[0.7466365  0.25336352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.68789192684117]
Predicted rank: [0], ambiguousness: [[0.9113777  0.08862225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.22675347522225]
Predicted rank: [0], ambiguousness: [[0.8269053  0.17309469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.34687248813859]
Predicted rank: [0], ambiguousness: [[0.9426942 0.0573058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.43065882157163]
Predicted rank: [0], ambiguousness: [[0.8330363 0.1669637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.91661167700828]
Predicted rank: [0], ambiguousness: [[0.60626626 0.39373377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.12957945852772]
Predicted rank: [0], ambiguousness: [[0.8696603 0.1303397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.43207473462667]
Predicted rank: [0], ambiguousness: [[0.7994027  0.20059729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.01405423195278]
Predicted rank: [0], ambiguousness: [[0.81655663 0.18344338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.21776842532293]
Predicted rank: [0], ambiguousness: [[0.59866357 0.40133646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.16539386604003]
Predicted rank: [0], ambiguousness: [[0.5940944  0.40590563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.36956580646387]
Predicted rank: [0], ambiguousness: [[0.88385826 0.11614174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.65583972466024]
Predicted rank: [0], ambiguousness: [[0.8064095 0.1935905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.1965570658692]
Predicted rank: [0], ambiguousness: [[0.8445253  0.15547471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.87286318883184]
Predicted rank: [0], ambiguousness: [[0.61060756 0.38939244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.1990565376147]
Predicted rank: [0], ambiguousness: [[0.62685955 0.37314045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.37332984265589]
Predicted rank: [0], ambiguousness: [[0.63385713 0.3661429 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.72183971199252]
Predicted rank: [0], ambiguousness: [[0.7681649 0.2318351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.80283053151439]
Predicted rank: [0], ambiguousness: [[0.917221 0.082779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.32572641220375]
Predicted rank: [0], ambiguousness: [[0.8273503  0.17264967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.44444390467535]
Predicted rank: [0], ambiguousness: [[0.9390398  0.06096016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.52672460314298]
Predicted rank: [0], ambiguousness: [[0.8288471  0.17115289]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.04355905326995]
Predicted rank: [0], ambiguousness: [[0.6628252 0.3371748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.2530566657438]
Predicted rank: [0], ambiguousness: [[0.8718561  0.12814394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.54897567126982]
Predicted rank: [0], ambiguousness: [[0.81441903 0.185581  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.11419858626715]
Predicted rank: [0], ambiguousness: [[0.83440334 0.16559666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.32038213763745]
Predicted rank: [0], ambiguousness: [[0.6215936  0.37840644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.97263651541451]
Predicted rank: [0], ambiguousness: [[0.6004969 0.3995031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.18654184125955]
Predicted rank: [0], ambiguousness: [[0.8700193  0.12998068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.49317643600831]
Predicted rank: [0], ambiguousness: [[0.7985415 0.2014585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.09204303663276]
Predicted rank: [0], ambiguousness: [[0.826763   0.17323704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.70946673323515]
Predicted rank: [0], ambiguousness: [[0.5776702  0.42232978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.90888430233112]
Predicted rank: [0], ambiguousness: [[0.5913539  0.40864608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.87289016425424]
Predicted rank: [0], ambiguousness: [[0.57928467 0.42071536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.86347417760973]
Predicted rank: [0], ambiguousness: [[0.73929214 0.26070789]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.59950639431358]
Predicted rank: [0], ambiguousness: [[0.73365754 0.26634246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.74813181315896]
Predicted rank: [0], ambiguousness: [[0.6818632  0.31813678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.84187393413441]
Predicted rank: [0], ambiguousness: [[0.67939276 0.32060724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.26476144359282]
Predicted rank: [0], ambiguousness: [[0.5693356  0.43066445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.79805368119534]
Predicted rank: [0], ambiguousness: [[0.7193122  0.28068778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.3985871356952]
Predicted rank: [0], ambiguousness: [[0.73306113 0.26693887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.78007516551867]
Predicted rank: [0], ambiguousness: [[0.80807316 0.19192682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.91494729562976]
Predicted rank: [0], ambiguousness: [[0.8237506  0.17624937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.26747882742741]
Predicted rank: [0], ambiguousness: [[0.7084789  0.29152104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.43601551531242]
Predicted rank: [0], ambiguousness: [[0.7095592  0.29044083]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.60005814078218]
Predicted rank: [0], ambiguousness: [[0.75478876 0.24521124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.98825991604127]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73100674033304]
Predicted rank: [0], ambiguousness: [[0.67671716 0.32328284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.12992605656297]
Predicted rank: [0], ambiguousness: [[0.63998103 0.36001894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.19327411276895]
Predicted rank: [0], ambiguousness: [[0.63814735 0.36185262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.22106502702522]
Predicted rank: [0], ambiguousness: [[0.8257129  0.17428708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.8224913840108]
Predicted rank: [0], ambiguousness: [[0.73310125 0.26689872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.56141334699183]
Predicted rank: [0], ambiguousness: [[0.72682625 0.27317375]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.71003876583723]
Predicted rank: [0], ambiguousness: [[0.6742932  0.32570678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.80378088681266]
Predicted rank: [0], ambiguousness: [[0.6809472 0.3190528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.22666839627107]
Predicted rank: [0], ambiguousness: [[0.5715586  0.42844138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.60740876765506]
Predicted rank: [0], ambiguousness: [[0.72806495 0.27193505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.23948438967994]
Predicted rank: [0], ambiguousness: [[0.7267396 0.2732604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.64027379992956]
Predicted rank: [0], ambiguousness: [[0.81391203 0.18608795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.77791386128987]
Predicted rank: [0], ambiguousness: [[0.83635926 0.16364074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.12572607431687]
Predicted rank: [0], ambiguousness: [[0.7367379 0.2632621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.35394306722887]
Predicted rank: [0], ambiguousness: [[0.70912063 0.2908794 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.51877442893903]
Predicted rank: [0], ambiguousness: [[0.7498237  0.25017634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.90610455127724]
Predicted rank: [0], ambiguousness: [[0.72842175 0.27157825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.65051301987992]
Predicted rank: [0], ambiguousness: [[0.6783647 0.3216353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.04864507933894]
Predicted rank: [0], ambiguousness: [[0.65254223 0.3474578 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.11232789513717]
Predicted rank: [0], ambiguousness: [[0.6451446 0.3548554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14023122246876]
Predicted rank: [0], ambiguousness: [[0.8153273  0.18467268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.76870649962187]
Predicted rank: [0], ambiguousness: [[0.73335    0.26665002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.05419354220406]
Predicted rank: [0], ambiguousness: [[0.71750873 0.28249127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.56635767086058]
Predicted rank: [0], ambiguousness: [[0.7919463  0.20805374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.7105135779523]
Predicted rank: [0], ambiguousness: [[0.8128357  0.18716432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.0510277143823]
Predicted rank: [0], ambiguousness: [[0.6958914  0.30410862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.02689501421357]
Predicted rank: [0], ambiguousness: [[0.6107664 0.3892336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.2917170271005]
Predicted rank: [0], ambiguousness: [[0.71891105 0.28108892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.57549062782496]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.65486292845486]
Predicted rank: [0], ambiguousness: [[0.80168027 0.19831973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.97637913530323]
Predicted rank: [0], ambiguousness: [[0.7803241 0.2196759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.08092107268372]
Predicted rank: [0], ambiguousness: [[0.79427385 0.20572618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.12258240811266]
Predicted rank: [0], ambiguousness: [[0.8921751  0.10782495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.31296915649338]
Predicted rank: [0], ambiguousness: [[0.66139126 0.3386087 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.66371230648389]
Predicted rank: [0], ambiguousness: [[0.67212975 0.32787022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.81016701639928]
Predicted rank: [0], ambiguousness: [[0.72814506 0.27185494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.85115387776459]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.91542279335061]
Predicted rank: [0], ambiguousness: [[0.62400377 0.37599623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.988292903471]
Predicted rank: [0], ambiguousness: [[0.8622067  0.13779333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.02232602632613]
Predicted rank: [0], ambiguousness: [[0.64516544 0.35483456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55472919290197]
Predicted rank: [0], ambiguousness: [[0.7081944 0.2918056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.197313619798]
Predicted rank: [0], ambiguousness: [[0.7220659 0.2779341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.59931801823497]
Predicted rank: [0], ambiguousness: [[0.798579   0.20142102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.73708767644919]
Predicted rank: [0], ambiguousness: [[0.82849723 0.17150277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.08469641010169]
Predicted rank: [0], ambiguousness: [[0.7256485  0.27435145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31605204675336]
Predicted rank: [0], ambiguousness: [[0.70426816 0.29573184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.48088340846353]
Predicted rank: [0], ambiguousness: [[0.75326216 0.24673781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.86821353080174]
Predicted rank: [0], ambiguousness: [[0.7320384  0.26796165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.61262199940441]
Predicted rank: [0], ambiguousness: [[0.69704413 0.3029559 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.01075405886344]
Predicted rank: [0], ambiguousness: [[0.65669304 0.34330696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.07443687466167]
Predicted rank: [0], ambiguousness: [[0.6587995  0.34120044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.10234020199326]
Predicted rank: [0], ambiguousness: [[0.81698656 0.18301345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55419661354415]
Predicted rank: [0], ambiguousness: [[0.70179236 0.2982076 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.80045016520528]
Predicted rank: [0], ambiguousness: [[0.7219783  0.27802172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.36900741675649]
Predicted rank: [0], ambiguousness: [[0.7877151  0.21228491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.51828297507316]
Predicted rank: [0], ambiguousness: [[0.81673396 0.18326601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.85107597085008]
Predicted rank: [0], ambiguousness: [[0.71163046 0.28836957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.85792695900804]
Predicted rank: [0], ambiguousness: [[0.62307787 0.37692216]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.13093805181157]
Predicted rank: [0], ambiguousness: [[0.72445035 0.27554962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.40736245303353]
Predicted rank: [0], ambiguousness: [[0.723282   0.27671802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.51344497079249]
Predicted rank: [0], ambiguousness: [[0.8171371  0.18286288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.8298079079216]
Predicted rank: [0], ambiguousness: [[0.7920593  0.20794071]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.9371171854082]
Predicted rank: [0], ambiguousness: [[0.81336606 0.18663397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.97967698214278]
Predicted rank: [0], ambiguousness: [[0.8975031  0.10249692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23071436030072]
Predicted rank: [0], ambiguousness: [[0.66753995 0.33246005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.5804606058114]
Predicted rank: [0], ambiguousness: [[0.6953023 0.3046977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.7277907490897]
Predicted rank: [0], ambiguousness: [[0.74419856 0.25580147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.76894968435124]
Predicted rank: [0], ambiguousness: [[0.89529717 0.10470282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.8338269475089]
Predicted rank: [0], ambiguousness: [[0.6510002 0.3489998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.90696550592689]
Predicted rank: [0], ambiguousness: [[0.86782175 0.13217826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.94128753562819]
Predicted rank: [0], ambiguousness: [[0.65022165 0.34977835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.00541559964626]
Predicted rank: [0], ambiguousness: [[0.7176945 0.2823055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.53677271198997]
Predicted rank: [0], ambiguousness: [[0.844112 0.155888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.68125422297854]
Predicted rank: [0], ambiguousness: [[0.8149366  0.18506344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.02137070135831]
Predicted rank: [0], ambiguousness: [[0.7116779 0.2883221]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.6231483737033]
Predicted rank: [0], ambiguousness: [[0.6123351  0.38766494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.93910616343055]
Predicted rank: [0], ambiguousness: [[0.72024345 0.27975652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.19477086276845]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.4355443528045]
Predicted rank: [0], ambiguousness: [[0.78635216 0.21364781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.74385939018606]
Predicted rank: [0], ambiguousness: [[0.7634738 0.2365262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.8580560634275]
Predicted rank: [0], ambiguousness: [[0.78288555 0.21711448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.90267006112157]
Predicted rank: [0], ambiguousness: [[0.89036846 0.10963154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.8541688128228]
Predicted rank: [0], ambiguousness: [[0.5772432  0.42275682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.08251961141247]
Predicted rank: [0], ambiguousness: [[0.58851194 0.41148803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.33901537094027]
Predicted rank: [0], ambiguousness: [[0.7073758  0.29262418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.40605572040252]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.70061800980801]
Predicted rank: [0], ambiguousness: [[0.7741601 0.2258399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.8082317917794]
Predicted rank: [0], ambiguousness: [[0.9221232  0.07787682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.87822653840337]
Predicted rank: [0], ambiguousness: [[0.80009806 0.19990191]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.3925588292012]
Predicted rank: [0], ambiguousness: [[0.6403268 0.3596732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.50077821416696]
Predicted rank: [0], ambiguousness: [[0.8904588 0.1095412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6166316700173]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.70905572182804]
Predicted rank: [0], ambiguousness: [[0.6458101  0.35418987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.48832252176845]
Predicted rank: [0], ambiguousness: [[0.7060771 0.2939229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.73827839517962]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31624293426256]
Predicted rank: [0], ambiguousness: [[0.80121386 0.19878614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.46615000515294]
Predicted rank: [0], ambiguousness: [[0.8346422 0.1653578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.79810366389044]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.81593303457467]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.08942664440258]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.36548981552531]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.47316313738412]
Predicted rank: [0], ambiguousness: [[0.8442461  0.15575391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.7893030415572]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.89674385734477]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.93934478513434]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.19358005989895]
Predicted rank: [0], ambiguousness: [[0.6772597  0.32274032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.54332630540961]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.69065644868795]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.73181538394947]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.79669264710714]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.86983120552512]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.9041532352264]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.71138027859436]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31571924690124]
Predicted rank: [0], ambiguousness: [[0.8134837  0.18651626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.46561140278716]
Predicted rank: [0], ambiguousness: [[0.8160056  0.18399441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.79765163352855]
Predicted rank: [0], ambiguousness: [[0.7135389  0.28646114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.34378091197772]
Predicted rank: [0], ambiguousness: [[0.6235157  0.37648425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.68195189954801]
Predicted rank: [0], ambiguousness: [[0.7248225  0.27517745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.92273775612175]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.23563545402251]
Predicted rank: [0], ambiguousness: [[0.81958413 0.18041588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.53551198105782]
Predicted rank: [0], ambiguousness: [[0.7950808  0.20491923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.65491467447063]
Predicted rank: [0], ambiguousness: [[0.82022786 0.17977215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.70119399898343]
Predicted rank: [0], ambiguousness: [[0.8995666 0.1004334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.68222636823847]
Predicted rank: [0], ambiguousness: [[0.5828072  0.41719282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.90179825010642]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.16746580133318]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.23638324226187]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.55079247359211]
Predicted rank: [0], ambiguousness: [[0.82371044 0.17628959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.66065514718912]
Predicted rank: [0], ambiguousness: [[0.92849374 0.07150628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.73308646150281]
Predicted rank: [0], ambiguousness: [[0.8317356  0.16826436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.30921828931959]
Predicted rank: [0], ambiguousness: [[0.65896475 0.34103522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.41792774659501]
Predicted rank: [0], ambiguousness: [[0.8879385  0.11206149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.53461979376718]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.62780753316348]
Predicted rank: [0], ambiguousness: [[0.657524   0.34247598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.56766336829786]
Predicted rank: [0], ambiguousness: [[0.6379243  0.36207572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.89022301985192]
Predicted rank: [0], ambiguousness: [[0.7219899  0.27801007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.14329274000289]
Predicted rank: [0], ambiguousness: [[0.71070975 0.28929025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.4064858485007]
Predicted rank: [0], ambiguousness: [[0.83945733 0.16054265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.7143761580889]
Predicted rank: [0], ambiguousness: [[0.84411836 0.15588167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.8289027413988]
Predicted rank: [0], ambiguousness: [[0.81174004 0.18825994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.87363876665094]
Predicted rank: [0], ambiguousness: [[0.909341   0.09065904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.43111864572433]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.62363665138005]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.9402916335894]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.01656387014236]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.45606666521921]
Predicted rank: [0], ambiguousness: [[0.78636026 0.21363972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.57147801836366]
Predicted rank: [0], ambiguousness: [[0.9245802  0.07541977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.65027903743473]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.70173982867253]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.87423434878502]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.09299895535503]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.4481657809614]
Predicted rank: [0], ambiguousness: [[0.7897174  0.21028262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.14655733506766]
Predicted rank: [0], ambiguousness: [[0.65110266 0.34889734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.62960809601478]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.25117074869962]
Predicted rank: [0], ambiguousness: [[0.8024073  0.19759268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.40180243210818]
Predicted rank: [0], ambiguousness: [[0.80504304 0.19495697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.73287085075135]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.27978377667336]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.62148985215677]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.86028205032872]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.18476555346308]
Predicted rank: [0], ambiguousness: [[0.8357824  0.16421759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.48372509396111]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.60377858092085]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.65026471859059]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.64231845036988]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.86144773983406]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.12766686202735]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.19668498768189]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.51239493332773]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.62236212294488]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.69491079653432]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.27437260265103]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.38308205992644]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.49977410709862]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.59296184649489]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.24306456257536]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.59350973982319]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.82944393741494]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.18414911333292]
Predicted rank: [0], ambiguousness: [[0.8222947  0.17770529]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.48322152280092]
Predicted rank: [0], ambiguousness: [[0.7991351  0.20086491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.60324908952083]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.6497593488215]
Predicted rank: [0], ambiguousness: [[0.90166396 0.09833606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.14479316690381]
Predicted rank: [0], ambiguousness: [[0.5828072  0.41719282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.31887261790061]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.66121500503262]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.74189258071306]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.24264663888587]
Predicted rank: [0], ambiguousness: [[0.8143762  0.18562382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.36234173913574]
Predicted rank: [0], ambiguousness: [[0.924197   0.07580297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.44579518032361]
Predicted rank: [0], ambiguousness: [[0.8266979  0.17330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.51500944285664]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.692377393599]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.91990872166144]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.29751765498611]
Predicted rank: [0], ambiguousness: [[0.81404674 0.18595327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.06482930100192]
Predicted rank: [0], ambiguousness: [[0.65179515 0.34820482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.37555988729011]
Predicted rank: [0], ambiguousness: [[0.5714187 0.4285813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.56450916309163]
Predicted rank: [0], ambiguousness: [[0.6151537  0.38484633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.88912372636028]
Predicted rank: [0], ambiguousness: [[0.7095789 0.2904211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.96638988314706]
Predicted rank: [0], ambiguousness: [[0.8924065  0.10759348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.42831071734061]
Predicted rank: [0], ambiguousness: [[0.8266811  0.17331892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.54405295678956]
Predicted rank: [0], ambiguousness: [[0.9425361 0.0574639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.62314428912006]
Predicted rank: [0], ambiguousness: [[0.82755053 0.17244944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.2008049559949]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.40170281637104]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.6801476128]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.19666124603174]
Predicted rank: [0], ambiguousness: [[0.7859113 0.2140887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.37550183978357]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.16280566526405]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 109.51932140451149]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 108.75234058667857]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.12705303788064]
Predicted rank: [0], ambiguousness: [[0.8001907 0.1998093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.42510316405348]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.54586532138072]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.59261502112243]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.08735373536533]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.25897863301265]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.60532983902496]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.68663921605653]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.19750128102561]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.31772285181566]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.40174486569677]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.48137602150655]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.65900732356232]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.88705364138178]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.26606471629844]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.03691757530638]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.04588908073308]
Predicted rank: [0], ambiguousness: [[0.5785389  0.42146108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.21333345727558]
Predicted rank: [0], ambiguousness: [[0.59027725 0.40972275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.57041533314035]
Predicted rank: [0], ambiguousness: [[0.7088834 0.2911166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.65294033613608]
Predicted rank: [0], ambiguousness: [[0.8947107  0.10528926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.19534263920426]
Predicted rank: [0], ambiguousness: [[0.80749357 0.19250643]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.31565765647605]
Predicted rank: [0], ambiguousness: [[0.9318303  0.06816971]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.39965446298135]
Predicted rank: [0], ambiguousness: [[0.81415766 0.18584235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.88177612445256]
Predicted rank: [0], ambiguousness: [[0.57076883 0.4292312 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.09528054412016]
Predicted rank: [0], ambiguousness: [[0.8450324  0.15496759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.39884434984239]
Predicted rank: [0], ambiguousness: [[0.7748513 0.2251487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.98371866088831]
Predicted rank: [0], ambiguousness: [[0.8033357  0.19666426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.18855145466001]
Predicted rank: [0], ambiguousness: [[0.5629747 0.4370253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.142139628856]
Predicted rank: [0], ambiguousness: [[0.5492109 0.4507891]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.3464134035541]
Predicted rank: [0], ambiguousness: [[0.8570384  0.14296165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.63288475981801]
Predicted rank: [0], ambiguousness: [[0.7761574  0.22384262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.17411272628507]
Predicted rank: [0], ambiguousness: [[0.8277262  0.17227383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.84966254726537]
Predicted rank: [0], ambiguousness: [[0.56621677 0.43378323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.00536793161844]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.17049536256593]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.532259548551]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 108.61541779217666]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.17031142531005]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.29097367121946]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.37532785749991]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.85666404992583]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.0712592479398]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.37715376921103]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.96875686789105]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.1824671206609]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.79520867564241]
Predicted rank: [0], ambiguousness: [[0.5530603 0.4469397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.01430602805442]
Predicted rank: [0], ambiguousness: [[0.8449127  0.15508729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.33135521398661]
Predicted rank: [0], ambiguousness: [[0.77319896 0.22680105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.95829855501268]
Predicted rank: [0], ambiguousness: [[0.8060802 0.1939198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.54297284259283]
Predicted rank: [0], ambiguousness: [[0.55050635 0.44949365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.80219199002983]
Predicted rank: [0], ambiguousness: [[0.55341744 0.44658253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 107.92456540968857]
Predicted rank: [0], ambiguousness: [[0.5818247  0.41817528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.1400372031848]
Predicted rank: [0], ambiguousness: [[0.8361069  0.16389309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.45015410977123]
Predicted rank: [0], ambiguousness: [[0.77515763 0.22484237]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.05915493579181]
Predicted rank: [0], ambiguousness: [[0.7894859  0.21051414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.67405173116595]
Predicted rank: [0], ambiguousness: [[0.57423097 0.42576903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.5987404100372]
Predicted rank: [0], ambiguousness: [[0.54917914 0.45082086]]
Running local search 10
Switching 10 patient(s). Size of neighborhood: 184756
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.06096322503288]
Predicted rank: [0], ambiguousness: [[0.70400333 0.29599667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.91329392842462]
Predicted rank: [0], ambiguousness: [[0.72673655 0.27326345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.494064863463]
Predicted rank: [0], ambiguousness: [[0.8279943 0.1720057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.602294344818]
Predicted rank: [0], ambiguousness: [[0.8307778  0.16922219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.82761968607429]
Predicted rank: [0], ambiguousness: [[0.7624399 0.2375601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.9641929297888]
Predicted rank: [0], ambiguousness: [[0.79758996 0.20241003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.16504149485564]
Predicted rank: [0], ambiguousness: [[0.58358705 0.41641292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.83660284531494]
Predicted rank: [0], ambiguousness: [[0.74745417 0.25254586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.24010677698035]
Predicted rank: [0], ambiguousness: [[0.8479124  0.15208764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.45282705128064]
Predicted rank: [0], ambiguousness: [[0.85447085 0.14552915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.67971950073888]
Predicted rank: [0], ambiguousness: [[0.7933207  0.20667928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.81694559948836]
Predicted rank: [0], ambiguousness: [[0.82573205 0.17426796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.01640177055265]
Predicted rank: [0], ambiguousness: [[0.6410925  0.35890752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.16137133848336]
Predicted rank: [0], ambiguousness: [[0.8406379  0.15936211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.57057518742667]
Predicted rank: [0], ambiguousness: [[0.85032046 0.14967953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.17094452239743]
Predicted rank: [0], ambiguousness: [[0.8773343  0.12266572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.3733285365451]
Predicted rank: [0], ambiguousness: [[0.90584254 0.09415743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.45941716252545]
Predicted rank: [0], ambiguousness: [[0.75238794 0.24761207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.24654307767756]
Predicted rank: [0], ambiguousness: [[0.8363079  0.16369209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.48911542900385]
Predicted rank: [0], ambiguousness: [[0.86427087 0.13572912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.63645741732226]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.69054118564355]
Predicted rank: [0], ambiguousness: [[0.79550385 0.20449618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.85493884476944]
Predicted rank: [0], ambiguousness: [[0.70604455 0.29395545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.95027584674695]
Predicted rank: [0], ambiguousness: [[0.70439196 0.29560807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.99157157495088]
Predicted rank: [0], ambiguousness: [[0.8688673 0.1311327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.15969448749692]
Predicted rank: [0], ambiguousness: [[0.8594483  0.14055169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.37839204213219]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.60528449159045]
Predicted rank: [0], ambiguousness: [[0.79871714 0.20128286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.74251059033992]
Predicted rank: [0], ambiguousness: [[0.834071 0.165929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.94196676140419]
Predicted rank: [0], ambiguousness: [[0.64671266 0.3532873 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.80648467606822]
Predicted rank: [0], ambiguousness: [[0.8563289  0.14367111]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.2747802981751]
Predicted rank: [0], ambiguousness: [[0.85655    0.14345002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.9120191972336]
Predicted rank: [0], ambiguousness: [[0.89527303 0.10472698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.11968376360684]
Predicted rank: [0], ambiguousness: [[0.9192118  0.08078822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.1966088669634]
Predicted rank: [0], ambiguousness: [[0.7933912  0.20660876]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.09748061001662]
Predicted rank: [0], ambiguousness: [[0.84511614 0.15488385]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.34154348491259]
Predicted rank: [0], ambiguousness: [[0.87062037 0.12937963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48720911612392]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.54445275771528]
Predicted rank: [0], ambiguousness: [[0.8096663  0.19033374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.70733472605114]
Predicted rank: [0], ambiguousness: [[0.723646 0.276354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.80330413913276]
Predicted rank: [0], ambiguousness: [[0.713853 0.286147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.84481206960834]
Predicted rank: [0], ambiguousness: [[0.8583207  0.14167926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.11484201103056]
Predicted rank: [0], ambiguousness: [[0.8699871  0.13001294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.00054431483213]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.81991893452442]
Predicted rank: [0], ambiguousness: [[0.8859266  0.11407342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.03786492433429]
Predicted rank: [0], ambiguousness: [[0.91354436 0.08645565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.1034237867203]
Predicted rank: [0], ambiguousness: [[0.7662349  0.23376514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.01382767760893]
Predicted rank: [0], ambiguousness: [[0.78569573 0.21430428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.41781285557127]
Predicted rank: [0], ambiguousness: [[0.8533181  0.14668189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.39585994986803]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.99204972387692]
Predicted rank: [0], ambiguousness: [[0.89387363 0.10612638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.03118913833953]
Predicted rank: [0], ambiguousness: [[0.83792895 0.16207105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.1919085822169]
Predicted rank: [0], ambiguousness: [[0.8468681  0.15313189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.25519950538677]
Predicted rank: [0], ambiguousness: [[0.9221925  0.07780751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.07346518243288]
Predicted rank: [0], ambiguousness: [[0.82334065 0.17665933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16474248279782]
Predicted rank: [0], ambiguousness: [[0.74897933 0.25102067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.3852034594525]
Predicted rank: [0], ambiguousness: [[0.7932445  0.20675553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.44609799834004]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.55169072992925]
Predicted rank: [0], ambiguousness: [[0.7039002  0.29609975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.65857102216442]
Predicted rank: [0], ambiguousness: [[0.90449923 0.09550075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.71249224634502]
Predicted rank: [0], ambiguousness: [[0.72256446 0.2774355 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.70764447645493]
Predicted rank: [0], ambiguousness: [[0.8567269  0.14327314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.19762458950277]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.8373864349174]
Predicted rank: [0], ambiguousness: [[0.89557624 0.10442373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.0453203838056]
Predicted rank: [0], ambiguousness: [[0.9224957  0.07750429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.12181469372838]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.02918566086498]
Predicted rank: [0], ambiguousness: [[0.84517324 0.15482673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.27324853576097]
Predicted rank: [0], ambiguousness: [[0.87530667 0.12469331]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.41891416697231]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.47615780856366]
Predicted rank: [0], ambiguousness: [[0.82616454 0.17383544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.63903977689952]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.73500918998114]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.7765171204567]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.72076933853859]
Predicted rank: [0], ambiguousness: [[0.8600843  0.13991569]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.53052329379776]
Predicted rank: [0], ambiguousness: [[0.85655    0.14345002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.4578213849802]
Predicted rank: [0], ambiguousness: [[0.8892183  0.11078171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.68556192485038]
Predicted rank: [0], ambiguousness: [[0.9165302  0.08346981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.7360807193699]
Predicted rank: [0], ambiguousness: [[0.7897037  0.21029627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.70478887256573]
Predicted rank: [0], ambiguousness: [[0.79119796 0.20880203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.12443848559047]
Predicted rank: [0], ambiguousness: [[0.8580607  0.14193927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.08818930273668]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.73565878766092]
Predicted rank: [0], ambiguousness: [[0.90411025 0.09588977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.76477050428252]
Predicted rank: [0], ambiguousness: [[0.85485363 0.14514638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.93077016622064]
Predicted rank: [0], ambiguousness: [[0.86896706 0.13103291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.99577511080281]
Predicted rank: [0], ambiguousness: [[0.9277853  0.07221471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.92967666525946]
Predicted rank: [0], ambiguousness: [[0.82885826 0.17114176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.01903196674786]
Predicted rank: [0], ambiguousness: [[0.76553047 0.23446956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.24114974337542]
Predicted rank: [0], ambiguousness: [[0.80378854 0.19621149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.30236935700907]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.40910198388355]
Predicted rank: [0], ambiguousness: [[0.7242567 0.2757433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.5164911901795]
Predicted rank: [0], ambiguousness: [[0.9040246  0.09597542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.57095704061555]
Predicted rank: [0], ambiguousness: [[0.7231755 0.2768245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.92584900484025]
Predicted rank: [0], ambiguousness: [[0.851732   0.14826797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.77862965762833]
Predicted rank: [0], ambiguousness: [[0.927013   0.07298703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.99713762655468]
Predicted rank: [0], ambiguousness: [[0.9200153  0.07998475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.06199512020834]
Predicted rank: [0], ambiguousness: [[0.7918111  0.20818889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.34981829953992]
Predicted rank: [0], ambiguousness: [[0.78569573 0.21430428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.83968038600648]
Predicted rank: [0], ambiguousness: [[0.8533181  0.14668189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.76960336180812]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.63729791289516]
Predicted rank: [0], ambiguousness: [[0.8916942 0.1083058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.6538193270738]
Predicted rank: [0], ambiguousness: [[0.834813   0.16518703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.83073200017373]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.89898550074378]
Predicted rank: [0], ambiguousness: [[0.92346525 0.07653473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.76730761758353]
Predicted rank: [0], ambiguousness: [[0.7639593 0.2360407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.65953641512684]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.05663881450174]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.15908492019773]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.6357508362683]
Predicted rank: [0], ambiguousness: [[0.84081197 0.15918802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.79794020163465]
Predicted rank: [0], ambiguousness: [[0.94895107 0.05104892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.90884422648347]
Predicted rank: [0], ambiguousness: [[0.8602364  0.13976358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.7819954220694]
Predicted rank: [0], ambiguousness: [[0.7173846 0.2826154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.9420130833783]
Predicted rank: [0], ambiguousness: [[0.92193055 0.07806943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.11925096088834]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.26794345792172]
Predicted rank: [0], ambiguousness: [[0.72180486 0.2781951 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.61279136863277]
Predicted rank: [0], ambiguousness: [[0.85126936 0.14873067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.42910130795767]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.37529573980409]
Predicted rank: [0], ambiguousness: [[0.8895369  0.11046309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.6043027970178]
Predicted rank: [0], ambiguousness: [[0.91991365 0.08008638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.6531072302553]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.64364536552284]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.06425020200217]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.02727478525287]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.67790071943892]
Predicted rank: [0], ambiguousness: [[0.9135203  0.08647972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.70656452766127]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.87282342608177]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.93790940492664]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.87809984172009]
Predicted rank: [0], ambiguousness: [[0.83477014 0.16522984]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.96745668361311]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.18957308987582]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.25079243519922]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.35752420681362]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.46491298574009]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.51937838694249]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.3921760935275]
Predicted rank: [0], ambiguousness: [[0.8513056 0.1486944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.38477558901704]
Predicted rank: [0], ambiguousness: [[0.8964764  0.10352363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.61362204637342]
Predicted rank: [0], ambiguousness: [[0.9130489 0.0869511]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.66276512803051]
Predicted rank: [0], ambiguousness: [[0.7763926  0.22360739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.84356890286597]
Predicted rank: [0], ambiguousness: [[0.7896975  0.21030249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.37595514022937]
Predicted rank: [0], ambiguousness: [[0.85695386 0.14304613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.27688261783162]
Predicted rank: [0], ambiguousness: [[0.7848198  0.21518023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.28290977082989]
Predicted rank: [0], ambiguousness: [[0.8979365  0.10206349]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.28297975572734]
Predicted rank: [0], ambiguousness: [[0.8460486 0.1539514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.46983853382163]
Predicted rank: [0], ambiguousness: [[0.86412996 0.13587002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.54127581295404]
Predicted rank: [0], ambiguousness: [[0.9258451  0.07415491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.4650596381012]
Predicted rank: [0], ambiguousness: [[0.76921093 0.23078908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.3401909344984]
Predicted rank: [0], ambiguousness: [[0.692013   0.30798694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.7548383408473]
Predicted rank: [0], ambiguousness: [[0.78480744 0.21519259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.8608670673789]
Predicted rank: [0], ambiguousness: [[0.9200301  0.07996988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.37545839664442]
Predicted rank: [0], ambiguousness: [[0.8669001  0.13309994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.54194844416116]
Predicted rank: [0], ambiguousness: [[0.9503133  0.04968667]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.65748637724198]
Predicted rank: [0], ambiguousness: [[0.8732617  0.12673832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.6483107107692]
Predicted rank: [0], ambiguousness: [[0.72869563 0.2713044 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.80925736667082]
Predicted rank: [0], ambiguousness: [[0.92087746 0.07912252]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.98808013256937]
Predicted rank: [0], ambiguousness: [[0.82839566 0.17160434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.13820444065368]
Predicted rank: [0], ambiguousness: [[0.7274276  0.27257243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.27536662630894]
Predicted rank: [0], ambiguousness: [[0.80237573 0.19762427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.7767648526511]
Predicted rank: [0], ambiguousness: [[0.8535049  0.14649512]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.70207290557826]
Predicted rank: [0], ambiguousness: [[0.7763294  0.22367062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.60888885231132]
Predicted rank: [0], ambiguousness: [[0.9150805  0.08491951]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.62465807010176]
Predicted rank: [0], ambiguousness: [[0.8863054  0.11369463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.80214023055377]
Predicted rank: [0], ambiguousness: [[0.8593289  0.14067109]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.87060524397626]
Predicted rank: [0], ambiguousness: [[0.9342562 0.0657438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.08294799916237]
Predicted rank: [0], ambiguousness: [[0.76525146 0.23474856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.91359014321557]
Predicted rank: [0], ambiguousness: [[0.67605895 0.32394105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.4119401695068]
Predicted rank: [0], ambiguousness: [[0.7763628  0.22363722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.5299133248582]
Predicted rank: [0], ambiguousness: [[0.9237495  0.07625052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.25003882117214]
Predicted rank: [0], ambiguousness: [[0.8390929 0.1609071]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.42537546035703]
Predicted rank: [0], ambiguousness: [[0.9483281  0.05167194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.55102873987305]
Predicted rank: [0], ambiguousness: [[0.86198586 0.13801412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.11271044277566]
Predicted rank: [0], ambiguousness: [[0.63970125 0.36029875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.37571482562967]
Predicted rank: [0], ambiguousness: [[0.8920076 0.1079924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.71815352344208]
Predicted rank: [0], ambiguousness: [[0.8302623  0.16973767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.29009167786904]
Predicted rank: [0], ambiguousness: [[0.8417882  0.15821184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.45063451482596]
Predicted rank: [0], ambiguousness: [[0.72501147 0.2749885 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.33449046080077]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.34815347281904]
Predicted rank: [0], ambiguousness: [[0.89027274 0.10972727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.57769809047075]
Predicted rank: [0], ambiguousness: [[0.9077362  0.09226384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.62600627797829]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.81185620758156]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.34797455377779]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.2469963238539]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.26533722822079]
Predicted rank: [0], ambiguousness: [[0.9084126  0.09158742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.2646930901855]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.45212823264404]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.52374789596942]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.46272646995345]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.33797963038775]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.75265713626851]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.85867199775846]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.37352427679525]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.5399703713988]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.65546794360955]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.64608102527984]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.80697096491255]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.98569773795455]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.13572911616993]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.7376297263986]
Predicted rank: [0], ambiguousness: [[0.7830818  0.21691819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.28966637719981]
Predicted rank: [0], ambiguousness: [[0.85137296 0.14862701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.18330877397841]
Predicted rank: [0], ambiguousness: [[0.77337253 0.22662745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25657416443045]
Predicted rank: [0], ambiguousness: [[0.9031259  0.09687412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.25605880120497]
Predicted rank: [0], ambiguousness: [[0.8484651  0.15153494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.44349880731043]
Predicted rank: [0], ambiguousness: [[0.8458268  0.15417318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.51517862734869]
Predicted rank: [0], ambiguousness: [[0.92700624 0.07299374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.61337298359582]
Predicted rank: [0], ambiguousness: [[0.7601194  0.23988062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.40986438662917]
Predicted rank: [0], ambiguousness: [[0.681141   0.31885895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.9549006877259]
Predicted rank: [0], ambiguousness: [[0.7761514  0.22384855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.08086596509698]
Predicted rank: [0], ambiguousness: [[0.9162328  0.08376717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.91211068607284]
Predicted rank: [0], ambiguousness: [[0.8532479  0.14675209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.09523241519867]
Predicted rank: [0], ambiguousness: [[0.94467086 0.05532912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.22929074987016]
Predicted rank: [0], ambiguousness: [[0.8634221 0.1365779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.82187120509974]
Predicted rank: [0], ambiguousness: [[0.63942075 0.36057925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.09371869797009]
Predicted rank: [0], ambiguousness: [[0.8848483  0.11515173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.4520339520393]
Predicted rank: [0], ambiguousness: [[0.8210933 0.1789067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.0646196596908]
Predicted rank: [0], ambiguousness: [[0.852975   0.14702497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.34980214742404]
Predicted rank: [0], ambiguousness: [[0.7121283  0.28787175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.03477607199517]
Predicted rank: [0], ambiguousness: [[0.755792 0.244208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.85942130105101]
Predicted rank: [0], ambiguousness: [[0.6935626  0.30643734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.37124088770346]
Predicted rank: [0], ambiguousness: [[0.7729704 0.2270296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.49086566700825]
Predicted rank: [0], ambiguousness: [[0.9203698  0.07963018]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.24905205370587]
Predicted rank: [0], ambiguousness: [[0.8695412  0.13045877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.4248757082606]
Predicted rank: [0], ambiguousness: [[0.96034914 0.03965085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.55093493187594]
Predicted rank: [0], ambiguousness: [[0.87022936 0.1297706 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.32256518824016]
Predicted rank: [0], ambiguousness: [[0.63652647 0.3634735 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.63326060117791]
Predicted rank: [0], ambiguousness: [[0.8906761  0.10932392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.07570056926677]
Predicted rank: [0], ambiguousness: [[0.8283161  0.17168394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.9177567143118]
Predicted rank: [0], ambiguousness: [[0.8368638  0.16313617]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.6772345077544]
Predicted rank: [0], ambiguousness: [[0.64361143 0.3563886 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.98738051463788]
Predicted rank: [0], ambiguousness: [[0.7603534  0.23964663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.52541585643759]
Predicted rank: [0], ambiguousness: [[0.8527851  0.14721492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.4299508128289]
Predicted rank: [0], ambiguousness: [[0.7932583  0.20674172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.45815973547346]
Predicted rank: [0], ambiguousness: [[0.89374137 0.10625865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.46462666362918]
Predicted rank: [0], ambiguousness: [[0.84547406 0.15452594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.64834293317838]
Predicted rank: [0], ambiguousness: [[0.85550386 0.14449616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.71880941832734]
Predicted rank: [0], ambiguousness: [[0.9292457  0.07075429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.86250514241272]
Predicted rank: [0], ambiguousness: [[0.7844142  0.21558586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.67172996341685]
Predicted rank: [0], ambiguousness: [[0.6944821 0.3055179]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.20180171284353]
Predicted rank: [0], ambiguousness: [[0.81572425 0.18427572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.32501539480344]
Predicted rank: [0], ambiguousness: [[0.92771065 0.07228934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.12336216417448]
Predicted rank: [0], ambiguousness: [[0.8841289  0.11587108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.3034709108081]
Predicted rank: [0], ambiguousness: [[0.94568187 0.05431812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.4343019821415]
Predicted rank: [0], ambiguousness: [[0.8698237  0.13017634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.03615917851823]
Predicted rank: [0], ambiguousness: [[0.6936239 0.3063761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.30376790070315]
Predicted rank: [0], ambiguousness: [[0.88682145 0.11317856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.65474248606995]
Predicted rank: [0], ambiguousness: [[0.8348214  0.16517861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.24993100816815]
Predicted rank: [0], ambiguousness: [[0.8678521  0.13214791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.48396515101368]
Predicted rank: [0], ambiguousness: [[0.7314832  0.26851678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.76252601638191]
Predicted rank: [0], ambiguousness: [[0.75261575 0.24738425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.56377755969024]
Predicted rank: [0], ambiguousness: [[0.6704881  0.32951185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.11245901305112]
Predicted rank: [0], ambiguousness: [[0.771935   0.22806498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.23788849190171]
Predicted rank: [0], ambiguousness: [[0.91873926 0.08126076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.08983233660527]
Predicted rank: [0], ambiguousness: [[0.85951    0.14048998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.27040213768711]
Predicted rank: [0], ambiguousness: [[0.9527528  0.04724717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.40153505885154]
Predicted rank: [0], ambiguousness: [[0.85947347 0.14052653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.06824950341563]
Predicted rank: [0], ambiguousness: [[0.62946457 0.37053543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.39271744104136]
Predicted rank: [0], ambiguousness: [[0.8757171  0.12428292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.86306392658614]
Predicted rank: [0], ambiguousness: [[0.8080035 0.1919965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.78291249170518]
Predicted rank: [0], ambiguousness: [[0.83319664 0.16680336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.5819564877723]
Predicted rank: [0], ambiguousness: [[0.6116904  0.38830963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.4247217127482]
Predicted rank: [0], ambiguousness: [[0.62802905 0.37197095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.73650175967109]
Predicted rank: [0], ambiguousness: [[0.8936507 0.1063493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.18383268020719]
Predicted rank: [0], ambiguousness: [[0.82141256 0.17858742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.04598183773277]
Predicted rank: [0], ambiguousness: [[0.86398095 0.13601904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.0008842649743]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.9131197172281]
Predicted rank: [0], ambiguousness: [[0.72800696 0.27199304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.49389065226647]
Predicted rank: [0], ambiguousness: [[0.83302665 0.16697338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.60212013362148]
Predicted rank: [0], ambiguousness: [[0.83726203 0.16273794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.82744547487775]
Predicted rank: [0], ambiguousness: [[0.79426885 0.20573115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.96401871859229]
Predicted rank: [0], ambiguousness: [[0.8050476  0.19495244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.16486728365913]
Predicted rank: [0], ambiguousness: [[0.60965586 0.39034414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.8357368130643]
Predicted rank: [0], ambiguousness: [[0.6883297  0.31167033]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.23924074472971]
Predicted rank: [0], ambiguousness: [[0.8095908  0.19040917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.45196101902998]
Predicted rank: [0], ambiguousness: [[0.8081287  0.19187127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.67885346848826]
Predicted rank: [0], ambiguousness: [[0.73357755 0.26642245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.81607956723774]
Predicted rank: [0], ambiguousness: [[0.77267313 0.2273269 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.01553573830199]
Predicted rank: [0], ambiguousness: [[0.6171205 0.3828795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.16050530623274]
Predicted rank: [0], ambiguousness: [[0.8026768 0.1973232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.56970915517603]
Predicted rank: [0], ambiguousness: [[0.80296147 0.19703853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.17007849014678]
Predicted rank: [0], ambiguousness: [[0.8498076  0.15019237]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.37246250429448]
Predicted rank: [0], ambiguousness: [[0.88121897 0.11878102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.45855113027483]
Predicted rank: [0], ambiguousness: [[0.7338759 0.2661241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.2456770454269]
Predicted rank: [0], ambiguousness: [[0.785633   0.21436696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.48824939675319]
Predicted rank: [0], ambiguousness: [[0.8203935  0.17960648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.6355913850716]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.68967515339293]
Predicted rank: [0], ambiguousness: [[0.73618186 0.26381814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.85407281251878]
Predicted rank: [0], ambiguousness: [[0.6842743 0.3157257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.94940981449629]
Predicted rank: [0], ambiguousness: [[0.6825543 0.3174457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.99070554270025]
Predicted rank: [0], ambiguousness: [[0.8590677  0.14093232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.15657032486523]
Predicted rank: [0], ambiguousness: [[0.77969086 0.22030917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.37526787950048]
Predicted rank: [0], ambiguousness: [[0.789837   0.21016301]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.60216032895875]
Predicted rank: [0], ambiguousness: [[0.7107227  0.28927732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.73938642770824]
Predicted rank: [0], ambiguousness: [[0.7597554  0.24024463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.93884259877248]
Predicted rank: [0], ambiguousness: [[0.6091261  0.39087394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.80336051343653]
Predicted rank: [0], ambiguousness: [[0.7839479 0.2160521]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.27165613554341]
Predicted rank: [0], ambiguousness: [[0.79624    0.20376003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.90889503460193]
Predicted rank: [0], ambiguousness: [[0.84010756 0.15989242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.11655960097514]
Predicted rank: [0], ambiguousness: [[0.8738438  0.12615623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.19348470433171]
Predicted rank: [0], ambiguousness: [[0.74545914 0.25454086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.09435644738491]
Predicted rank: [0], ambiguousness: [[0.7784835  0.22151649]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.33841932228091]
Predicted rank: [0], ambiguousness: [[0.8149479  0.18505208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48408495349224]
Predicted rank: [0], ambiguousness: [[0.7652188  0.23478119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.54132859508358]
Predicted rank: [0], ambiguousness: [[0.7357267  0.26427332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.70421056341944]
Predicted rank: [0], ambiguousness: [[0.6953201  0.30467987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.80017997650108]
Predicted rank: [0], ambiguousness: [[0.68839836 0.3116016 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.84168790697665]
Predicted rank: [0], ambiguousness: [[0.8473999  0.15260012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.11171784839888]
Predicted rank: [0], ambiguousness: [[0.8029033  0.19709674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.99742015220045]
Predicted rank: [0], ambiguousness: [[0.79083544 0.20916456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.81679477189275]
Predicted rank: [0], ambiguousness: [[0.8231021 0.1768979]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.03474076170261]
Predicted rank: [0], ambiguousness: [[0.86545956 0.13454045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.1002996240886]
Predicted rank: [0], ambiguousness: [[0.7165302 0.2834698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.01070351497725]
Predicted rank: [0], ambiguousness: [[0.7024987  0.29750136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.41468869293958]
Predicted rank: [0], ambiguousness: [[0.79197925 0.20802073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.39273578723635]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.98892556124522]
Predicted rank: [0], ambiguousness: [[0.84026074 0.15973923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.02806497570785]
Predicted rank: [0], ambiguousness: [[0.8010075  0.19899249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.1887844195852]
Predicted rank: [0], ambiguousness: [[0.8100582  0.18994182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.25207534275506]
Predicted rank: [0], ambiguousness: [[0.90343904 0.09656096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.07034101980119]
Predicted rank: [0], ambiguousness: [[0.75309336 0.24690665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16161832016613]
Predicted rank: [0], ambiguousness: [[0.72225344 0.27774653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.38207929682079]
Predicted rank: [0], ambiguousness: [[0.77260256 0.22739747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.44297383570833]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.54856656729754]
Predicted rank: [0], ambiguousness: [[0.6779597  0.32204032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.65544685953273]
Predicted rank: [0], ambiguousness: [[0.89148915 0.10851087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.70936808371333]
Predicted rank: [0], ambiguousness: [[0.6975565  0.30244353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.6983510817094]
Predicted rank: [0], ambiguousness: [[0.7991865  0.20081346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.18835538506669]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.82811863827027]
Predicted rank: [0], ambiguousness: [[0.85413444 0.14586554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.03605273043163]
Predicted rank: [0], ambiguousness: [[0.8879133  0.11208674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.11254681479429]
Predicted rank: [0], ambiguousness: [[0.76484716 0.23515286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.0199211897417]
Predicted rank: [0], ambiguousness: [[0.78416187 0.21583813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.26398406463768]
Predicted rank: [0], ambiguousness: [[0.8236927  0.17630734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.40964969584901]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.46689333744037]
Predicted rank: [0], ambiguousness: [[0.7597915  0.24020852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.6297753057762]
Predicted rank: [0], ambiguousness: [[0.70382977 0.29617026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.72574471885787]
Predicted rank: [0], ambiguousness: [[0.7024474  0.29755256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.76725264933341]
Predicted rank: [0], ambiguousness: [[0.8403241 0.1596759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.71164567520594]
Predicted rank: [0], ambiguousness: [[0.80358326 0.19641677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.52139963046511]
Predicted rank: [0], ambiguousness: [[0.7989553  0.20104471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.44869772164756]
Predicted rank: [0], ambiguousness: [[0.8423254  0.15767461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.67643826151772]
Predicted rank: [0], ambiguousness: [[0.87963325 0.12036676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.72695705603725]
Predicted rank: [0], ambiguousness: [[0.7542101  0.24578989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.69566520923307]
Predicted rank: [0], ambiguousness: [[0.71606255 0.28393745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.11531482225783]
Predicted rank: [0], ambiguousness: [[0.8009317  0.19906832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.07906563940404]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.7265351243283]
Predicted rank: [0], ambiguousness: [[0.86554676 0.13445325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.75564684094988]
Predicted rank: [0], ambiguousness: [[0.8315681  0.16843188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.92164650288798]
Predicted rank: [0], ambiguousness: [[0.8442123 0.1557877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.98665144747017]
Predicted rank: [0], ambiguousness: [[0.9121454  0.08785462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.9205530019268]
Predicted rank: [0], ambiguousness: [[0.7632189  0.23678114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.00990830341523]
Predicted rank: [0], ambiguousness: [[0.7392428 0.2607572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.23202608004277]
Predicted rank: [0], ambiguousness: [[0.7805606  0.21943939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.29324569367644]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.3999783205509]
Predicted rank: [0], ambiguousness: [[0.6951842  0.30481583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.50736752684686]
Predicted rank: [0], ambiguousness: [[0.8910545  0.10894551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.56183337728292]
Predicted rank: [0], ambiguousness: [[0.6940371 0.3059629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.91672534150761]
Predicted rank: [0], ambiguousness: [[0.79267114 0.20732884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.76950599429568]
Predicted rank: [0], ambiguousness: [[0.894215 0.105785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.98801396322204]
Predicted rank: [0], ambiguousness: [[0.8844646  0.11553538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.05287145687569]
Predicted rank: [0], ambiguousness: [[0.75656354 0.24343646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.34069463620727]
Predicted rank: [0], ambiguousness: [[0.7093078  0.29069224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.83055672267383]
Predicted rank: [0], ambiguousness: [[0.79473674 0.20526324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.76047969847548]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.6281742495625]
Predicted rank: [0], ambiguousness: [[0.84566736 0.15433261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64469566374115]
Predicted rank: [0], ambiguousness: [[0.80505335 0.19494663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.82160833684108]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.88986183741112]
Predicted rank: [0], ambiguousness: [[0.9079153  0.09208473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.75818395425088]
Predicted rank: [0], ambiguousness: [[0.68294996 0.31705004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.65041275179416]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.04751515116911]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.1499612568651]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.62662717293566]
Predicted rank: [0], ambiguousness: [[0.8157593  0.18424067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.788816538302]
Predicted rank: [0], ambiguousness: [[0.93969655 0.06030347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.89972056315081]
Predicted rank: [0], ambiguousness: [[0.8341471  0.16585293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.77287175873674]
Predicted rank: [0], ambiguousness: [[0.6878997  0.31210026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.93288942004564]
Predicted rank: [0], ambiguousness: [[0.9111424  0.08885758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.11012729755569]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.25881979458907]
Predicted rank: [0], ambiguousness: [[0.69258356 0.30741644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.58451636741484]
Predicted rank: [0], ambiguousness: [[0.79206914 0.20793086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.40108839326041]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.34809518033427]
Predicted rank: [0], ambiguousness: [[0.842755   0.15724498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.5771582791182]
Predicted rank: [0], ambiguousness: [[0.8843235 0.1156765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.6258854416212]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.61730310231326]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.03795713305927]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.000942245849]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.65173050707938]
Predicted rank: [0], ambiguousness: [[0.8782315 0.1217685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.68036894015624]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.84664209862252]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.91173257721879]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.85225805277517]
Predicted rank: [0], ambiguousness: [[0.7707712  0.22922881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.94161335426361]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.16373113089114]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.22495074452479]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.33168337139928]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.43907257769521]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.4935384281313]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.36855321677707]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.36146308070528]
Predicted rank: [0], ambiguousness: [[0.85293144 0.14706855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.59032845090529]
Predicted rank: [0], ambiguousness: [[0.8755068  0.12449319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.63944406285903]
Predicted rank: [0], ambiguousness: [[0.7405976  0.25940242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.82010320157043]
Predicted rank: [0], ambiguousness: [[0.71606255 0.28393745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.35257136858672]
Predicted rank: [0], ambiguousness: [[0.8009317  0.19906832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.25344619750177]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25974031782894]
Predicted rank: [0], ambiguousness: [[0.8549064 0.1450936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.25978221554539]
Predicted rank: [0], ambiguousness: [[0.8188017 0.1811983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.44665882915288]
Predicted rank: [0], ambiguousness: [[0.839476 0.160524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.5181017531701]
Predicted rank: [0], ambiguousness: [[0.91123927 0.08876076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.44202798247363]
Predicted rank: [0], ambiguousness: [[0.69120777 0.30879223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.31713321463431]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.7318093223338]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.83784364208007]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.35249982715361]
Predicted rank: [0], ambiguousness: [[0.846014   0.15398595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.51899622229502]
Predicted rank: [0], ambiguousness: [[0.94163525 0.05836475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.634541107464]
Predicted rank: [0], ambiguousness: [[0.849977   0.15002297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.62555194060496]
Predicted rank: [0], ambiguousness: [[0.7017964  0.29820356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.7864993748187]
Predicted rank: [0], ambiguousness: [[0.9106975  0.08930249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.96532345522772]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.11544885383361]
Predicted rank: [0], ambiguousness: [[0.70045435 0.29954565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.25296510580279]
Predicted rank: [0], ambiguousness: [[0.72847164 0.27152836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.75436333214495]
Predicted rank: [0], ambiguousness: [[0.79380757 0.20619242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.67967138507211]
Predicted rank: [0], ambiguousness: [[0.7495129 0.2504871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.58648733180517]
Predicted rank: [0], ambiguousness: [[0.8765522  0.12344776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.6022565495956]
Predicted rank: [0], ambiguousness: [[0.86313987 0.13686012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.77973871004761]
Predicted rank: [0], ambiguousness: [[0.8317105  0.16828947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.8482037234701]
Predicted rank: [0], ambiguousness: [[0.9199786  0.08002137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.06054647865622]
Predicted rank: [0], ambiguousness: [[0.68294996 0.31705004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.89118862270942]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.38953864900064]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.50751180435205]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.22763730066599]
Predicted rank: [0], ambiguousness: [[0.80838746 0.19161253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.40297393985087]
Predicted rank: [0], ambiguousness: [[0.9369001  0.06309994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.5286272193669]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.09030892226951]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.35331330512352]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.69575200293592]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.26769015736288]
Predicted rank: [0], ambiguousness: [[0.8153577  0.18464229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.42823299431981]
Predicted rank: [0], ambiguousness: [[0.6944639 0.3055361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.22388288730662]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.25150076059735]
Predicted rank: [0], ambiguousness: [[0.84374774 0.1562523 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.481851870058]
Predicted rank: [0], ambiguousness: [[0.86751384 0.13248618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.52897833356371]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.71036163681707]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.24995209642194]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.14673821190465]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.17640269422967]
Predicted rank: [0], ambiguousness: [[0.8684424 0.1315576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.1745647857419]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.36274824972924]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.43460721498067]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.38048080609511]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.25469298872906]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.67046375700265]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.7766972358778]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.29393151051158]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.4606347011372]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.57641064105437]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.5739779877972]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.73492464369883]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.91374740959739]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.0638717176817]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.65635747579938]
Predicted rank: [0], ambiguousness: [[0.7074363  0.29256365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.21129439299757]
Predicted rank: [0], ambiguousness: [[0.79325503 0.20674495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.1031405512426]
Predicted rank: [0], ambiguousness: [[0.7488792 0.2511208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.18591145581121]
Predicted rank: [0], ambiguousness: [[0.86196387 0.13803612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.18447832823335]
Predicted rank: [0], ambiguousness: [[0.8215762  0.17842382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.37247572701887]
Predicted rank: [0], ambiguousness: [[0.8185699  0.18143012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.44433545603891]
Predicted rank: [0], ambiguousness: [[0.9126187  0.08738131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.53673408813574]
Predicted rank: [0], ambiguousness: [[0.6892709 0.3107291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.33132208808601]
Predicted rank: [0], ambiguousness: [[0.66113156 0.33886844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.87894700309155]
Predicted rank: [0], ambiguousness: [[0.76000345 0.23999658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.00535579580762]
Predicted rank: [0], ambiguousness: [[0.9090053  0.09099472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.84272855652117]
Predicted rank: [0], ambiguousness: [[0.83325666 0.16674335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.02628424069516]
Predicted rank: [0], ambiguousness: [[0.93620247 0.06379752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.1608120653529]
Predicted rank: [0], ambiguousness: [[0.8445643 0.1554357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.75511866745663]
Predicted rank: [0], ambiguousness: [[0.6182605 0.3817395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.02745833986998]
Predicted rank: [0], ambiguousness: [[0.8752814  0.12471858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.38665950822951]
Predicted rank: [0], ambiguousness: [[0.8073827  0.19261728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.00149723687593]
Predicted rank: [0], ambiguousness: [[0.8364775  0.16352247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.29335402224316]
Predicted rank: [0], ambiguousness: [[0.6931874  0.30681258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.98206630405548]
Predicted rank: [0], ambiguousness: [[0.67619634 0.3238037 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.80633003273593]
Predicted rank: [0], ambiguousness: [[0.66582674 0.33417326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.31862551017151]
Predicted rank: [0], ambiguousness: [[0.74982923 0.25017077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.43833464975894]
Predicted rank: [0], ambiguousness: [[0.9105137  0.08948629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.19758669829535]
Predicted rank: [0], ambiguousness: [[0.84666884 0.15333113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.37349846675926]
Predicted rank: [0], ambiguousness: [[0.9525283  0.04747171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.49965175200319]
Predicted rank: [0], ambiguousness: [[0.8474565 0.1525435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.26946055860282]
Predicted rank: [0], ambiguousness: [[0.60655665 0.39344335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.58037815160313]
Predicted rank: [0], ambiguousness: [[0.87763333 0.12236668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.02323928047264]
Predicted rank: [0], ambiguousness: [[0.80942535 0.19057462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.8663675895091]
Predicted rank: [0], ambiguousness: [[0.8095174  0.19048259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.62586739103303]
Predicted rank: [0], ambiguousness: [[0.61387134 0.38612866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.59003019745549]
Predicted rank: [0], ambiguousness: [[0.6937741 0.3062259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.15254599559175]
Predicted rank: [0], ambiguousness: [[0.78236747 0.2176325 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.04103436567046]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.14883423661797]
Predicted rank: [0], ambiguousness: [[0.84467983 0.15532015]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.14648962627598]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.33521192203217]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.40730998853873]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.50359556705254]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.29569256328492]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.84774014121646]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.97481059525697]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.82366343048454]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.00771169376048]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.14276552451565]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.75295523554793]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.025279568822]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.38452381036234]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.99963401522857]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.29119901019709]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.4240638403845]
Predicted rank: [0], ambiguousness: [[0.6795939  0.32040605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.20838180478651]
Predicted rank: [0], ambiguousness: [[0.63919616 0.3608038 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.77985927243452]
Predicted rank: [0], ambiguousness: [[0.7466365  0.25336352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.90913511518404]
Predicted rank: [0], ambiguousness: [[0.9113777  0.08862225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.81482471553943]
Predicted rank: [0], ambiguousness: [[0.8269053  0.17309469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.99906342466134]
Predicted rank: [0], ambiguousness: [[0.9426942 0.0573058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.13409448959082]
Predicted rank: [0], ambiguousness: [[0.8330363 0.1669637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.72865414946736]
Predicted rank: [0], ambiguousness: [[0.60626626 0.39373377]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.06255685383866]
Predicted rank: [0], ambiguousness: [[0.8696603 0.1303397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.55112626149855]
Predicted rank: [0], ambiguousness: [[0.7994027  0.20059729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.51851792792462]
Predicted rank: [0], ambiguousness: [[0.81655663 0.18344338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.32394688268857]
Predicted rank: [0], ambiguousness: [[0.59866357 0.40133646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.20671011989066]
Predicted rank: [0], ambiguousness: [[0.5940944  0.40590563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.52331201141635]
Predicted rank: [0], ambiguousness: [[0.88385826 0.11614174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.97977460664677]
Predicted rank: [0], ambiguousness: [[0.8064095 0.1935905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.86487104891071]
Predicted rank: [0], ambiguousness: [[0.8445253  0.15547471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.78420720972835]
Predicted rank: [0], ambiguousness: [[0.61060756 0.38939244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.67981436334571]
Predicted rank: [0], ambiguousness: [[0.68202853 0.3179715 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.47740385603804]
Predicted rank: [0], ambiguousness: [[0.63385713 0.3661429 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.03283753100195]
Predicted rank: [0], ambiguousness: [[0.7681649 0.2318351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.15921684695144]
Predicted rank: [0], ambiguousness: [[0.917221 0.082779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.02884229540503]
Predicted rank: [0], ambiguousness: [[0.8273503  0.17264967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.21000821181597]
Predicted rank: [0], ambiguousness: [[0.9390398  0.06096016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.3417591627184]
Predicted rank: [0], ambiguousness: [[0.8288471  0.17115289]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.00317405354505]
Predicted rank: [0], ambiguousness: [[0.6628252 0.3371748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.32942558544715]
Predicted rank: [0], ambiguousness: [[0.8718561  0.12814394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.80349010766002]
Predicted rank: [0], ambiguousness: [[0.81441903 0.185581  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.73385517235415]
Predicted rank: [0], ambiguousness: [[0.83440334 0.16559666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.54370646812812]
Predicted rank: [0], ambiguousness: [[0.6215936  0.37840644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.8835820901322]
Predicted rank: [0], ambiguousness: [[0.6004969 0.3995031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.21757257607005]
Predicted rank: [0], ambiguousness: [[0.8700193  0.12998068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.71046561254806]
Predicted rank: [0], ambiguousness: [[0.7985415 0.2014585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.69987048056731]
Predicted rank: [0], ambiguousness: [[0.826763   0.17323704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.5144111388262]
Predicted rank: [0], ambiguousness: [[0.5776702  0.42232978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.8861711916469]
Predicted rank: [0], ambiguousness: [[0.5913539  0.40864608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.83577976875581]
Predicted rank: [0], ambiguousness: [[0.7225125 0.2774875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.23928369015155]
Predicted rank: [0], ambiguousness: [[0.83522004 0.16477995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.45200396445179]
Predicted rank: [0], ambiguousness: [[0.8323722  0.16762781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.67889641391008]
Predicted rank: [0], ambiguousness: [[0.7644957  0.23550431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.81612251265955]
Predicted rank: [0], ambiguousness: [[0.8002894  0.19971062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.01557868372382]
Predicted rank: [0], ambiguousness: [[0.5693356  0.43066445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.16054825165455]
Predicted rank: [0], ambiguousness: [[0.8274621  0.17253795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.56975210059784]
Predicted rank: [0], ambiguousness: [[0.8277187  0.17228132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.1701214355686]
Predicted rank: [0], ambiguousness: [[0.8667114 0.1332886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.37250544971629]
Predicted rank: [0], ambiguousness: [[0.8973998  0.10260022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.45859407569665]
Predicted rank: [0], ambiguousness: [[0.7084789  0.29152104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.24571999084873]
Predicted rank: [0], ambiguousness: [[0.81205785 0.18794216]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.48829234217501]
Predicted rank: [0], ambiguousness: [[0.84338766 0.15661234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.63563433049343]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.68971809881475]
Predicted rank: [0], ambiguousness: [[0.7668938 0.2331062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.85411575794063]
Predicted rank: [0], ambiguousness: [[0.63998103 0.36001894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.94945275991813]
Predicted rank: [0], ambiguousness: [[0.63814735 0.36185262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.99074848812207]
Predicted rank: [0], ambiguousness: [[0.8257129  0.17428708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.15589025440612]
Predicted rank: [0], ambiguousness: [[0.83078575 0.16921425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.37458780887124]
Predicted rank: [0], ambiguousness: [[0.82747746 0.17252257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.60148025832952]
Predicted rank: [0], ambiguousness: [[0.7581947  0.24180533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.73870635707901]
Predicted rank: [0], ambiguousness: [[0.801429   0.19857101]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.93816252814327]
Predicted rank: [0], ambiguousness: [[0.5715586  0.42844138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.80268043253761]
Predicted rank: [0], ambiguousness: [[0.82715815 0.17284185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.27097605464448]
Predicted rank: [0], ambiguousness: [[0.8274151 0.1725849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.90821495370301]
Predicted rank: [0], ambiguousness: [[0.871051   0.12894899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.11587952007622]
Predicted rank: [0], ambiguousness: [[0.9013376  0.09866235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.19280462343279]
Predicted rank: [0], ambiguousness: [[0.7367379 0.2632621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.093676366486]
Predicted rank: [0], ambiguousness: [[0.811733   0.18826702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.33773924138198]
Predicted rank: [0], ambiguousness: [[0.8438221  0.15617788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48340487259333]
Predicted rank: [0], ambiguousness: [[0.72842175 0.27157825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.54064851418467]
Predicted rank: [0], ambiguousness: [[0.7735269  0.22647308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.70353048252053]
Predicted rank: [0], ambiguousness: [[0.65254223 0.3474578 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.79949989560215]
Predicted rank: [0], ambiguousness: [[0.6451446 0.3548554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.84100782607773]
Predicted rank: [0], ambiguousness: [[0.8153273  0.18467268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.11103776749995]
Predicted rank: [0], ambiguousness: [[0.83731437 0.1626856 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.9967400713015]
Predicted rank: [0], ambiguousness: [[0.8162992  0.18370081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.8161146909938]
Predicted rank: [0], ambiguousness: [[0.8546252  0.14537477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.03406068080369]
Predicted rank: [0], ambiguousness: [[0.8904393  0.10956074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.09961954318969]
Predicted rank: [0], ambiguousness: [[0.6958914  0.30410862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.0100234340783]
Predicted rank: [0], ambiguousness: [[0.73511446 0.26488554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.41400861204065]
Predicted rank: [0], ambiguousness: [[0.8173359  0.18266411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.39205570633742]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.98824548034631]
Predicted rank: [0], ambiguousness: [[0.86628103 0.13371894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.02738489480892]
Predicted rank: [0], ambiguousness: [[0.7803241 0.2196759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.18810433868629]
Predicted rank: [0], ambiguousness: [[0.79427385 0.20572618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.25139526185615]
Predicted rank: [0], ambiguousness: [[0.8921751  0.10782495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.06966093890227]
Predicted rank: [0], ambiguousness: [[0.78188455 0.21811548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16093823926721]
Predicted rank: [0], ambiguousness: [[0.67212975 0.32787022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.38139921592187]
Predicted rank: [0], ambiguousness: [[0.72814506 0.27185494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.44229375480941]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.54788648639862]
Predicted rank: [0], ambiguousness: [[0.62400377 0.37599623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.65476677863381]
Predicted rank: [0], ambiguousness: [[0.8622067  0.13779333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.7086880028144]
Predicted rank: [0], ambiguousness: [[0.64516544 0.35483456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.69536624510526]
Predicted rank: [0], ambiguousness: [[0.79237115 0.20762885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.18537054684396]
Predicted rank: [0], ambiguousness: [[0.8038622  0.19613777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.82513379996877]
Predicted rank: [0], ambiguousness: [[0.84342587 0.15657412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.03306789212228]
Predicted rank: [0], ambiguousness: [[0.88367087 0.11632914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.10956197649716]
Predicted rank: [0], ambiguousness: [[0.7256485  0.27435145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.01693635125949]
Predicted rank: [0], ambiguousness: [[0.78659195 0.21340805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.26099922615548]
Predicted rank: [0], ambiguousness: [[0.8280636  0.17193642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.4066648573668]
Predicted rank: [0], ambiguousness: [[0.7320384  0.26796165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.46390849895815]
Predicted rank: [0], ambiguousness: [[0.76529515 0.23470484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.62679046729403]
Predicted rank: [0], ambiguousness: [[0.65669304 0.34330696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.72275988037563]
Predicted rank: [0], ambiguousness: [[0.6587995  0.34120044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.76426781085121]
Predicted rank: [0], ambiguousness: [[0.81698656 0.18301345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.70866082645404]
Predicted rank: [0], ambiguousness: [[0.7948475  0.20515253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.51841478171322]
Predicted rank: [0], ambiguousness: [[0.80379343 0.19620658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.44571287289567]
Predicted rank: [0], ambiguousness: [[0.8344795  0.16552049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.67345341276584]
Predicted rank: [0], ambiguousness: [[0.87512153 0.12487847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.72397220728536]
Predicted rank: [0], ambiguousness: [[0.71163046 0.28836957]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.69268036048118]
Predicted rank: [0], ambiguousness: [[0.71898454 0.28101546]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.11232997350594]
Predicted rank: [0], ambiguousness: [[0.80573374 0.19426626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.07608079065216]
Predicted rank: [0], ambiguousness: [[0.723282   0.27671802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.7235502755764]
Predicted rank: [0], ambiguousness: [[0.8574981 0.1425019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.75266199219799]
Predicted rank: [0], ambiguousness: [[0.7920593  0.20794071]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.91866165413609]
Predicted rank: [0], ambiguousness: [[0.81336606 0.18663397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.98366659871827]
Predicted rank: [0], ambiguousness: [[0.8975031  0.10249692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.91756815317493]
Predicted rank: [0], ambiguousness: [[0.76866794 0.23133205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.00692345466334]
Predicted rank: [0], ambiguousness: [[0.6953023 0.3046977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.22904123129088]
Predicted rank: [0], ambiguousness: [[0.74419856 0.25580147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.29026084492455]
Predicted rank: [0], ambiguousness: [[0.89529717 0.10470282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.39699347179901]
Predicted rank: [0], ambiguousness: [[0.6510002 0.3489998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.50438267809496]
Predicted rank: [0], ambiguousness: [[0.86782175 0.13217826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.55884852853103]
Predicted rank: [0], ambiguousness: [[0.65022165 0.34977835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.91374049275572]
Predicted rank: [0], ambiguousness: [[0.79559606 0.20440395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.76652114554379]
Predicted rank: [0], ambiguousness: [[0.8873659  0.11263411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.98502911447014]
Predicted rank: [0], ambiguousness: [[0.8787835  0.12121647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.0498866081238]
Predicted rank: [0], ambiguousness: [[0.7116779 0.2883221]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.33770978745538]
Predicted rank: [0], ambiguousness: [[0.70970166 0.29029834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.82757187392194]
Predicted rank: [0], ambiguousness: [[0.79763997 0.20236006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.75749484972359]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.62518940081063]
Predicted rank: [0], ambiguousness: [[0.83842707 0.16157296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64171081498927]
Predicted rank: [0], ambiguousness: [[0.7634738 0.2365262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.8186234880892]
Predicted rank: [0], ambiguousness: [[0.78288555 0.21711448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.88687698865922]
Predicted rank: [0], ambiguousness: [[0.89036846 0.10963154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.755199105499]
Predicted rank: [0], ambiguousness: [[0.6868111  0.31318888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.64742790304228]
Predicted rank: [0], ambiguousness: [[0.58851194 0.41148803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.0445303024172]
Predicted rank: [0], ambiguousness: [[0.7073758  0.29262418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.1469764081132]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.62364232418376]
Predicted rank: [0], ambiguousness: [[0.7741601 0.2258399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.78583168955012]
Predicted rank: [0], ambiguousness: [[0.9221232  0.07787682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.89673571439891]
Predicted rank: [0], ambiguousness: [[0.80009806 0.19990191]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.76988690998485]
Predicted rank: [0], ambiguousness: [[0.6403268 0.3596732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.92990457129376]
Predicted rank: [0], ambiguousness: [[0.8904588 0.1095412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.10714244880378]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.25583494583718]
Predicted rank: [0], ambiguousness: [[0.6458101  0.35418987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.57530172543258]
Predicted rank: [0], ambiguousness: [[0.81803644 0.18196356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.39189282831802]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.33891957488191]
Predicted rank: [0], ambiguousness: [[0.8615888  0.13841121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.56798388022375]
Predicted rank: [0], ambiguousness: [[0.90022105 0.09977896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.61670945030764]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.60815262249673]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.02880721490999]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.99179191668682]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.64258201528943]
Predicted rank: [0], ambiguousness: [[0.8924395  0.10756055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.6712202003184]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.8374935047486]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.90258402847229]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.84311297703943]
Predicted rank: [0], ambiguousness: [[0.7987224  0.20127764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.93246827852786]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.15458605515539]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.21580566878907]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.32253829566353]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.42992750195948]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.48439335239554]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.35954893856228]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.35245880249047]
Predicted rank: [0], ambiguousness: [[0.8707334  0.12926665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.5813241726905]
Predicted rank: [0], ambiguousness: [[0.8924687  0.10753132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.63043978464424]
Predicted rank: [0], ambiguousness: [[0.7135389  0.28646114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.81109892335563]
Predicted rank: [0], ambiguousness: [[0.74548805 0.25451195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.34356709037192]
Predicted rank: [0], ambiguousness: [[0.8260352  0.17396478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.24444191928697]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25073603961414]
Predicted rank: [0], ambiguousness: [[0.874272   0.12572804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.25077793733058]
Predicted rank: [0], ambiguousness: [[0.7950808  0.20491923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.43765455093808]
Predicted rank: [0], ambiguousness: [[0.82022786 0.17977215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.5090974749553]
Predicted rank: [0], ambiguousness: [[0.8995666 0.1004334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.43302370425883]
Predicted rank: [0], ambiguousness: [[0.72540426 0.27459574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.30812893641951]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.72280504411901]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.82883936386528]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.34349554893882]
Predicted rank: [0], ambiguousness: [[0.82371044 0.17628959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.50999194408021]
Predicted rank: [0], ambiguousness: [[0.92849374 0.07150628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.6255368292492]
Predicted rank: [0], ambiguousness: [[0.8317356  0.16826436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.61654766239016]
Predicted rank: [0], ambiguousness: [[0.65896475 0.34103522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.7774950966039]
Predicted rank: [0], ambiguousness: [[0.8879385  0.11206149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.95631917701292]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.10644457561881]
Predicted rank: [0], ambiguousness: [[0.657524   0.34247598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.243960827588]
Predicted rank: [0], ambiguousness: [[0.7570474  0.24295257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.74535905393014]
Predicted rank: [0], ambiguousness: [[0.8196072  0.18039279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.67066710685731]
Predicted rank: [0], ambiguousness: [[0.71070975 0.28929025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.57748305359038]
Predicted rank: [0], ambiguousness: [[0.89338905 0.10661098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.5932522713808]
Predicted rank: [0], ambiguousness: [[0.84411836 0.15588167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.7707344318328]
Predicted rank: [0], ambiguousness: [[0.81174004 0.18825994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.8391994452553]
Predicted rank: [0], ambiguousness: [[0.909341   0.09065904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.05154220044142]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.88218434449462]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.38053437078585]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.49850752613725]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.2186330224512]
Predicted rank: [0], ambiguousness: [[0.78636026 0.21363972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.39396966163606]
Predicted rank: [0], ambiguousness: [[0.9245802  0.07541977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.51962294115211]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.08130464405471]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.34430902690872]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.68674772472113]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.25868587914809]
Predicted rank: [0], ambiguousness: [[0.7897174  0.21028262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.41922871610501]
Predicted rank: [0], ambiguousness: [[0.65110266 0.34889734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.19413400665982]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.22325475405074]
Predicted rank: [0], ambiguousness: [[0.862482 0.137518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.45367163239236]
Predicted rank: [0], ambiguousness: [[0.88542217 0.11457781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.50070863657851]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.68210668076007]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.22200395620878]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.11861043328757]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.14928309028087]
Predicted rank: [0], ambiguousness: [[0.88624173 0.11375827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.14736048698691]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.33560164552443]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.40747902902315]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.35423434245737]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.22839835384414]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.64422517487104]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.75046917897868]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.26783273156985]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.43454735297287]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.5503359508615]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.54825031221924]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.70919774643298]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.88802182684199]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.03814722544789]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.63271582754007]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.18776935321691]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.07954936093394]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.16270370143411]
Predicted rank: [0], ambiguousness: [[0.8811758  0.11882417]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.16124048401325]
Predicted rank: [0], ambiguousness: [[0.7991351  0.20086491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.34925722948377]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.42112316947542]
Predicted rank: [0], ambiguousness: [[0.90166396 0.09833606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.51335216294461]
Predicted rank: [0], ambiguousness: [[0.72540426 0.27459574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.3078740567351]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.85559440855688]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.9820190389805]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.81962316408388]
Predicted rank: [0], ambiguousness: [[0.8143762  0.18562382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.00319353825574]
Predicted rank: [0], ambiguousness: [[0.924197   0.07580297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.13773736758961]
Predicted rank: [0], ambiguousness: [[0.8266979  0.17330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.73215303475273]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.00450751725583]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.3637362916289]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.97864705922329]
Predicted rank: [0], ambiguousness: [[0.81404674 0.18595327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.27071125657068]
Predicted rank: [0], ambiguousness: [[0.65179515 0.34820482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.95978176764787]
Predicted rank: [0], ambiguousness: [[0.70988464 0.29011533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.78404549632833]
Predicted rank: [0], ambiguousness: [[0.6151537  0.38484633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.2963409737639]
Predicted rank: [0], ambiguousness: [[0.7095789 0.2904211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.41605011335133]
Predicted rank: [0], ambiguousness: [[0.8924065  0.10759348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.17530216188774]
Predicted rank: [0], ambiguousness: [[0.8266811  0.17331892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.35121393035166]
Predicted rank: [0], ambiguousness: [[0.9425361 0.0574639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.47736721559559]
Predicted rank: [0], ambiguousness: [[0.82755053 0.17244944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.24717602219522]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.5580936151955]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.00095474406504]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.84408305310149]
Predicted rank: [0], ambiguousness: [[0.7859113 0.2140887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.60358285462543]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.47346766870358]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.04120852752558]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 104.92678339395425]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.05177290391916]
Predicted rank: [0], ambiguousness: [[0.8651951  0.13480489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.04813574631346]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.23768089910375]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.31004619397856]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.40080827118263]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.1901007924007]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.74619241505525]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.87393450066182]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.73259982754638]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.91727006479343]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.05299384995757]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.6688131115001]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.94171217729595]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.3020039418507]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.91980512735077]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.21913828336973]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.3417530105018]
Predicted rank: [0], ambiguousness: [[0.7158484 0.2841516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.12380201094095]
Predicted rank: [0], ambiguousness: [[0.59027725 0.40972275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.69867326788759]
Predicted rank: [0], ambiguousness: [[0.7088834 0.2911166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.82849205617038]
Predicted rank: [0], ambiguousness: [[0.8947107  0.10528926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.7425678802623]
Predicted rank: [0], ambiguousness: [[0.80749357 0.19250643]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.92727211410502]
Predicted rank: [0], ambiguousness: [[0.9318303  0.06816971]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.06280000754788]
Predicted rank: [0], ambiguousness: [[0.81415766 0.18584235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.64816954703348]
Predicted rank: [0], ambiguousness: [[0.57076883 0.4292312 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.98334776880156]
Predicted rank: [0], ambiguousness: [[0.8450324  0.15496759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.47445122010642]
Predicted rank: [0], ambiguousness: [[0.7748513 0.2251487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.44869778619726]
Predicted rank: [0], ambiguousness: [[0.8033357  0.19666426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.25669395537722]
Predicted rank: [0], ambiguousness: [[0.5629747 0.4370253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.15334369986549]
Predicted rank: [0], ambiguousness: [[0.5492109 0.4507891]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.47018525730954]
Predicted rank: [0], ambiguousness: [[0.8570384  0.14296165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.92711139001283]
Predicted rank: [0], ambiguousness: [[0.7761574  0.22384262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.81340466872446]
Predicted rank: [0], ambiguousness: [[0.8277262  0.17227383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.73095556391772]
Predicted rank: [0], ambiguousness: [[0.56621677 0.43378323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.27267689940567]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.05020632073655]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 104.63417100720957]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 104.76520625771755]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.7035656558239]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.88891470091293]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.0250984793343]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.60936377397724]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.94659349930373]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.4420962631637]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.42908508777356]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.25457896354607]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.5102349778156]
Predicted rank: [0], ambiguousness: [[0.5530603 0.4469397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 103.85538323485213]
Predicted rank: [0], ambiguousness: [[0.8449127  0.15508729]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.3706085991169]
Predicted rank: [0], ambiguousness: [[0.77319896 0.22680105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.42012973122993]
Predicted rank: [0], ambiguousness: [[0.8060802 0.1939198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.16382449106092]
Predicted rank: [0], ambiguousness: [[0.55050635 0.44949365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.66247245577878]
Predicted rank: [0], ambiguousness: [[0.55341744 0.44658253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.79262775120617]
Predicted rank: [0], ambiguousness: [[0.5818247  0.41817528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.12965867670098]
Predicted rank: [0], ambiguousness: [[0.8361069  0.16389309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.6292972969644]
Predicted rank: [0], ambiguousness: [[0.77515763 0.22484237]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.6382983854295]
Predicted rank: [0], ambiguousness: [[0.7894859  0.21051414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.44750200595355]
Predicted rank: [0], ambiguousness: [[0.57423097 0.42576903]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.32016455229135]
Predicted rank: [0], ambiguousness: [[0.54917914 0.45082086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.41096437526551]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.49946875928401]
Predicted rank: [0], ambiguousness: [[0.70392966 0.29607034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.18057997905638]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.32837128902669]
Predicted rank: [0], ambiguousness: [[0.662009 0.337991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.42176796487493]
Predicted rank: [0], ambiguousness: [[0.66494584 0.3350542 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.845379831755]
Predicted rank: [0], ambiguousness: [[0.5403904  0.45960966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.37288038358864]
Predicted rank: [0], ambiguousness: [[0.60786366 0.3921363 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.36346439949202]
Predicted rank: [0], ambiguousness: [[0.7614774 0.2385226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.09949661619584]
Predicted rank: [0], ambiguousness: [[0.7561642  0.24383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.24812203504123]
Predicted rank: [0], ambiguousness: [[0.7069986  0.29300138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.3418641560167]
Predicted rank: [0], ambiguousness: [[0.7046388  0.29536122]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.7647516654751]
Predicted rank: [0], ambiguousness: [[0.5981215  0.40187845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.29804390307761]
Predicted rank: [0], ambiguousness: [[0.74260575 0.25739425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.89857735757748]
Predicted rank: [0], ambiguousness: [[0.75560135 0.24439867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.28006538740095]
Predicted rank: [0], ambiguousness: [[0.8257846  0.17421536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.41493751751204]
Predicted rank: [0], ambiguousness: [[0.8403013 0.1596987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.76746904930971]
Predicted rank: [0], ambiguousness: [[0.7323369 0.2676631]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.9360057371947]
Predicted rank: [0], ambiguousness: [[0.733362   0.26663798]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.10004836266447]
Predicted rank: [0], ambiguousness: [[0.77605474 0.22394526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.48825013792356]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.2309969622153]
Predicted rank: [0], ambiguousness: [[0.70208156 0.29791847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.62991627844522]
Predicted rank: [0], ambiguousness: [[0.6668085  0.33319148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.69326433465122]
Predicted rank: [0], ambiguousness: [[0.66503996 0.33496004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.72105524890748]
Predicted rank: [0], ambiguousness: [[0.8421146  0.15788537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.3226955520731]
Predicted rank: [0], ambiguousness: [[0.7737242  0.22627583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.06161751509478]
Predicted rank: [0], ambiguousness: [[0.78163385 0.21836618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.21024293394018]
Predicted rank: [0], ambiguousness: [[0.73580956 0.26419044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.30398505491564]
Predicted rank: [0], ambiguousness: [[0.74168825 0.25831178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.72687256437405]
Predicted rank: [0], ambiguousness: [[0.6421819  0.35781813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.10761293830592]
Predicted rank: [0], ambiguousness: [[0.7761421  0.22385786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.73968856033079]
Predicted rank: [0], ambiguousness: [[0.7882198  0.21178022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.1404779705804]
Predicted rank: [0], ambiguousness: [[0.84993994 0.15006007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.27811803194072]
Predicted rank: [0], ambiguousness: [[0.86874205 0.13125794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.62593024496772]
Predicted rank: [0], ambiguousness: [[0.7837372  0.21626282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.85414723787972]
Predicted rank: [0], ambiguousness: [[0.7733284  0.22667159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.01897859958987]
Predicted rank: [0], ambiguousness: [[0.80748594 0.19251403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.4063087219281]
Predicted rank: [0], ambiguousness: [[0.78963304 0.210367  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.15071719053077]
Predicted rank: [0], ambiguousness: [[0.7469387  0.25306132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.5488492499898]
Predicted rank: [0], ambiguousness: [[0.72438484 0.27561516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.61253206578803]
Predicted rank: [0], ambiguousness: [[0.71785545 0.28214455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64043539311962]
Predicted rank: [0], ambiguousness: [[0.8647784  0.13522159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.26891067027273]
Predicted rank: [0], ambiguousness: [[0.7880379  0.21196209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55439771285492]
Predicted rank: [0], ambiguousness: [[0.78771013 0.21228985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.06656184151144]
Predicted rank: [0], ambiguousness: [[0.837283   0.16271697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.21071774860316]
Predicted rank: [0], ambiguousness: [[0.8544571  0.14554292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.55123188503316]
Predicted rank: [0], ambiguousness: [[0.75570256 0.24429743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.52709918486443]
Predicted rank: [0], ambiguousness: [[0.69626516 0.30373484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.79192119775135]
Predicted rank: [0], ambiguousness: [[0.7888665  0.21113347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.07569479847584]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.15506709910572]
Predicted rank: [0], ambiguousness: [[0.8453102  0.15468977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.47658330595411]
Predicted rank: [0], ambiguousness: [[0.82764226 0.17235775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.58112524333458]
Predicted rank: [0], ambiguousness: [[0.8392064  0.16079359]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.62278657876354]
Predicted rank: [0], ambiguousness: [[0.9204938  0.07950622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.81317332714424]
Predicted rank: [0], ambiguousness: [[0.7404946 0.2595054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.16391647713476]
Predicted rank: [0], ambiguousness: [[0.7496739 0.2503261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.31037118705015]
Predicted rank: [0], ambiguousness: [[0.7964531  0.20354688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.35135804841545]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.41562696400146]
Predicted rank: [0], ambiguousness: [[0.707985   0.29201502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.48849707412187]
Predicted rank: [0], ambiguousness: [[0.90441304 0.09558697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.52253019697699]
Predicted rank: [0], ambiguousness: [[0.7264918 0.2735082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05569501840316]
Predicted rank: [0], ambiguousness: [[0.7865868  0.21341318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.69827944569113]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.10028384414684]
Predicted rank: [0], ambiguousness: [[0.8595139  0.14048614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.23805350236293]
Predicted rank: [0], ambiguousness: [[0.880045   0.11995502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.58566223601255]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.8170178727084]
Predicted rank: [0], ambiguousness: [[0.7727562  0.22724378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.98184923441856]
Predicted rank: [0], ambiguousness: [[0.81097245 0.18902753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.36917935675677]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.11358782535945]
Predicted rank: [0], ambiguousness: [[0.7637799  0.23622009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.51171988481849]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.57540270061672]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.6033060279483]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05516244204708]
Predicted rank: [0], ambiguousness: [[0.78350246 0.21649756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.30141599370822]
Predicted rank: [0], ambiguousness: [[0.7849164  0.21508363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.86997324525943]
Predicted rank: [0], ambiguousness: [[0.8513247  0.14867531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.01924880357608]
Predicted rank: [0], ambiguousness: [[0.87126803 0.128732  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.35204179935302]
Predicted rank: [0], ambiguousness: [[0.7897037  0.21029627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.358892787511]
Predicted rank: [0], ambiguousness: [[0.7024238  0.29757616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.6319038803145]
Predicted rank: [0], ambiguousness: [[0.7869939  0.21300606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.90832828153646]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.01441079929542]
Predicted rank: [0], ambiguousness: [[0.87157005 0.12842996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.33077373642453]
Predicted rank: [0], ambiguousness: [[0.85485363 0.14514638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.43808301391114]
Predicted rank: [0], ambiguousness: [[0.86896706 0.13103291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.48064281064572]
Predicted rank: [0], ambiguousness: [[0.9277853  0.07221471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73168018880367]
Predicted rank: [0], ambiguousness: [[0.73833525 0.26166475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.08142643431431]
Predicted rank: [0], ambiguousness: [[0.76553047 0.23446956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.22875657759263]
Predicted rank: [0], ambiguousness: [[0.80378854 0.19621149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.26991551285417]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.33479277601184]
Predicted rank: [0], ambiguousness: [[0.7242567 0.2757433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.40793133442983]
Predicted rank: [0], ambiguousness: [[0.9040246  0.09597542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.44225336413112]
Predicted rank: [0], ambiguousness: [[0.7231755 0.2768245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.5063814281492]
Predicted rank: [0], ambiguousness: [[0.78343785 0.21656215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.03773854049291]
Predicted rank: [0], ambiguousness: [[0.89430356 0.10569641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.18222005148147]
Predicted rank: [0], ambiguousness: [[0.87132883 0.1286712 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.52233652986124]
Predicted rank: [0], ambiguousness: [[0.7918111  0.20818889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.12411420220623]
Predicted rank: [0], ambiguousness: [[0.6954826  0.30451742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.44007199193348]
Predicted rank: [0], ambiguousness: [[0.7855705  0.21442947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.69573669127138]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.93651018130744]
Predicted rank: [0], ambiguousness: [[0.84984976 0.15015024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.244825218689]
Predicted rank: [0], ambiguousness: [[0.834813   0.16518703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.35902189193044]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.4036358896245]
Predicted rank: [0], ambiguousness: [[0.92346525 0.07653473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.35513464132575]
Predicted rank: [0], ambiguousness: [[0.6602092  0.33979082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.58348543991542]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.8399811994432]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.90702154890545]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.20158383831094]
Predicted rank: [0], ambiguousness: [[0.84081197 0.15918802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30919762028233]
Predicted rank: [0], ambiguousness: [[0.94895107 0.05104892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.37919236690632]
Predicted rank: [0], ambiguousness: [[0.8602364  0.13976358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.89352465770413]
Predicted rank: [0], ambiguousness: [[0.7173846 0.2826154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.00174404266988]
Predicted rank: [0], ambiguousness: [[0.92193055 0.07806943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11759749852024]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.21002155033098]
Predicted rank: [0], ambiguousness: [[0.72180486 0.2781951 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.99160241798415]
Predicted rank: [0], ambiguousness: [[0.7711465  0.22885354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.24155112469387]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81950873140136]
Predicted rank: [0], ambiguousness: [[0.8517341 0.1482659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.96941538363092]
Predicted rank: [0], ambiguousness: [[0.8762384  0.12376162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.30136958410048]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31918995494127]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.59268336994879]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.86874668104925]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.97641936684866]
Predicted rank: [0], ambiguousness: [[0.88376284 0.11623717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.29255935539713]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.40000012050932]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.44260103263572]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.6968350966452]
Predicted rank: [0], ambiguousness: [[0.7464175  0.25358245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.04658134215585]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.19391148543419]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.2350704206957]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.29994768385339]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.37308624227136]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.40740827197266]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.21458431669913]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81892328500601]
Predicted rank: [0], ambiguousness: [[0.86142504 0.13857497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.96881544089192]
Predicted rank: [0], ambiguousness: [[0.861512 0.138488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.30085567163331]
Predicted rank: [0], ambiguousness: [[0.77747697 0.22252305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.84698495008249]
Predicted rank: [0], ambiguousness: [[0.7024238  0.29757616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.18515593765278]
Predicted rank: [0], ambiguousness: [[0.7869939  0.21300606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.4259417942265]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.7388394921273]
Predicted rank: [0], ambiguousness: [[0.8643526  0.13564742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.03871601916259]
Predicted rank: [0], ambiguousness: [[0.8468618 0.1531382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.1581187125754]
Predicted rank: [0], ambiguousness: [[0.8648629  0.13513708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.2043980370882]
Predicted rank: [0], ambiguousness: [[0.9262735  0.07372648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.18543040634324]
Predicted rank: [0], ambiguousness: [[0.6621068 0.3378932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.4050022882112]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.67066983943793]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73958728036666]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.05399651169688]
Predicted rank: [0], ambiguousness: [[0.86762035 0.13237967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.16385918529389]
Predicted rank: [0], ambiguousness: [[0.95060796 0.04939207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.23629049960758]
Predicted rank: [0], ambiguousness: [[0.8739525  0.12604746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.81242232742437]
Predicted rank: [0], ambiguousness: [[0.7304828 0.2695172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.92113178469978]
Predicted rank: [0], ambiguousness: [[0.921535   0.07846497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.03782383187198]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.13101157126823]
Predicted rank: [0], ambiguousness: [[0.72922003 0.27077994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.07086740640261]
Predicted rank: [0], ambiguousness: [[0.7151919 0.2848081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.3934270579567]
Predicted rank: [0], ambiguousness: [[0.7846111 0.2153889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.64649677810766]
Predicted rank: [0], ambiguousness: [[0.7750802  0.22491978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.90968988660545]
Predicted rank: [0], ambiguousness: [[0.8800164 0.1199836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.21758019619367]
Predicted rank: [0], ambiguousness: [[0.8852957  0.11470431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.33210677950358]
Predicted rank: [0], ambiguousness: [[0.858118 0.141882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.37684280475571]
Predicted rank: [0], ambiguousness: [[0.9336404  0.06635956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.93432268382911]
Predicted rank: [0], ambiguousness: [[0.6602092  0.33979082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.12684068948482]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.44349567169418]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.51976790824713]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.95927070332397]
Predicted rank: [0], ambiguousness: [[0.83774066 0.16225931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.07468205646845]
Predicted rank: [0], ambiguousness: [[0.94783676 0.05216326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.1534830755395]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.20494386677728]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.37743838688979]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.59620299345978]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.95136981906617]
Predicted rank: [0], ambiguousness: [[0.8404543  0.15954572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.64976137317242]
Predicted rank: [0], ambiguousness: [[0.72357786 0.27642217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.14130407055255]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.76229298394628]
Predicted rank: [0], ambiguousness: [[0.8526801  0.14731994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.91289955749829]
Predicted rank: [0], ambiguousness: [[0.8527716  0.14722842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.24400147189714]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.7908933030762]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.13248244734955]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.37134182986534]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.69544156615717]
Predicted rank: [0], ambiguousness: [[0.877134 0.122866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.9944327434494]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.11446420792842]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.16094332678355]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.15265537620468]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.37180271119965]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.63800043383225]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.70701453406674]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.02267501687494]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.13263784605392]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.20518166419188]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.7845102290175]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.89321938783559]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.00991092932591]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.10309824568756]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.75236609026186]
Predicted rank: [0], ambiguousness: [[0.6935606  0.30643937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.10276648791819]
Predicted rank: [0], ambiguousness: [[0.7840406 0.2159594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.33872560830166]
Predicted rank: [0], ambiguousness: [[0.7744917  0.22550827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.69328367356317]
Predicted rank: [0], ambiguousness: [[0.86577475 0.13422526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.99236740432751]
Predicted rank: [0], ambiguousness: [[0.8492857  0.15071431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.11238753321807]
Predicted rank: [0], ambiguousness: [[0.8466591  0.15334088]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.15889540779582]
Predicted rank: [0], ambiguousness: [[0.9274379  0.07256208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.65399251880059]
Predicted rank: [0], ambiguousness: [[0.6600772 0.3399228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.82809680061703]
Predicted rank: [0], ambiguousness: [[0.692013   0.30798694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.17040260655317]
Predicted rank: [0], ambiguousness: [[0.78480744 0.21519259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.25107410409807]
Predicted rank: [0], ambiguousness: [[0.9200301  0.07996988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.75173925404789]
Predicted rank: [0], ambiguousness: [[0.8594625  0.14053753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.87142873218272]
Predicted rank: [0], ambiguousness: [[0.9472532  0.05274676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.9548760112022]
Predicted rank: [0], ambiguousness: [[0.8692718 0.1307282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.02404702518834]
Predicted rank: [0], ambiguousness: [[0.65098643 0.3490136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.20140930736511]
Predicted rank: [0], ambiguousness: [[0.8898973  0.11010269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.42893004497543]
Predicted rank: [0], ambiguousness: [[0.82839566 0.17160434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.80651092535969]
Predicted rank: [0], ambiguousness: [[0.8591992  0.14080077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.57374269961917]
Predicted rank: [0], ambiguousness: [[0.7223743  0.27762565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.88432976974028]
Predicted rank: [0], ambiguousness: [[0.6532171  0.34678292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.07327904554178]
Predicted rank: [0], ambiguousness: [[0.6964768 0.3035232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.39789360881042]
Predicted rank: [0], ambiguousness: [[0.77537394 0.22462606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.47515976559721]
Predicted rank: [0], ambiguousness: [[0.9213716  0.07862841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.93708059979076]
Predicted rank: [0], ambiguousness: [[0.8710929  0.12890711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.0528228392397]
Predicted rank: [0], ambiguousness: [[0.9608694  0.03913064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.13191417157023]
Predicted rank: [0], ambiguousness: [[0.8717741  0.12822592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.70957483844505]
Predicted rank: [0], ambiguousness: [[0.63970125 0.36029875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.9104726988212]
Predicted rank: [0], ambiguousness: [[0.8920076 0.1079924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.18891749525017]
Predicted rank: [0], ambiguousness: [[0.8302623  0.16973767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.70543112848188]
Predicted rank: [0], ambiguousness: [[0.83873206 0.16126792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.8842717222337]
Predicted rank: [0], ambiguousness: [[0.64675856 0.35324144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.71327542110434]
Predicted rank: [0], ambiguousness: [[0.6795439 0.3204561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.06759249958999]
Predicted rank: [0], ambiguousness: [[0.77280676 0.22719322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.3018152753728]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.66930078245571]
Predicted rank: [0], ambiguousness: [[0.84888417 0.15111583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.9678847410664]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.08829979622166]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.13493692617504]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.6318945006763]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.80467515164918]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.14932655371896]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.23035320657499]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.73708126161864]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.85704160557731]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.94078052163985]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.01798227068397]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.19537170932396]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.42297625621217]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.80085148538197]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.56841690123643]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.58155920167141]
Predicted rank: [0], ambiguousness: [[0.65673345 0.34326655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.74994057431621]
Predicted rank: [0], ambiguousness: [[0.6710822 0.3289178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.1055929930403]
Predicted rank: [0], ambiguousness: [[0.7724082  0.22759181]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.18788893633858]
Predicted rank: [0], ambiguousness: [[0.92213976 0.07786024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.72675048471966]
Predicted rank: [0], ambiguousness: [[0.85393435 0.14606565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.84686949763602]
Predicted rank: [0], ambiguousness: [[0.95267737 0.04732265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.93065583106905]
Predicted rank: [0], ambiguousness: [[0.85927093 0.14072907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.4166086865057]
Predicted rank: [0], ambiguousness: [[0.63942075 0.36057925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.62957646802512]
Predicted rank: [0], ambiguousness: [[0.8848483  0.11515173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.93207174412407]
Predicted rank: [0], ambiguousness: [[0.8210933 0.1789067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.5140512414502]
Predicted rank: [0], ambiguousness: [[0.8448985  0.15510148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.71776543482034]
Predicted rank: [0], ambiguousness: [[0.6320697  0.36793032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.66539087553745]
Predicted rank: [0], ambiguousness: [[0.6276443  0.37235567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.86956281596127]
Predicted rank: [0], ambiguousness: [[0.89758664 0.10241338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.15583673415766]
Predicted rank: [0], ambiguousness: [[0.8275059 0.1724941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.69655407536662]
Predicted rank: [0], ambiguousness: [[0.869238   0.13076197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.37286019832926]
Predicted rank: [0], ambiguousness: [[0.64361143 0.3563886 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.69905354711211]
Predicted rank: [0], ambiguousness: [[0.6592546 0.3407454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.87332685215331]
Predicted rank: [0], ambiguousness: [[0.6659683  0.33403167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.22183672148994]
Predicted rank: [0], ambiguousness: [[0.7923559  0.20764413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.30282754101182]
Predicted rank: [0], ambiguousness: [[0.92733    0.07266998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.82572342170118]
Predicted rank: [0], ambiguousness: [[0.85432214 0.14567785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.94444091417279]
Predicted rank: [0], ambiguousness: [[0.9496256  0.05037442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.02672161264042]
Predicted rank: [0], ambiguousness: [[0.85562587 0.14437412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.54355606276738]
Predicted rank: [0], ambiguousness: [[0.6936239 0.3063761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.75305367524122]
Predicted rank: [0], ambiguousness: [[0.88682145 0.11317856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.04897268076724]
Predicted rank: [0], ambiguousness: [[0.8348214  0.16517861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.61419559576458]
Predicted rank: [0], ambiguousness: [[0.8604591  0.13954088]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.82037914713487]
Predicted rank: [0], ambiguousness: [[0.6541935  0.34580645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.47263352491191]
Predicted rank: [0], ambiguousness: [[0.6338438 0.3661562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.68653885075697]
Predicted rank: [0], ambiguousness: [[0.88517094 0.11482906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.99317344550573]
Predicted rank: [0], ambiguousness: [[0.8203043  0.17969576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.5920400461302]
Predicted rank: [0], ambiguousness: [[0.8538103  0.14618972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.20946374273257]
Predicted rank: [0], ambiguousness: [[0.6116904  0.38830963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.40888131182854]
Predicted rank: [0], ambiguousness: [[0.62498736 0.37501264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.37283345598036]
Predicted rank: [0], ambiguousness: [[0.6324924  0.36750758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.36341747188374]
Predicted rank: [0], ambiguousness: [[0.76076394 0.23923607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.09944968858758]
Predicted rank: [0], ambiguousness: [[0.7684666  0.23153341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.24807510743298]
Predicted rank: [0], ambiguousness: [[0.73170054 0.26829943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.34181722840843]
Predicted rank: [0], ambiguousness: [[0.71857333 0.2814267 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.76470473786684]
Predicted rank: [0], ambiguousness: [[0.6143309  0.38566908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.29799697546935]
Predicted rank: [0], ambiguousness: [[0.7516003  0.24839967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.89853042996921]
Predicted rank: [0], ambiguousness: [[0.77505225 0.22494774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.28001845979269]
Predicted rank: [0], ambiguousness: [[0.85409606 0.14590396]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.41489058990378]
Predicted rank: [0], ambiguousness: [[0.8465872  0.15341279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.76742212170143]
Predicted rank: [0], ambiguousness: [[0.7394337 0.2605663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.93595880958645]
Predicted rank: [0], ambiguousness: [[0.7786816  0.22131844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.1000014350562]
Predicted rank: [0], ambiguousness: [[0.79432094 0.20567904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.48820321031529]
Predicted rank: [0], ambiguousness: [[0.7664675  0.23353247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.23095003460703]
Predicted rank: [0], ambiguousness: [[0.72423744 0.2757626 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.62986935083696]
Predicted rank: [0], ambiguousness: [[0.7191072 0.2808928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.69321740704297]
Predicted rank: [0], ambiguousness: [[0.6887292  0.31127077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.72100832129922]
Predicted rank: [0], ambiguousness: [[0.8559925  0.14400752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.32244265909472]
Predicted rank: [0], ambiguousness: [[0.7634884  0.23651162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.06136462211637]
Predicted rank: [0], ambiguousness: [[0.77063483 0.22936518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.20999004096177]
Predicted rank: [0], ambiguousness: [[0.7233194 0.2766806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.30373216193723]
Predicted rank: [0], ambiguousness: [[0.7293738  0.27062622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.72661967139564]
Predicted rank: [0], ambiguousness: [[0.62750614 0.3724939 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.10736004532751]
Predicted rank: [0], ambiguousness: [[0.7608612  0.23913878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.73943566735238]
Predicted rank: [0], ambiguousness: [[0.77055764 0.22944236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.140225077602]
Predicted rank: [0], ambiguousness: [[0.8420756 0.1579244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.27786513896233]
Predicted rank: [0], ambiguousness: [[0.8586308  0.14136921]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.62567735198931]
Predicted rank: [0], ambiguousness: [[0.76684266 0.23315732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.8538943449013]
Predicted rank: [0], ambiguousness: [[0.7548107  0.24518931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.01872570661148]
Predicted rank: [0], ambiguousness: [[0.7910046  0.20899542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.40605582894969]
Predicted rank: [0], ambiguousness: [[0.7720547  0.22794536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.15046429755236]
Predicted rank: [0], ambiguousness: [[0.7270261 0.2729739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.54859635701139]
Predicted rank: [0], ambiguousness: [[0.7034023  0.29659775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.61227917280962]
Predicted rank: [0], ambiguousness: [[0.696584   0.30341598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64018250014121]
Predicted rank: [0], ambiguousness: [[0.8547243  0.14527568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.26865777729432]
Predicted rank: [0], ambiguousness: [[0.7733319  0.22666812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55414481987651]
Predicted rank: [0], ambiguousness: [[0.770018   0.22998205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.06630894853302]
Predicted rank: [0], ambiguousness: [[0.8252359  0.17476411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.21046485562474]
Predicted rank: [0], ambiguousness: [[0.8434437  0.15655631]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.55097899205475]
Predicted rank: [0], ambiguousness: [[0.7394947  0.26050532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.52684629188602]
Predicted rank: [0], ambiguousness: [[0.6741049 0.3258951]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.79166830477295]
Predicted rank: [0], ambiguousness: [[0.77124274 0.22875728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.07544190549743]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.15481420612733]
Predicted rank: [0], ambiguousness: [[0.83724976 0.16275023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.4763304129757]
Predicted rank: [0], ambiguousness: [[0.8188584 0.1811416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.58087235035617]
Predicted rank: [0], ambiguousness: [[0.8272723  0.17272773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.62253368578513]
Predicted rank: [0], ambiguousness: [[0.91462153 0.08537848]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.81292043416582]
Predicted rank: [0], ambiguousness: [[0.7202648  0.27973518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.16366358415635]
Predicted rank: [0], ambiguousness: [[0.7298987  0.27010128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.31011829407173]
Predicted rank: [0], ambiguousness: [[0.7792854  0.22071464]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.35110515543704]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.41537407102307]
Predicted rank: [0], ambiguousness: [[0.68629456 0.3137054 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.48824418114346]
Predicted rank: [0], ambiguousness: [[0.8969547  0.10304527]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.52227730399858]
Predicted rank: [0], ambiguousness: [[0.70560443 0.2943956 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05469193601259]
Predicted rank: [0], ambiguousness: [[0.73207283 0.26792714]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.69727636330055]
Predicted rank: [0], ambiguousness: [[0.75657755 0.24342246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.09928076175626]
Predicted rank: [0], ambiguousness: [[0.82076097 0.17923902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.23705041997236]
Predicted rank: [0], ambiguousness: [[0.8446902 0.1553098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.584659153622]
Predicted rank: [0], ambiguousness: [[0.7468872  0.25311282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81601479031784]
Predicted rank: [0], ambiguousness: [[0.7401946  0.25980538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.98084615202801]
Predicted rank: [0], ambiguousness: [[0.78505325 0.21494675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.36817627436622]
Predicted rank: [0], ambiguousness: [[0.76606894 0.23393106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.11258474296889]
Predicted rank: [0], ambiguousness: [[0.73351604 0.26648396]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.51071680242792]
Predicted rank: [0], ambiguousness: [[0.6963229 0.3036771]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.57439961822615]
Predicted rank: [0], ambiguousness: [[0.6982979  0.30170208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.60230294555774]
Predicted rank: [0], ambiguousness: [[0.8422861 0.1577139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05415935965651]
Predicted rank: [0], ambiguousness: [[0.7362054 0.2637946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.30041291131764]
Predicted rank: [0], ambiguousness: [[0.7636907 0.2363093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.86897016286886]
Predicted rank: [0], ambiguousness: [[0.81293464 0.1870654 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.01824572118551]
Predicted rank: [0], ambiguousness: [[0.83920974 0.16079026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.35103871696245]
Predicted rank: [0], ambiguousness: [[0.7433176  0.25668243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.35788970512041]
Predicted rank: [0], ambiguousness: [[0.672906   0.32709402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.63090079792393]
Predicted rank: [0], ambiguousness: [[0.7659122  0.23408784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.90732519914589]
Predicted rank: [0], ambiguousness: [[0.7652188  0.23478119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.01340771690485]
Predicted rank: [0], ambiguousness: [[0.84298354 0.15701647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.32977065403395]
Predicted rank: [0], ambiguousness: [[0.820964   0.17903605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.43707993152057]
Predicted rank: [0], ambiguousness: [[0.8364434 0.1635566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.47963972825514]
Predicted rank: [0], ambiguousness: [[0.91024864 0.08975133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73067710641308]
Predicted rank: [0], ambiguousness: [[0.71418655 0.28581345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.08042335192374]
Predicted rank: [0], ambiguousness: [[0.73995495 0.26004505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.22775349520207]
Predicted rank: [0], ambiguousness: [[0.7839125  0.21608752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.26891243046359]
Predicted rank: [0], ambiguousness: [[0.9140999  0.08590011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.33378969362127]
Predicted rank: [0], ambiguousness: [[0.6993378  0.30066222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.40692825203925]
Predicted rank: [0], ambiguousness: [[0.8909576  0.10904241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.44125028174054]
Predicted rank: [0], ambiguousness: [[0.6981995  0.30180046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.50537834575863]
Predicted rank: [0], ambiguousness: [[0.7621104  0.23788959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.03673545810234]
Predicted rank: [0], ambiguousness: [[0.86525476 0.13474526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.1812169690909]
Predicted rank: [0], ambiguousness: [[0.83928293 0.16071709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.52133344747068]
Predicted rank: [0], ambiguousness: [[0.7457402  0.25425985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.12311111981566]
Predicted rank: [0], ambiguousness: [[0.66560394 0.33439606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.4390689095429]
Predicted rank: [0], ambiguousness: [[0.76439    0.23561001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.69473360888081]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.93550709891687]
Predicted rank: [0], ambiguousness: [[0.8135988  0.18640119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.24382213629843]
Predicted rank: [0], ambiguousness: [[0.793195   0.20680496]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.35801880953986]
Predicted rank: [0], ambiguousness: [[0.81077206 0.18922791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.40263280723394]
Predicted rank: [0], ambiguousness: [[0.90593666 0.09406336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.35413155893518]
Predicted rank: [0], ambiguousness: [[0.6324396  0.36756036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.58248235752484]
Predicted rank: [0], ambiguousness: [[0.64360154 0.35639843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.83897811705265]
Predicted rank: [0], ambiguousness: [[0.75322485 0.24677515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.90601846651488]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.20058075592037]
Predicted rank: [0], ambiguousness: [[0.8068961  0.19310394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30819453789175]
Predicted rank: [0], ambiguousness: [[0.93508637 0.0649136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.37818928451574]
Predicted rank: [0], ambiguousness: [[0.8259797  0.17402032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.89252157531358]
Predicted rank: [0], ambiguousness: [[0.69210863 0.30789134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.00074096027933]
Predicted rank: [0], ambiguousness: [[0.9110616  0.08893839]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11659441612966]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.20901846794041]
Predicted rank: [0], ambiguousness: [[0.6967572  0.30324283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.98829014638642]
Predicted rank: [0], ambiguousness: [[0.73357743 0.26642257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.23824602017193]
Predicted rank: [0], ambiguousness: [[0.7602007  0.23979932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81621055956775]
Predicted rank: [0], ambiguousness: [[0.8243817  0.17561832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.96611763047655]
Predicted rank: [0], ambiguousness: [[0.85262436 0.14737566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.29807128919035]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31590066028745]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.58939427012282]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.86545744124031]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.97313076312338]
Predicted rank: [0], ambiguousness: [[0.8643794 0.1356206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.28927066729335]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.39671148308281]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.43931241087297]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.69354768568257]
Predicted rank: [0], ambiguousness: [[0.71877426 0.28122574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.04329393119323]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.19062407447157]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.23178300973309]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.29666027289076]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.36979883130874]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.40412086101004]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.21134790692585]
Predicted rank: [0], ambiguousness: [[0.7595645  0.24043545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81568687523276]
Predicted rank: [0], ambiguousness: [[0.8355151 0.1644849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.96557903111866]
Predicted rank: [0], ambiguousness: [[0.8356153  0.16438475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.29761926186006]
Predicted rank: [0], ambiguousness: [[0.7405976  0.25940242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.84374854030924]
Predicted rank: [0], ambiguousness: [[0.6720916 0.3279084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.18191952787951]
Predicted rank: [0], ambiguousness: [[0.7623657  0.23763429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.42270538445325]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.73560308235403]
Predicted rank: [0], ambiguousness: [[0.8388877  0.16111232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.03547960938934]
Predicted rank: [0], ambiguousness: [[0.8188017 0.1811983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.15488230280214]
Predicted rank: [0], ambiguousness: [[0.839476 0.160524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.20116162731493]
Predicted rank: [0], ambiguousness: [[0.91123927 0.08876076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.18219399656998]
Predicted rank: [0], ambiguousness: [[0.6298307 0.3701693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.40176587843793]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.66743342966467]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73635087059338]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.05076010192363]
Predicted rank: [0], ambiguousness: [[0.846014   0.15398595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.16062277552064]
Predicted rank: [0], ambiguousness: [[0.94163525 0.05836475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.23305408983433]
Predicted rank: [0], ambiguousness: [[0.849977   0.15002297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.80918591765109]
Predicted rank: [0], ambiguousness: [[0.7017964  0.29820356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.91789537492652]
Predicted rank: [0], ambiguousness: [[0.9106975  0.08930249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.0345874220987]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.12777516149498]
Predicted rank: [0], ambiguousness: [[0.70045435 0.29954565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.06763099662936]
Predicted rank: [0], ambiguousness: [[0.6855785  0.31442147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.39019064818342]
Predicted rank: [0], ambiguousness: [[0.75979143 0.24020857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.6432603683344]
Predicted rank: [0], ambiguousness: [[0.7495129 0.2504871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.90645347683218]
Predicted rank: [0], ambiguousness: [[0.8570056  0.14299442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.2143437864204]
Predicted rank: [0], ambiguousness: [[0.86313987 0.13686012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.32887036973031]
Predicted rank: [0], ambiguousness: [[0.8317105  0.16828947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.37360639498246]
Predicted rank: [0], ambiguousness: [[0.9199786  0.08002137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.93108627405584]
Predicted rank: [0], ambiguousness: [[0.62785363 0.37214634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.12360427971157]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.44025926192091]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.51653149847385]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.95603429355072]
Predicted rank: [0], ambiguousness: [[0.80838746 0.19161253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.07144564669518]
Predicted rank: [0], ambiguousness: [[0.9369001  0.06309994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.15024666576623]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.20170745700403]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.37420197711653]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.59296658368652]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.9481334092929]
Predicted rank: [0], ambiguousness: [[0.8153577  0.18464229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.64652496339917]
Predicted rank: [0], ambiguousness: [[0.6944639 0.3055361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.1295763188564]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.75113897154125]
Predicted rank: [0], ambiguousness: [[0.82546633 0.17453367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.90177065494981]
Predicted rank: [0], ambiguousness: [[0.8255713  0.17442869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.23283907359298]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.77975199951499]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.1214580749984]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.36025027317035]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.68473377630471]
Predicted rank: [0], ambiguousness: [[0.85366225 0.14633772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.98369331680274]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.10374680376248]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.15023294143222]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.14228667321152]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.36141596267566]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.62763508486898]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.6966532105235]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.01236315616934]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.12233034578651]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.19487901937595]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.77434082549263]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.88305028276807]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.99974232994025]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.09293006933652]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.74303278541699]
Predicted rank: [0], ambiguousness: [[0.66478044 0.33521956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.09347796266482]
Predicted rank: [0], ambiguousness: [[0.7608277  0.23917228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.32941216025657]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.68411733617455]
Predicted rank: [0], ambiguousness: [[0.8413644  0.15863559]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.98318974564255]
Predicted rank: [0], ambiguousness: [[0.8224915  0.17750849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.10321731236246]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14972757166313]
Predicted rank: [0], ambiguousness: [[0.91311634 0.08688365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.64476138974544]
Predicted rank: [0], ambiguousness: [[0.6298307 0.3701693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.81884084074224]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.16118322787425]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.24186080355469]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.7426148617275]
Predicted rank: [0], ambiguousness: [[0.83412415 0.16587584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.86230996197737]
Predicted rank: [0], ambiguousness: [[0.9365752  0.06342484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.94576340316524]
Predicted rank: [0], ambiguousness: [[0.8453839  0.15461612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.01497766569827]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.19234561644063]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.41987694450307]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.79748587782774]
Predicted rank: [0], ambiguousness: [[0.83733153 0.16266844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.56479752384355]
Predicted rank: [0], ambiguousness: [[0.6951107  0.30488932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.87552811013174]
Predicted rank: [0], ambiguousness: [[0.6188865 0.3811135]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.06447738593326]
Predicted rank: [0], ambiguousness: [[0.66422737 0.3357726 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.38909194920191]
Predicted rank: [0], ambiguousness: [[0.7484801 0.2515199]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.46635810598869]
Predicted rank: [0], ambiguousness: [[0.909927   0.09007298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.92827894018224]
Predicted rank: [0], ambiguousness: [[0.8453686 0.1546314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.04402117963119]
Predicted rank: [0], ambiguousness: [[0.9520749 0.0479251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.1231125119617]
Predicted rank: [0], ambiguousness: [[0.8461617 0.1538383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.70077317883653]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.90167103921267]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.18011583564163]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.69662946887335]
Predicted rank: [0], ambiguousness: [[0.8079735  0.19202647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.8754700626252]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.66277388810568]
Predicted rank: [0], ambiguousness: [[0.64804804 0.351952  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.01928962735312]
Predicted rank: [0], ambiguousness: [[0.7470654  0.25293458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.2523088095202]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.62702126072224]
Predicted rank: [0], ambiguousness: [[0.8211164  0.17888361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.92507138689511]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.04583354422235]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.09258324396406]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.58732195820694]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.75894685585426]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.10529806186659]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.18660743889816]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.69746950386724]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.81769107465729]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.9017130885384]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.98134424434818]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.15897554640392]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.3870218642234]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.76603293914008]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.536885798148]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.5458573035747]
Predicted rank: [0], ambiguousness: [[0.62573457 0.3742654 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.71330168011721]
Predicted rank: [0], ambiguousness: [[0.6406701  0.35932988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.07038355598198]
Predicted rank: [0], ambiguousness: [[0.74784464 0.25215536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.15290855897771]
Predicted rank: [0], ambiguousness: [[0.91189307 0.08810695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.69531086204589]
Predicted rank: [0], ambiguousness: [[0.827819 0.172181]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.81562587931768]
Predicted rank: [0], ambiguousness: [[0.9430388  0.05696121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.89962268582298]
Predicted rank: [0], ambiguousness: [[0.8339242  0.16607586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.38174434729419]
Predicted rank: [0], ambiguousness: [[0.6182605 0.3817395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.59524876696179]
Predicted rank: [0], ambiguousness: [[0.8752814  0.12471858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.89881257268402]
Predicted rank: [0], ambiguousness: [[0.8073827  0.19261728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.48368688372994]
Predicted rank: [0], ambiguousness: [[0.8240045  0.17599554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.68851967750163]
Predicted rank: [0], ambiguousness: [[0.61074066 0.38925937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.64210785169763]
Predicted rank: [0], ambiguousness: [[0.5974053  0.40259466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.84638162639573]
Predicted rank: [0], ambiguousness: [[0.8852621  0.11473792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.13285298265964]
Predicted rank: [0], ambiguousness: [[0.8085467 0.1914533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.6740809491267]
Predicted rank: [0], ambiguousness: [[0.84632194 0.15367809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.349630770107]
Predicted rank: [0], ambiguousness: [[0.61387134 0.38612866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.50533615446005]
Predicted rank: [0], ambiguousness: [[0.61035836 0.38964164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.67046358540756]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.0322277713926]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.11538601501829]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.67027964815168]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.79094189406106]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.87529608034154]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.35663227276744]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.57122747078142]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.87712199205265]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.46872509073268]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.68243534350253]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.29517689848404]
Predicted rank: [0], ambiguousness: [[0.60114205 0.39885795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.51427425089605]
Predicted rank: [0], ambiguousness: [[0.8751816  0.12481838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.83132343682824]
Predicted rank: [0], ambiguousness: [[0.80590934 0.19409068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.4582667778543]
Predicted rank: [0], ambiguousness: [[0.82652277 0.17347722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.04294106543446]
Predicted rank: [0], ambiguousness: [[0.59866357 0.40133646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.30216021287146]
Predicted rank: [0], ambiguousness: [[0.6014886 0.3985114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.4245336325302]
Predicted rank: [0], ambiguousness: [[0.6288885  0.37111154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.64000542602643]
Predicted rank: [0], ambiguousness: [[0.8678256  0.13217436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.95012233261286]
Predicted rank: [0], ambiguousness: [[0.80765575 0.19234425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.55912315863343]
Predicted rank: [0], ambiguousness: [[0.8112682  0.18873177]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.17401995400756]
Predicted rank: [0], ambiguousness: [[0.6215936  0.37840644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.09870863287883]
Predicted rank: [0], ambiguousness: [[0.59737444 0.40262553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.32244894025679]
Predicted rank: [0], ambiguousness: [[0.73991585 0.26008415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.06137090323779]
Predicted rank: [0], ambiguousness: [[0.73374283 0.2662572 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.2099963220832]
Predicted rank: [0], ambiguousness: [[0.68195784 0.31804213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.30373844305865]
Predicted rank: [0], ambiguousness: [[0.6885276  0.31147242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.72662595251705]
Predicted rank: [0], ambiguousness: [[0.58013546 0.4198645 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.10736632390103]
Predicted rank: [0], ambiguousness: [[0.7349616  0.26503837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.7394419459259]
Predicted rank: [0], ambiguousness: [[0.73365754 0.26634246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.14023135617553]
Predicted rank: [0], ambiguousness: [[0.81917226 0.18082777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.27787141753586]
Predicted rank: [0], ambiguousness: [[0.8411088  0.15889122]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.62568363056283]
Predicted rank: [0], ambiguousness: [[0.7434921 0.2565079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.85390062347484]
Predicted rank: [0], ambiguousness: [[0.7163105 0.2836895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.018731985185]
Predicted rank: [0], ambiguousness: [[0.7563532  0.24364682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.40606210752321]
Predicted rank: [0], ambiguousness: [[0.7353126 0.2646874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.15047057612588]
Predicted rank: [0], ambiguousness: [[0.6859782  0.31402183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.54860263558493]
Predicted rank: [0], ambiguousness: [[0.66046095 0.33953905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.61228545138314]
Predicted rank: [0], ambiguousness: [[0.65314233 0.34685764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64018877871473]
Predicted rank: [0], ambiguousness: [[0.82055634 0.17944366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.26866405586784]
Predicted rank: [0], ambiguousness: [[0.7483362 0.2516638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.55415109845005]
Predicted rank: [0], ambiguousness: [[0.73306113 0.26693887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.06631522710657]
Predicted rank: [0], ambiguousness: [[0.8045171  0.19548292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.21047113419829]
Predicted rank: [0], ambiguousness: [[0.8244242  0.17557581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.55098527062827]
Predicted rank: [0], ambiguousness: [[0.71215653 0.2878435 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.52685257045955]
Predicted rank: [0], ambiguousness: [[0.6291582 0.3708418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.79167458334649]
Predicted rank: [0], ambiguousness: [[0.7344149  0.26558512]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.07544818407095]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.15482048470085]
Predicted rank: [0], ambiguousness: [[0.8138012  0.18619877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.47633669154922]
Predicted rank: [0], ambiguousness: [[0.79341394 0.20658605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.5808786289297]
Predicted rank: [0], ambiguousness: [[0.8067384  0.19326164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.62253996435865]
Predicted rank: [0], ambiguousness: [[0.89945877 0.10054123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.81292671273937]
Predicted rank: [0], ambiguousness: [[0.67864954 0.32135043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.16366986272988]
Predicted rank: [0], ambiguousness: [[0.689098 0.310902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.31012457264526]
Predicted rank: [0], ambiguousness: [[0.7433214 0.2566786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.35111143401058]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.4153803495966]
Predicted rank: [0], ambiguousness: [[0.6421366  0.35786346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.488250459717]
Predicted rank: [0], ambiguousness: [[0.8712226 0.1287774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.5222835825721]
Predicted rank: [0], ambiguousness: [[0.6628291 0.3371709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05448472230171]
Predicted rank: [0], ambiguousness: [[0.72870564 0.27129433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.69706914919772]
Predicted rank: [0], ambiguousness: [[0.72682625 0.27317375]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.0990735476347]
Predicted rank: [0], ambiguousness: [[0.81440204 0.18559794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.23684320584891]
Predicted rank: [0], ambiguousness: [[0.8424337  0.15756628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.5844519395014]
Predicted rank: [0], ambiguousness: [[0.7457502  0.25424984]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81580757615309]
Predicted rank: [0], ambiguousness: [[0.70921063 0.29078937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.98063893786325]
Predicted rank: [0], ambiguousness: [[0.7576676  0.24233241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.36796906020147]
Predicted rank: [0], ambiguousness: [[0.7370746  0.26292542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.11237752880413]
Predicted rank: [0], ambiguousness: [[0.70205617 0.2979438 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.51050958826318]
Predicted rank: [0], ambiguousness: [[0.6624925  0.33750752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.5741924040614]
Predicted rank: [0], ambiguousness: [[0.6645816 0.3354184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.60209573139298]
Predicted rank: [0], ambiguousness: [[0.81539303 0.18460695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05395214294387]
Predicted rank: [0], ambiguousness: [[0.71643215 0.28356785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.30020569460501]
Predicted rank: [0], ambiguousness: [[0.7267396 0.2732604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.86876294615621]
Predicted rank: [0], ambiguousness: [[0.8041823  0.19581768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.01803850447288]
Predicted rank: [0], ambiguousness: [[0.83143187 0.1685681 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.35083150024981]
Predicted rank: [0], ambiguousness: [[0.73238033 0.26761967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.35768248840776]
Predicted rank: [0], ambiguousness: [[0.62866175 0.37133825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.63069358121129]
Predicted rank: [0], ambiguousness: [[0.7291852  0.27081478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.90711798243325]
Predicted rank: [0], ambiguousness: [[0.72842175 0.27157825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.01320050019221]
Predicted rank: [0], ambiguousness: [[0.8318094  0.16819063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.32956343732133]
Predicted rank: [0], ambiguousness: [[0.8085786 0.1914214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.43687271480793]
Predicted rank: [0], ambiguousness: [[0.82855904 0.17144094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.47943251154251]
Predicted rank: [0], ambiguousness: [[0.90350145 0.09649857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73046988970046]
Predicted rank: [0], ambiguousness: [[0.67281103 0.32718897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.08021613521112]
Predicted rank: [0], ambiguousness: [[0.7007468  0.29925323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.22754627848943]
Predicted rank: [0], ambiguousness: [[0.74908453 0.25091547]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.26870521375096]
Predicted rank: [0], ambiguousness: [[0.8942973  0.10570269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.33358247690863]
Predicted rank: [0], ambiguousness: [[0.65684557 0.34315443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.40672103532663]
Predicted rank: [0], ambiguousness: [[0.86659855 0.13340145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.44104306502791]
Predicted rank: [0], ambiguousness: [[0.6556257 0.3443743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.50517112904599]
Predicted rank: [0], ambiguousness: [[0.7163547  0.28364524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.0365282413897]
Predicted rank: [0], ambiguousness: [[0.8532262 0.1467738]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.18100975237826]
Predicted rank: [0], ambiguousness: [[0.8254037 0.1745963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.52112623075803]
Predicted rank: [0], ambiguousness: [[0.726416   0.27358398]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.12290390310302]
Predicted rank: [0], ambiguousness: [[0.6107664 0.3892336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.43886169283027]
Predicted rank: [0], ambiguousness: [[0.71891105 0.28108892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.69452639216817]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.93529988220423]
Predicted rank: [0], ambiguousness: [[0.7980354  0.20196465]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.2436149195858]
Predicted rank: [0], ambiguousness: [[0.77639616 0.22360384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.35781159282723]
Predicted rank: [0], ambiguousness: [[0.7950321  0.20496793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.40242559052129]
Predicted rank: [0], ambiguousness: [[0.8938824  0.10611763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.35392434222254]
Predicted rank: [0], ambiguousness: [[0.575631   0.42436895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.5822751408122]
Predicted rank: [0], ambiguousness: [[0.58739257 0.4126074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.83877090034]
Predicted rank: [0], ambiguousness: [[0.7064185 0.2935815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.90581124980224]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.20037353920773]
Predicted rank: [0], ambiguousness: [[0.78666174 0.21333824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30798732117913]
Predicted rank: [0], ambiguousness: [[0.9247053  0.07529466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.3779820678031]
Predicted rank: [0], ambiguousness: [[0.81121004 0.18878996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.89231435860093]
Predicted rank: [0], ambiguousness: [[0.63926196 0.36073804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.00053374356668]
Predicted rank: [0], ambiguousness: [[0.8863878  0.11361217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11638719941703]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.20881125122777]
Predicted rank: [0], ambiguousness: [[0.6442983 0.3557017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.98732133109446]
Predicted rank: [0], ambiguousness: [[0.6866381  0.31336188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.23727720450563]
Predicted rank: [0], ambiguousness: [[0.7220659 0.2779341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81524174358856]
Predicted rank: [0], ambiguousness: [[0.7882561  0.21174388]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.96514881447894]
Predicted rank: [0], ambiguousness: [[0.82338315 0.17661685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.29710247321643]
Predicted rank: [0], ambiguousness: [[0.72117686 0.2788231 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.31493184390065]
Predicted rank: [0], ambiguousness: [[0.6231803  0.37681967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.58842545372858]
Predicted rank: [0], ambiguousness: [[0.7328063  0.26719365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.8644886248513]
Predicted rank: [0], ambiguousness: [[0.7320384  0.26796165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.97216194671012]
Predicted rank: [0], ambiguousness: [[0.8335105  0.16648948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.2883018508832]
Predicted rank: [0], ambiguousness: [[0.79969263 0.2003074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.39574266667077]
Predicted rank: [0], ambiguousness: [[0.8264751  0.17352492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.43834359446033]
Predicted rank: [0], ambiguousness: [[0.8978006  0.10219939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.69257886922495]
Predicted rank: [0], ambiguousness: [[0.67685187 0.32314813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.0423251147356]
Predicted rank: [0], ambiguousness: [[0.70458245 0.29541755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.18965525801394]
Predicted rank: [0], ambiguousness: [[0.76022637 0.23977366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.23081419327545]
Predicted rank: [0], ambiguousness: [[0.89533806 0.10466193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.29569145643313]
Predicted rank: [0], ambiguousness: [[0.685256   0.31474403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.36883001485111]
Predicted rank: [0], ambiguousness: [[0.86787176 0.13212821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.4031520445524]
Predicted rank: [0], ambiguousness: [[0.6503209  0.34967908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.21037908792034]
Predicted rank: [0], ambiguousness: [[0.7188452 0.2811548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81471805622724]
Predicted rank: [0], ambiguousness: [[0.79912734 0.20087263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.96461021211314]
Predicted rank: [0], ambiguousness: [[0.8017961  0.19820395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.29665044285454]
Predicted rank: [0], ambiguousness: [[0.6939589 0.3060411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.84277972130371]
Predicted rank: [0], ambiguousness: [[0.62307787 0.37692216]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.18095070887401]
Predicted rank: [0], ambiguousness: [[0.72445035 0.27554962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.42173656544773]
Predicted rank: [0], ambiguousness: [[0.723282   0.27671802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.73463426334851]
Predicted rank: [0], ambiguousness: [[0.8075362  0.19246382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.03451079038382]
Predicted rank: [0], ambiguousness: [[0.7814938  0.21850625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.15391348379663]
Predicted rank: [0], ambiguousness: [[0.8079053  0.19209467]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.20019280830942]
Predicted rank: [0], ambiguousness: [[0.8954288 0.1045712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.18122517756447]
Predicted rank: [0], ambiguousness: [[0.5823536  0.41764644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.40079705943242]
Predicted rank: [0], ambiguousness: [[0.6131066  0.38689336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.66646461065915]
Predicted rank: [0], ambiguousness: [[0.7232673 0.2767327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73538205158788]
Predicted rank: [0], ambiguousness: [[0.89529717 0.10470282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.04979128291811]
Predicted rank: [0], ambiguousness: [[0.8115718  0.18842822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.15965395651511]
Predicted rank: [0], ambiguousness: [[0.92544895 0.07455104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.2320852708288]
Predicted rank: [0], ambiguousness: [[0.82032126 0.17967875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.80821709864558]
Predicted rank: [0], ambiguousness: [[0.65809953 0.34190044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.91692655592101]
Predicted rank: [0], ambiguousness: [[0.8911419 0.1088581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.03361860309319]
Predicted rank: [0], ambiguousness: [[0.77610385 0.22389616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.12680634248946]
Predicted rank: [0], ambiguousness: [[0.6571039  0.34289613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.06666217762384]
Predicted rank: [0], ambiguousness: [[0.6345985  0.36540148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.38922182917791]
Predicted rank: [0], ambiguousness: [[0.7190963 0.2809037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.64229154932887]
Predicted rank: [0], ambiguousness: [[0.70733595 0.29266402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.90548465782668]
Predicted rank: [0], ambiguousness: [[0.8266742  0.17332578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.2133749674149]
Predicted rank: [0], ambiguousness: [[0.83135414 0.16864587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.32790155072479]
Predicted rank: [0], ambiguousness: [[0.79696226 0.20303774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.37263757597694]
Predicted rank: [0], ambiguousness: [[0.90448874 0.09551128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.93011745505032]
Predicted rank: [0], ambiguousness: [[0.5772432  0.42275682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.12263546070605]
Predicted rank: [0], ambiguousness: [[0.58851194 0.41148803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.4392904429154]
Predicted rank: [0], ambiguousness: [[0.7073758  0.29262418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.51556267946835]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.9550654745452]
Predicted rank: [0], ambiguousness: [[0.77015436 0.22984563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.07047682768966]
Predicted rank: [0], ambiguousness: [[0.9204723 0.0795277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.14927784676073]
Predicted rank: [0], ambiguousness: [[0.8008402  0.19915982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.20073863799851]
Predicted rank: [0], ambiguousness: [[0.55283844 0.44716159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.37323315811102]
Predicted rank: [0], ambiguousness: [[0.84951466 0.15048535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.591997764681]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.94716459028739]
Predicted rank: [0], ambiguousness: [[0.7740398 0.2259602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.64555614439365]
Predicted rank: [0], ambiguousness: [[0.6478311  0.35216892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.12627737640253]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.74785536968736]
Predicted rank: [0], ambiguousness: [[0.8024073  0.19759268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.8984875878019]
Predicted rank: [0], ambiguousness: [[0.80504304 0.19495697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.22955532236699]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.77647330036838]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.11818193279197]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.3569727449725]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.6814647172558]
Predicted rank: [0], ambiguousness: [[0.8357824  0.16421759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.98042366700922]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.10047758569516]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14696386286525]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.13902668113768]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.35815579801374]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.62437514407696]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.69339330932641]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.0091037822447]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.11907101181241]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.19161973078188]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.77108279824381]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.87979225551923]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.99648430269141]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.08967204208768]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.73982575680964]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.09027093405747]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.3262051316492]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.68091030756719]
Predicted rank: [0], ambiguousness: [[0.8222947  0.17770529]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.9799827170352]
Predicted rank: [0], ambiguousness: [[0.7991351  0.20086491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.10001028375511]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14652054305579]
Predicted rank: [0], ambiguousness: [[0.90166396 0.09833606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.64155436113808]
Predicted rank: [0], ambiguousness: [[0.5828072  0.41719282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.81563381213488]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.1579761992669]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.23865377494732]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.73940783312014]
Predicted rank: [0], ambiguousness: [[0.8143762  0.18562382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.85910293337002]
Predicted rank: [0], ambiguousness: [[0.924197   0.07580297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.94255637455788]
Predicted rank: [0], ambiguousness: [[0.8266979  0.17330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.0117706370909]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.18913858783327]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.41666991589571]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.79427884922038]
Predicted rank: [0], ambiguousness: [[0.81404674 0.18595327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.5615904952362]
Predicted rank: [0], ambiguousness: [[0.65179515 0.34820482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.87232108152438]
Predicted rank: [0], ambiguousness: [[0.5714187 0.4285813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.0612703573259]
Predicted rank: [0], ambiguousness: [[0.6151537  0.38484633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.38588492059455]
Predicted rank: [0], ambiguousness: [[0.7095789 0.2904211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.46315107738134]
Predicted rank: [0], ambiguousness: [[0.8924065  0.10759348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.92507191157489]
Predicted rank: [0], ambiguousness: [[0.8266811  0.17331892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.04081415102384]
Predicted rank: [0], ambiguousness: [[0.9425361 0.0574639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.11990548335433]
Predicted rank: [0], ambiguousness: [[0.82755053 0.17244944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.69756615022916]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.89846401060531]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.17690880703427]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.693422440266]
Predicted rank: [0], ambiguousness: [[0.7859113 0.2140887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.87226303401783]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 109.65083436063745]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.00755913722651]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.2404766107358]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.61587962369467]
Predicted rank: [0], ambiguousness: [[0.8001907 0.1998093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.91389326601168]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.03468119310939]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.08143931463238]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.57616311095975]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.74770266470193]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.09419080336653]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.17552196664387]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.6867285142809]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.80696852693023]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.89101041418712]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.97096833674885]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.14861043834999]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.37667745411943]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.75574407050749]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.52674480856761]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.5365353913756]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.70394790493575]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.06108244942158]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.14361548990082]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.68615160783081]
Predicted rank: [0], ambiguousness: [[0.8084643 0.1915357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.80647283587919]
Predicted rank: [0], ambiguousness: [[0.93222666 0.06777333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.89047631516264]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.37248894531504]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.5860110580661]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.88961082518972]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.4745843182646]
Predicted rank: [0], ambiguousness: [[0.80432236 0.19567764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.67947218503876]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.6333349787449]
Predicted rank: [0], ambiguousness: [[0.5474328 0.4525672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.837608753443]
Predicted rank: [0], ambiguousness: [[0.85615647 0.14384355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.12408010970691]
Predicted rank: [0], ambiguousness: [[0.7749076  0.22509244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.66530807617397]
Predicted rank: [0], ambiguousness: [[0.82629824 0.1737018 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.34085789715425]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.45401336044728]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 108.61759850188258]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 108.98195263773415]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.06550150252565]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.62700551291006]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.74796075974734]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.8326255997969]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.30961851603772]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.52503771471194]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.83260304938233]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.42881822171992]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.64552725546548]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.2574871547189]
Predicted rank: [0], ambiguousness: [[0.5546409 0.4453591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.4772638626925]
Predicted rank: [0], ambiguousness: [[0.8457491  0.15425093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.79572288321322]
Predicted rank: [0], ambiguousness: [[0.77431875 0.22568125]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.42660972529632]
Predicted rank: [0], ambiguousness: [[0.8070782  0.19292183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.00749482779878]
Predicted rank: [0], ambiguousness: [[0.5629747 0.4370253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.27878735201082]
Predicted rank: [0], ambiguousness: [[0.55681276 0.44318727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.21149117979434]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.43333691055682]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 108.75649141126063]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.4011920725572]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.98122597116716]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 107.91534367739746]
Predicted rank: [0], ambiguousness: [[0.56064916 0.43935087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.04899561536152]
Predicted rank: [0], ambiguousness: [[0.5634068  0.43659315]]
Running local search 11
Switching 11 patient(s). Size of neighborhood: 167960
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.4130987935643]
Predicted rank: [0], ambiguousness: [[0.71083117 0.28916886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.99386972860268]
Predicted rank: [0], ambiguousness: [[0.8164944 0.1835056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.10209920995769]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.32742455121397]
Predicted rank: [0], ambiguousness: [[0.74789166 0.2521083 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.46399779492849]
Predicted rank: [0], ambiguousness: [[0.7845862 0.2154138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.66484635999532]
Predicted rank: [0], ambiguousness: [[0.5403904  0.45960966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.33572077992949]
Predicted rank: [0], ambiguousness: [[0.7268232 0.2731768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.73922471159491]
Predicted rank: [0], ambiguousness: [[0.838172   0.16182797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.95194498589518]
Predicted rank: [0], ambiguousness: [[0.8353651  0.16463487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.17883743535344]
Predicted rank: [0], ambiguousness: [[0.7683633  0.23163672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.31606353410292]
Predicted rank: [0], ambiguousness: [[0.8037201  0.19627991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.51551970516718]
Predicted rank: [0], ambiguousness: [[0.5981215  0.40187845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.66048927309792]
Predicted rank: [0], ambiguousness: [[0.8305248 0.1694752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.06969312204123]
Predicted rank: [0], ambiguousness: [[0.8307778  0.16922219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.670062457012]
Predicted rank: [0], ambiguousness: [[0.86918753 0.13081245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.87244647115966]
Predicted rank: [0], ambiguousness: [[0.89937204 0.10062794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.95853509714001]
Predicted rank: [0], ambiguousness: [[0.7323369 0.2676631]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.74566101229209]
Predicted rank: [0], ambiguousness: [[0.815333   0.18466698]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.9882333636184]
Predicted rank: [0], ambiguousness: [[0.84622025 0.15377977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.13557535193681]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.18965912025811]
Predicted rank: [0], ambiguousness: [[0.77073383 0.2292662 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.354056779384]
Predicted rank: [0], ambiguousness: [[0.6668085  0.33319148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.4493937813615]
Predicted rank: [0], ambiguousness: [[0.66503996 0.33496004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.49068950956544]
Predicted rank: [0], ambiguousness: [[0.8421146  0.15788537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.65655634815025]
Predicted rank: [0], ambiguousness: [[0.8431834  0.15681659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.87525390278552]
Predicted rank: [0], ambiguousness: [[0.849552   0.15044804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.10214635224378]
Predicted rank: [0], ambiguousness: [[0.7868506  0.21314946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.23937245099324]
Predicted rank: [0], ambiguousness: [[0.8261362  0.17386383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.43882862205751]
Predicted rank: [0], ambiguousness: [[0.6421819  0.35781813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.30334653672155]
Predicted rank: [0], ambiguousness: [[0.84500784 0.15499218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.77164215882843]
Predicted rank: [0], ambiguousness: [[0.85447085 0.14552915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.40888105788693]
Predicted rank: [0], ambiguousness: [[0.884998   0.11500199]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.61654562426017]
Predicted rank: [0], ambiguousness: [[0.9123386  0.08766142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.69347072761673]
Predicted rank: [0], ambiguousness: [[0.7837372  0.21626282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.59434247066994]
Predicted rank: [0], ambiguousness: [[0.84077406 0.15922593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.83840534556592]
Predicted rank: [0], ambiguousness: [[0.86871386 0.13128611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.98407097677725]
Predicted rank: [0], ambiguousness: [[0.78963304 0.210367  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.0413146183686]
Predicted rank: [0], ambiguousness: [[0.80706066 0.19293933]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.20419658670447]
Predicted rank: [0], ambiguousness: [[0.72438484 0.27561516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.30016599978609]
Predicted rank: [0], ambiguousness: [[0.71785545 0.28214455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.34167393026166]
Predicted rank: [0], ambiguousness: [[0.8647784  0.13522159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.61170387168389]
Predicted rank: [0], ambiguousness: [[0.85956573 0.14043424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.49740617548545]
Predicted rank: [0], ambiguousness: [[0.85032046 0.14967953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.31678079517775]
Predicted rank: [0], ambiguousness: [[0.8748628  0.12513724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.53472678498764]
Predicted rank: [0], ambiguousness: [[0.90623814 0.09376188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.60028564737362]
Predicted rank: [0], ambiguousness: [[0.75570256 0.24429743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.51068953826226]
Predicted rank: [0], ambiguousness: [[0.78012115 0.21987884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.9146747162246]
Predicted rank: [0], ambiguousness: [[0.8512002  0.14879978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.89272181052135]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.48891158453026]
Predicted rank: [0], ambiguousness: [[0.8851141 0.1148859]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.52805099899287]
Predicted rank: [0], ambiguousness: [[0.82764226 0.17235775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.68877044287024]
Predicted rank: [0], ambiguousness: [[0.8392064  0.16079359]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.7520613660401]
Predicted rank: [0], ambiguousness: [[0.9204938  0.07950622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.57032704308622]
Predicted rank: [0], ambiguousness: [[0.8208809  0.17911913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.66160434345116]
Predicted rank: [0], ambiguousness: [[0.7496739 0.2503261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.88206532010582]
Predicted rank: [0], ambiguousness: [[0.7964531  0.20354688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.94295985899336]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.04855259058257]
Predicted rank: [0], ambiguousness: [[0.707985   0.29201502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.15543288281775]
Predicted rank: [0], ambiguousness: [[0.90441304 0.09558697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.20935410699835]
Predicted rank: [0], ambiguousness: [[0.7264918 0.2735082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.1983373534892]
Predicted rank: [0], ambiguousness: [[0.8567269  0.14327314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.68834165684649]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.32810491005009]
Predicted rank: [0], ambiguousness: [[0.89557624 0.10442373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.53603900221144]
Predicted rank: [0], ambiguousness: [[0.9224957  0.07750429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.61253308657408]
Predicted rank: [0], ambiguousness: [[0.80098796 0.19901206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.5199074615215]
Predicted rank: [0], ambiguousness: [[0.84517324 0.15482673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.76397033641747]
Predicted rank: [0], ambiguousness: [[0.87530667 0.12469331]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.90963596762882]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.96687960922017]
Predicted rank: [0], ambiguousness: [[0.82616454 0.17383544]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.12976157755602]
Predicted rank: [0], ambiguousness: [[0.7323951 0.2676049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.22573099063766]
Predicted rank: [0], ambiguousness: [[0.73109514 0.26890486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.26723892111323]
Predicted rank: [0], ambiguousness: [[0.8583738 0.1416262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.21163194698573]
Predicted rank: [0], ambiguousness: [[0.8600843  0.13991569]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.0213859022449]
Predicted rank: [0], ambiguousness: [[0.85655    0.14345002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.94868399342735]
Predicted rank: [0], ambiguousness: [[0.8892183  0.11078171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.17642453329753]
Predicted rank: [0], ambiguousness: [[0.9165302  0.08346981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.22694332781704]
Predicted rank: [0], ambiguousness: [[0.7897037  0.21029627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.19565148101287]
Predicted rank: [0], ambiguousness: [[0.79119796 0.20880203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.61530109403762]
Predicted rank: [0], ambiguousness: [[0.8580607  0.14193927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.57905191118384]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.22652139610808]
Predicted rank: [0], ambiguousness: [[0.90411025 0.09588977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.25563311272967]
Predicted rank: [0], ambiguousness: [[0.85485363 0.14514638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.42163277466778]
Predicted rank: [0], ambiguousness: [[0.86896706 0.13103291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.48663771924997]
Predicted rank: [0], ambiguousness: [[0.9277853  0.07221471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.42053927370662]
Predicted rank: [0], ambiguousness: [[0.82885826 0.17114176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.50989457519502]
Predicted rank: [0], ambiguousness: [[0.76553047 0.23446956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.73201235182258]
Predicted rank: [0], ambiguousness: [[0.80378854 0.19621149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.79323196545623]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.8999645923307]
Predicted rank: [0], ambiguousness: [[0.7242567 0.2757433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.00735379862665]
Predicted rank: [0], ambiguousness: [[0.9040246  0.09597542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.06181964906271]
Predicted rank: [0], ambiguousness: [[0.7231755 0.2768245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.4167116132874]
Predicted rank: [0], ambiguousness: [[0.851732   0.14826797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.26949226607547]
Predicted rank: [0], ambiguousness: [[0.927013   0.07298703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.48800023500183]
Predicted rank: [0], ambiguousness: [[0.9200153  0.07998475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.5528577286555]
Predicted rank: [0], ambiguousness: [[0.7918111  0.20818889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.84068090798706]
Predicted rank: [0], ambiguousness: [[0.78569573 0.21430428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.33054299445364]
Predicted rank: [0], ambiguousness: [[0.8533181  0.14668189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.26046597025527]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.12816052134232]
Predicted rank: [0], ambiguousness: [[0.8916942 0.1083058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14468193552095]
Predicted rank: [0], ambiguousness: [[0.834813   0.16518703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.32159460862087]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.38984810919092]
Predicted rank: [0], ambiguousness: [[0.92346525 0.07653473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25817022603067]
Predicted rank: [0], ambiguousness: [[0.7639593 0.2360407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.15039902357398]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.5475014229489]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.64994752864489]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.12661344471546]
Predicted rank: [0], ambiguousness: [[0.84081197 0.15918802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.2888028100818]
Predicted rank: [0], ambiguousness: [[0.94895107 0.05104892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.39970683493061]
Predicted rank: [0], ambiguousness: [[0.8602364  0.13976358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.27285803051655]
Predicted rank: [0], ambiguousness: [[0.7173846 0.2826154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.43287569182546]
Predicted rank: [0], ambiguousness: [[0.92193055 0.07806943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.61011356933548]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75880606636886]
Predicted rank: [0], ambiguousness: [[0.72180486 0.2781951 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.08450263919462]
Predicted rank: [0], ambiguousness: [[0.85126936 0.14873067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.9010746650402]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.84808145211406]
Predicted rank: [0], ambiguousness: [[0.8895369  0.11046309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.077144550898]
Predicted rank: [0], ambiguousness: [[0.91991365 0.08008638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.12587171340098]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.11728937409308]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.53794340483906]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.50092851762881]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.15171677885917]
Predicted rank: [0], ambiguousness: [[0.9135203  0.08647972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.18035521193605]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.34662837040233]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.41171884899859]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.35224432455499]
Predicted rank: [0], ambiguousness: [[0.83477014 0.16522984]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.4415996260434]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.66371740267095]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.72493701630461]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.83166964317908]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.93905884947503]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.99352469991109]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.86853948855688]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.86144935248508]
Predicted rank: [0], ambiguousness: [[0.8970556  0.10294439]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.0903147226851]
Predicted rank: [0], ambiguousness: [[0.91354436 0.08645565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.13943033463882]
Predicted rank: [0], ambiguousness: [[0.77747697 0.22252305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.32008947335024]
Predicted rank: [0], ambiguousness: [[0.79119796 0.20880203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.85255764036651]
Predicted rank: [0], ambiguousness: [[0.8580607  0.14193927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.75343246928156]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.75972658960873]
Predicted rank: [0], ambiguousness: [[0.8985085 0.1014915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.75976848732519]
Predicted rank: [0], ambiguousness: [[0.8468618 0.1531382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.94664510093267]
Predicted rank: [0], ambiguousness: [[0.8648629  0.13513708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.01808802494989]
Predicted rank: [0], ambiguousness: [[0.9262735  0.07372648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.94201425425342]
Predicted rank: [0], ambiguousness: [[0.7708152  0.22918482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.8171194864141]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.2317955941136]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.33782991385988]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.85248609893341]
Predicted rank: [0], ambiguousness: [[0.86762035 0.13237967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.0189824940748]
Predicted rank: [0], ambiguousness: [[0.95060796 0.04939207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.13452737924379]
Predicted rank: [0], ambiguousness: [[0.8739525  0.12604746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.12553821238475]
Predicted rank: [0], ambiguousness: [[0.7304828 0.2695172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.28648564659849]
Predicted rank: [0], ambiguousness: [[0.921535   0.07846497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.46530972700751]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.61543512561343]
Predicted rank: [0], ambiguousness: [[0.72922003 0.27077994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.75295137758258]
Predicted rank: [0], ambiguousness: [[0.80123484 0.19876514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.25434960392475]
Predicted rank: [0], ambiguousness: [[0.8526049  0.14739509]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.17965765685192]
Predicted rank: [0], ambiguousness: [[0.7750802  0.22491978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.08647360358496]
Predicted rank: [0], ambiguousness: [[0.91430163 0.08569837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.1022428213754]
Predicted rank: [0], ambiguousness: [[0.8852957  0.11470431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.27972498182741]
Predicted rank: [0], ambiguousness: [[0.858118 0.141882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.34818999524991]
Predicted rank: [0], ambiguousness: [[0.9336404  0.06635956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.56053275043602]
Predicted rank: [0], ambiguousness: [[0.7639593 0.2360407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.39117489448921]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.88952492078045]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.00749807613184]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.7276235724458]
Predicted rank: [0], ambiguousness: [[0.83774066 0.16225931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.90296021163067]
Predicted rank: [0], ambiguousness: [[0.94783676 0.05216326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.0286134911467]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.5902951940493]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.85329957690331]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.19573827471572]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.76767642914268]
Predicted rank: [0], ambiguousness: [[0.8404543  0.15954572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.9282192660996]
Predicted rank: [0], ambiguousness: [[0.72357786 0.27642217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.7238691590864]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.75148703237716]
Predicted rank: [0], ambiguousness: [[0.89027274 0.10972727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.9818381418378]
Predicted rank: [0], ambiguousness: [[0.9077362  0.09226384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.0289646053435]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.21034790859686]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.74993836820173]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.64672448368444]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.67638896600947]
Predicted rank: [0], ambiguousness: [[0.9084126  0.09158742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.67455105752168]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.86273452150904]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.93459348676046]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.8804670778749]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.75467926050885]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.17045002878245]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.27668350765762]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.79391778229139]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.96062097291698]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.07639691283416]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.07396425957701]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.23491091547862]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.41373368137718]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.5638579894615]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.15634374757917]
Predicted rank: [0], ambiguousness: [[0.78416646 0.21583356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.71128066477738]
Predicted rank: [0], ambiguousness: [[0.8521806 0.1478194]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.60312682302242]
Predicted rank: [0], ambiguousness: [[0.7744917  0.22550827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.685897727591]
Predicted rank: [0], ambiguousness: [[0.9036841  0.09631591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.68446460001314]
Predicted rank: [0], ambiguousness: [[0.8492857  0.15071431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.87246199879866]
Predicted rank: [0], ambiguousness: [[0.8466591  0.15334088]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.9443217278187]
Predicted rank: [0], ambiguousness: [[0.9274379  0.07256208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.03672035991556]
Predicted rank: [0], ambiguousness: [[0.76921093 0.23078908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.83130835986582]
Predicted rank: [0], ambiguousness: [[0.692013   0.30798694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.37893327487136]
Predicted rank: [0], ambiguousness: [[0.78480744 0.21519259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.50534206758742]
Predicted rank: [0], ambiguousness: [[0.9200301  0.07996988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.34271482830097]
Predicted rank: [0], ambiguousness: [[0.8594625  0.14053753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.52627051247497]
Predicted rank: [0], ambiguousness: [[0.9472532  0.05274676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.6607983371327]
Predicted rank: [0], ambiguousness: [[0.8692718 0.1307282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.25510493923645]
Predicted rank: [0], ambiguousness: [[0.65098643 0.3490136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.5274446116498]
Predicted rank: [0], ambiguousness: [[0.8898973  0.11010269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.8866457800093]
Predicted rank: [0], ambiguousness: [[0.82839566 0.17160434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.50148350865572]
Predicted rank: [0], ambiguousness: [[0.8591992  0.14080077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.79334029402295]
Predicted rank: [0], ambiguousness: [[0.7223743  0.27762565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.48205257583528]
Predicted rank: [0], ambiguousness: [[0.75832057 0.24167943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.30631630451573]
Predicted rank: [0], ambiguousness: [[0.6964768 0.3035232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.81861178195132]
Predicted rank: [0], ambiguousness: [[0.77537394 0.22462606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.93832092153875]
Predicted rank: [0], ambiguousness: [[0.9213716  0.07862841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.69757297007516]
Predicted rank: [0], ambiguousness: [[0.8710929  0.12890711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.87348473853908]
Predicted rank: [0], ambiguousness: [[0.9608694  0.03913064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.99963802378299]
Predicted rank: [0], ambiguousness: [[0.8717741  0.12822592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.7694468303826]
Predicted rank: [0], ambiguousness: [[0.63970125 0.36029875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.08036442338292]
Predicted rank: [0], ambiguousness: [[0.8920076 0.1079924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.52322555225244]
Predicted rank: [0], ambiguousness: [[0.8302623  0.16973767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.3663538612889]
Predicted rank: [0], ambiguousness: [[0.83873206 0.16126792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.12585366281283]
Predicted rank: [0], ambiguousness: [[0.64675856 0.35324144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.09001646923531]
Predicted rank: [0], ambiguousness: [[0.77293724 0.22706275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.65253226737156]
Predicted rank: [0], ambiguousness: [[0.84378505 0.15621492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.54102063745025]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.64882050839776]
Predicted rank: [0], ambiguousness: [[0.8909632  0.10903683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64647589805578]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.83519819381198]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.90729626031852]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.00358183883233]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.7956788350647]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.34772641299625]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.47479686703677]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.32364970226433]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.50769796554029]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.64275179629544]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.25294150732773]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.5252658406018]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.88451008214213]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.49962028700838]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.79118528197688]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.92405011216431]
Predicted rank: [0], ambiguousness: [[0.76116085 0.23883912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.7083680765663]
Predicted rank: [0], ambiguousness: [[0.6710822 0.3289178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.27984554421431]
Predicted rank: [0], ambiguousness: [[0.7724082  0.22759181]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.40912138696385]
Predicted rank: [0], ambiguousness: [[0.92213976 0.07786024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.31481098731922]
Predicted rank: [0], ambiguousness: [[0.85393435 0.14606565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.49904969644115]
Predicted rank: [0], ambiguousness: [[0.95267737 0.04732265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.63408076137063]
Predicted rank: [0], ambiguousness: [[0.85927093 0.14072907]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.22864042124715]
Predicted rank: [0], ambiguousness: [[0.63942075 0.36057925]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.56254312561845]
Predicted rank: [0], ambiguousness: [[0.8848483  0.11515173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.05111253327837]
Predicted rank: [0], ambiguousness: [[0.8210933 0.1789067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.01850419970441]
Predicted rank: [0], ambiguousness: [[0.8448985  0.15510148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.82393315446839]
Predicted rank: [0], ambiguousness: [[0.6320697  0.36793032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.70669639167046]
Predicted rank: [0], ambiguousness: [[0.6276443  0.37235567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.02329828319617]
Predicted rank: [0], ambiguousness: [[0.89758664 0.10241338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.47976087842657]
Predicted rank: [0], ambiguousness: [[0.8275059 0.1724941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.36485732069052]
Predicted rank: [0], ambiguousness: [[0.869238   0.13076197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.28419348150815]
Predicted rank: [0], ambiguousness: [[0.64361143 0.3563886 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.1798006351255]
Predicted rank: [0], ambiguousness: [[0.7631916 0.2368084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.97739012781784]
Predicted rank: [0], ambiguousness: [[0.6659683  0.33403167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.53282380278176]
Predicted rank: [0], ambiguousness: [[0.7923559  0.20764413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.65920311873123]
Predicted rank: [0], ambiguousness: [[0.92733    0.07266998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.52882856718483]
Predicted rank: [0], ambiguousness: [[0.85432214 0.14567785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.70999448359578]
Predicted rank: [0], ambiguousness: [[0.9496256  0.05037442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.84174543449821]
Predicted rank: [0], ambiguousness: [[0.85562587 0.14437412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.50316032532484]
Predicted rank: [0], ambiguousness: [[0.6936239 0.3063761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.82941185722694]
Predicted rank: [0], ambiguousness: [[0.88682145 0.11317856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.30347637943981]
Predicted rank: [0], ambiguousness: [[0.8348214  0.16517861]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.23384144413396]
Predicted rank: [0], ambiguousness: [[0.8604591  0.13954088]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.04369273990791]
Predicted rank: [0], ambiguousness: [[0.6541935  0.34580645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.38356836191201]
Predicted rank: [0], ambiguousness: [[0.6338438 0.3661562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.71755884784986]
Predicted rank: [0], ambiguousness: [[0.88517094 0.11482906]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.21045188432785]
Predicted rank: [0], ambiguousness: [[0.8203043  0.17969576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.19985675234713]
Predicted rank: [0], ambiguousness: [[0.8538103  0.14618972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.01439741060601]
Predicted rank: [0], ambiguousness: [[0.6116904  0.38830963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.38615746342668]
Predicted rank: [0], ambiguousness: [[0.62498736 0.37501264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.33554656873298]
Predicted rank: [0], ambiguousness: [[0.73529273 0.26470727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.73905050039838]
Predicted rank: [0], ambiguousness: [[0.83753526 0.16246474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.95177077469867]
Predicted rank: [0], ambiguousness: [[0.83624434 0.16375567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.17866322415694]
Predicted rank: [0], ambiguousness: [[0.7790271  0.22097291]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.31588932290641]
Predicted rank: [0], ambiguousness: [[0.80472875 0.19527124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.51534549397067]
Predicted rank: [0], ambiguousness: [[0.6143309  0.38566908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.66031506190143]
Predicted rank: [0], ambiguousness: [[0.8370169  0.16298313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.06951891084472]
Predicted rank: [0], ambiguousness: [[0.83726203 0.16273794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.66988824581546]
Predicted rank: [0], ambiguousness: [[0.8912995  0.10870051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.87227225996315]
Predicted rank: [0], ambiguousness: [[0.9035331 0.0964669]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.9583608859435]
Predicted rank: [0], ambiguousness: [[0.7394337 0.2605663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.74548680109558]
Predicted rank: [0], ambiguousness: [[0.841548   0.15845199]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.98805915242187]
Predicted rank: [0], ambiguousness: [[0.85221803 0.14778198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.13540114074029]
Predicted rank: [0], ambiguousness: [[0.7664675  0.23353247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.1894849090616]
Predicted rank: [0], ambiguousness: [[0.7789066  0.22109342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.35388256818746]
Predicted rank: [0], ambiguousness: [[0.7191072 0.2808928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.44921957016498]
Predicted rank: [0], ambiguousness: [[0.6887292  0.31127077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.49051529836893]
Predicted rank: [0], ambiguousness: [[0.8559925  0.14400752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.6556903158996]
Predicted rank: [0], ambiguousness: [[0.8100896  0.18991044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.87438787053486]
Predicted rank: [0], ambiguousness: [[0.80819637 0.19180362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.10128031999312]
Predicted rank: [0], ambiguousness: [[0.73366284 0.2663372 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.23850641874262]
Predicted rank: [0], ambiguousness: [[0.78001076 0.21998923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.43796258980686]
Predicted rank: [0], ambiguousness: [[0.62750614 0.3724939 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.3024805044709]
Predicted rank: [0], ambiguousness: [[0.80784976 0.19215026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.77077612657779]
Predicted rank: [0], ambiguousness: [[0.8081287  0.19187127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.4080150256363]
Predicted rank: [0], ambiguousness: [[0.8589146 0.1410854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.61567959200951]
Predicted rank: [0], ambiguousness: [[0.88920593 0.11079405]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.6926046953661]
Predicted rank: [0], ambiguousness: [[0.76684266 0.23315732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.59347643841929]
Predicted rank: [0], ambiguousness: [[0.7911365  0.20886348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.83753931331529]
Predicted rank: [0], ambiguousness: [[0.82598364 0.17401636]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.98320494452662]
Predicted rank: [0], ambiguousness: [[0.7720547  0.22794536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.04044858611796]
Predicted rank: [0], ambiguousness: [[0.7500378  0.24996221]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.20333055445381]
Predicted rank: [0], ambiguousness: [[0.7034023  0.29659775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.29929996753546]
Predicted rank: [0], ambiguousness: [[0.696584   0.30341598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.34080789801102]
Predicted rank: [0], ambiguousness: [[0.8547243  0.14527568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.61083783943326]
Predicted rank: [0], ambiguousness: [[0.8251757 0.1748243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.49654014323482]
Predicted rank: [0], ambiguousness: [[0.80296147 0.19703853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.31591476292712]
Predicted rank: [0], ambiguousness: [[0.84353685 0.15646318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.53386075273698]
Predicted rank: [0], ambiguousness: [[0.88170445 0.11829555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.59941961512298]
Predicted rank: [0], ambiguousness: [[0.7394947  0.26050532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.50982350601163]
Predicted rank: [0], ambiguousness: [[0.71791923 0.2820808 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.91380868397395]
Predicted rank: [0], ambiguousness: [[0.80405545 0.19594456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.89185577827072]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.4880455522796]
Predicted rank: [0], ambiguousness: [[0.85905284 0.14094718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.52718496674223]
Predicted rank: [0], ambiguousness: [[0.8188584 0.1811416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.68790441061958]
Predicted rank: [0], ambiguousness: [[0.8272723  0.17272773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.75119533378944]
Predicted rank: [0], ambiguousness: [[0.91462153 0.08537848]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.56946101083557]
Predicted rank: [0], ambiguousness: [[0.76676214 0.23323785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.6607383112005]
Predicted rank: [0], ambiguousness: [[0.7298987  0.27010128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.88119928785517]
Predicted rank: [0], ambiguousness: [[0.7792854  0.22071464]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.9420938267427]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.04768655833192]
Predicted rank: [0], ambiguousness: [[0.68629456 0.3137054 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.15456685056711]
Predicted rank: [0], ambiguousness: [[0.8969547  0.10304527]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.2084880747477]
Predicted rank: [0], ambiguousness: [[0.70560443 0.2943956 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.19521319085753]
Predicted rank: [0], ambiguousness: [[0.7777514 0.2222486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.68521749421478]
Predicted rank: [0], ambiguousness: [[0.789837   0.21016301]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.32498074741838]
Predicted rank: [0], ambiguousness: [[0.83518314 0.16481686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.53291483957975]
Predicted rank: [0], ambiguousness: [[0.87446123 0.12553877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.60940892394238]
Predicted rank: [0], ambiguousness: [[0.7468872  0.25311282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.5167832988898]
Predicted rank: [0], ambiguousness: [[0.77168256 0.22831745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.7608461737858]
Predicted rank: [0], ambiguousness: [[0.81537145 0.18462856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.90651180499714]
Predicted rank: [0], ambiguousness: [[0.76606894 0.23393106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.96375544658846]
Predicted rank: [0], ambiguousness: [[0.74937195 0.25062805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.12663741492432]
Predicted rank: [0], ambiguousness: [[0.6963229 0.3036771]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.22260682800596]
Predicted rank: [0], ambiguousness: [[0.6982979  0.30170208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.26411475848153]
Predicted rank: [0], ambiguousness: [[0.8422861 0.1577139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.20850778435405]
Predicted rank: [0], ambiguousness: [[0.7891294  0.21087061]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.01826173961321]
Predicted rank: [0], ambiguousness: [[0.79624    0.20376003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.94555983079567]
Predicted rank: [0], ambiguousness: [[0.8278544  0.17214558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.17330037066583]
Predicted rank: [0], ambiguousness: [[0.8698695  0.13013051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.22381916518536]
Predicted rank: [0], ambiguousness: [[0.7433176  0.25668243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.19252731838117]
Predicted rank: [0], ambiguousness: [[0.7093468 0.2906532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.61217693140593]
Predicted rank: [0], ambiguousness: [[0.7982363  0.20176369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.57592774855215]
Predicted rank: [0], ambiguousness: [[0.7652188  0.23478119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.22339723347639]
Predicted rank: [0], ambiguousness: [[0.8548289 0.1451711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.25250895009799]
Predicted rank: [0], ambiguousness: [[0.820964   0.17903605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.41850861203608]
Predicted rank: [0], ambiguousness: [[0.8364434 0.1635566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.48351355661828]
Predicted rank: [0], ambiguousness: [[0.91024864 0.08975133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.41741511107492]
Predicted rank: [0], ambiguousness: [[0.7601658 0.2398342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.50677041256333]
Predicted rank: [0], ambiguousness: [[0.73995495 0.26004505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.72888818919088]
Predicted rank: [0], ambiguousness: [[0.7839125  0.21608752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.79010780282454]
Predicted rank: [0], ambiguousness: [[0.9140999  0.08590011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.89684042969901]
Predicted rank: [0], ambiguousness: [[0.6993378  0.30066222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.00422963599496]
Predicted rank: [0], ambiguousness: [[0.8909576  0.10904241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.05869548643102]
Predicted rank: [0], ambiguousness: [[0.6981995  0.30180046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.41358745065571]
Predicted rank: [0], ambiguousness: [[0.78989327 0.21010672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.26636810344381]
Predicted rank: [0], ambiguousness: [[0.8838497  0.11615034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.48487607237016]
Predicted rank: [0], ambiguousness: [[0.8750371 0.1249629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.5497335660238]
Predicted rank: [0], ambiguousness: [[0.7457402  0.25425985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.83755674535539]
Predicted rank: [0], ambiguousness: [[0.7024987  0.29750136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.32741883182194]
Predicted rank: [0], ambiguousness: [[0.79197925 0.20802073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.25734180762359]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.12503635871064]
Predicted rank: [0], ambiguousness: [[0.8336694  0.16633058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14155777288927]
Predicted rank: [0], ambiguousness: [[0.793195   0.20680496]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.31847044598919]
Predicted rank: [0], ambiguousness: [[0.81077206 0.18922791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.38672394655923]
Predicted rank: [0], ambiguousness: [[0.90593666 0.09406336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25504606339899]
Predicted rank: [0], ambiguousness: [[0.67929673 0.32070324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.14727486094228]
Predicted rank: [0], ambiguousness: [[0.64360154 0.35639843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.54437726031722]
Predicted rank: [0], ambiguousness: [[0.75322485 0.24677515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.6468233660132]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.12348928208377]
Predicted rank: [0], ambiguousness: [[0.8068961  0.19310394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.28567864745011]
Predicted rank: [0], ambiguousness: [[0.93508637 0.0649136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.39658267229893]
Predicted rank: [0], ambiguousness: [[0.8259797  0.17402032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.26973386788487]
Predicted rank: [0], ambiguousness: [[0.69210863 0.30789134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.42975152919377]
Predicted rank: [0], ambiguousness: [[0.9110616  0.08893839]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.60698940670379]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75568190373718]
Predicted rank: [0], ambiguousness: [[0.6967572  0.30324283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.07516859706485]
Predicted rank: [0], ambiguousness: [[0.79206914 0.20793086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.8917597014132]
Predicted rank: [0], ambiguousness: [[0.7990254 0.2009746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.83878644929271]
Predicted rank: [0], ambiguousness: [[0.842755   0.15724498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.06785075471211]
Predicted rank: [0], ambiguousness: [[0.8843235 0.1156765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.11657632469421]
Predicted rank: [0], ambiguousness: [[0.7628168 0.2371832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.10801949859193]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.52867409103675]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.49165879279099]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.14244889149603]
Predicted rank: [0], ambiguousness: [[0.8782315 0.1217685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.17108707651155]
Predicted rank: [0], ambiguousness: [[0.8380476  0.16195235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33736038094978]
Predicted rank: [0], ambiguousness: [[0.85553956 0.14446045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.40245090467592]
Predicted rank: [0], ambiguousness: [[0.91240454 0.08759545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.34297985343169]
Predicted rank: [0], ambiguousness: [[0.7707712  0.22922881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.43233515492011]
Predicted rank: [0], ambiguousness: [[0.7476703  0.25232968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.65445293154765]
Predicted rank: [0], ambiguousness: [[0.7949379  0.20506209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.71567254518132]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.8224051720558]
Predicted rank: [0], ambiguousness: [[0.7269223 0.2730777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92979437835174]
Predicted rank: [0], ambiguousness: [[0.8910969  0.10890313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.9842602287878]
Predicted rank: [0], ambiguousness: [[0.6941298 0.3058702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.85941582522422]
Predicted rank: [0], ambiguousness: [[0.7936041  0.20639592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.85232568915242]
Predicted rank: [0], ambiguousness: [[0.85293144 0.14706855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.08119105935245]
Predicted rank: [0], ambiguousness: [[0.8755068  0.12449319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.13030667130619]
Predicted rank: [0], ambiguousness: [[0.7405976  0.25940242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.31096581001758]
Predicted rank: [0], ambiguousness: [[0.71606255 0.28393745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.84343397703387]
Predicted rank: [0], ambiguousness: [[0.8009317  0.19906832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.74430880594892]
Predicted rank: [0], ambiguousness: [[0.76166517 0.23833483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.75060292627609]
Predicted rank: [0], ambiguousness: [[0.8549064 0.1450936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.75064482399253]
Predicted rank: [0], ambiguousness: [[0.8188017 0.1811983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.93752143760003]
Predicted rank: [0], ambiguousness: [[0.839476 0.160524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.00896436161725]
Predicted rank: [0], ambiguousness: [[0.91123927 0.08876076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.93289059092078]
Predicted rank: [0], ambiguousness: [[0.69120777 0.30879223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.80799582308146]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.22267193078096]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.32870625052723]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.84336243560077]
Predicted rank: [0], ambiguousness: [[0.846014   0.15398595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.00985883074216]
Predicted rank: [0], ambiguousness: [[0.94163525 0.05836475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.12540371591115]
Predicted rank: [0], ambiguousness: [[0.849977   0.15002297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.11641454905211]
Predicted rank: [0], ambiguousness: [[0.7017964  0.29820356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.27736198326585]
Predicted rank: [0], ambiguousness: [[0.9106975  0.08930249]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.45618606367486]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.60631146228076]
Predicted rank: [0], ambiguousness: [[0.70045435 0.29954565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.74382771424995]
Predicted rank: [0], ambiguousness: [[0.72847164 0.27152836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.24522594059209]
Predicted rank: [0], ambiguousness: [[0.79380757 0.20619242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.17053399351926]
Predicted rank: [0], ambiguousness: [[0.7495129 0.2504871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.07734994025233]
Predicted rank: [0], ambiguousness: [[0.8765522  0.12344776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.09311915804275]
Predicted rank: [0], ambiguousness: [[0.86313987 0.13686012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.27060131849476]
Predicted rank: [0], ambiguousness: [[0.8317105  0.16828947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.33906633191725]
Predicted rank: [0], ambiguousness: [[0.9199786  0.08002137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.55140908710337]
Predicted rank: [0], ambiguousness: [[0.68294996 0.31705004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.38205123115657]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.8804012574478]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.9983744127992]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.71849990911315]
Predicted rank: [0], ambiguousness: [[0.80838746 0.19161253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.89383654829801]
Predicted rank: [0], ambiguousness: [[0.9369001  0.06309994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.01948982781406]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.58117153071666]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.84417591357067]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.18661461138308]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.75855276581001]
Predicted rank: [0], ambiguousness: [[0.8153577  0.18464229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91909560276696]
Predicted rank: [0], ambiguousness: [[0.6944639 0.3055361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.69400329434107]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.723124041732]
Predicted rank: [0], ambiguousness: [[0.84374774 0.1562523 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.9535409200736]
Predicted rank: [0], ambiguousness: [[0.86751384 0.13248618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.00057792425977]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.18197596844132]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.72187324389003]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.61847972096882]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.64915237796214]
Predicted rank: [0], ambiguousness: [[0.8684424 0.1315576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64722977466815]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.83547093320568]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.9073483167044]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.85410363013864]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.7282676415254]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.14409446255229]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.25033846665993]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.76770201925112]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.93441664065412]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.05020523854273]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.04811959990047]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.20906703411423]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.38789111452323]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.53801651312914]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.13258511522133]
Predicted rank: [0], ambiguousness: [[0.7093078  0.29069224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.68763864089814]
Predicted rank: [0], ambiguousness: [[0.79473674 0.20526324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.57941864861519]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.66257298911535]
Predicted rank: [0], ambiguousness: [[0.86270666 0.13729334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.6611097716945]
Predicted rank: [0], ambiguousness: [[0.8224915  0.17750849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.84912651716502]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.92099245715667]
Predicted rank: [0], ambiguousness: [[0.91311634 0.08688365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.01322145062588]
Predicted rank: [0], ambiguousness: [[0.69120777 0.30879223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.80774334441634]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.35546369623813]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.48188832666173]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.31949245176511]
Predicted rank: [0], ambiguousness: [[0.83412415 0.16587584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.50306282593698]
Predicted rank: [0], ambiguousness: [[0.9365752  0.06342484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.63760665527087]
Predicted rank: [0], ambiguousness: [[0.8453839  0.15461612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.23202232243398]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.5043768049371]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.86360557931013]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.47851634690454]
Predicted rank: [0], ambiguousness: [[0.83733153 0.16266844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.77058054425193]
Predicted rank: [0], ambiguousness: [[0.6951107  0.30488932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.45965105532913]
Predicted rank: [0], ambiguousness: [[0.67462236 0.32537764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.28391478400957]
Predicted rank: [0], ambiguousness: [[0.66422737 0.3357726 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.79621026144517]
Predicted rank: [0], ambiguousness: [[0.7484801 0.2515199]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.91591940103258]
Predicted rank: [0], ambiguousness: [[0.909927   0.09007298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.675171449569]
Predicted rank: [0], ambiguousness: [[0.8453686 0.1546314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.85108321803293]
Predicted rank: [0], ambiguousness: [[0.9520749 0.0479251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.97723650327683]
Predicted rank: [0], ambiguousness: [[0.8461617 0.1538383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.74704530987646]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.05796290287677]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.50082403174628]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.34395234078275]
Predicted rank: [0], ambiguousness: [[0.8079735  0.19202647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.10345214230666]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.97333695638483]
Predicted rank: [0], ambiguousness: [[0.6937741 0.3062259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.54107781520683]
Predicted rank: [0], ambiguousness: [[0.78236747 0.2176325 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.42665268163549]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.5516421916004]
Predicted rank: [0], ambiguousness: [[0.84467983 0.15532015]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.54800503399471]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.737550186785]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.80991548165981]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.90067755886388]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.68997008008196]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.24606170273648]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.37380378834305]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.23246911522762]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.41713935247468]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.55286313763884]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.16868239918136]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.44158146497719]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.80187322953194]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.41967441503202]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.71900757105098]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.84162229818307]
Predicted rank: [0], ambiguousness: [[0.6809852 0.3190148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.6236712986222]
Predicted rank: [0], ambiguousness: [[0.6406701  0.35932988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.19854255556885]
Predicted rank: [0], ambiguousness: [[0.74784464 0.25215536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.32836134385164]
Predicted rank: [0], ambiguousness: [[0.91189307 0.08810695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.24243716794354]
Predicted rank: [0], ambiguousness: [[0.827819 0.172181]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.42714140178627]
Predicted rank: [0], ambiguousness: [[0.9430388  0.05696121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.56266929522914]
Predicted rank: [0], ambiguousness: [[0.8339242  0.16607586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.14803883471473]
Predicted rank: [0], ambiguousness: [[0.6182605 0.3817395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.48321705648283]
Predicted rank: [0], ambiguousness: [[0.8752814  0.12471858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.97432050778767]
Predicted rank: [0], ambiguousness: [[0.8073827  0.19261728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.94856707387852]
Predicted rank: [0], ambiguousness: [[0.8240045  0.17599554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.75656324305847]
Predicted rank: [0], ambiguousness: [[0.61074066 0.38925937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.65321298754674]
Predicted rank: [0], ambiguousness: [[0.5974053  0.40259466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.9700545449908]
Predicted rank: [0], ambiguousness: [[0.8852621  0.11473792]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.42698067769408]
Predicted rank: [0], ambiguousness: [[0.8085467 0.1914533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.31327395640571]
Predicted rank: [0], ambiguousness: [[0.84632194 0.15367809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.23082485159895]
Predicted rank: [0], ambiguousness: [[0.61387134 0.38612866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.77254618708693]
Predicted rank: [0], ambiguousness: [[0.6666697  0.33333024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.55007560841779]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.13404029489084]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.26507554539882]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.20343494350516]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.38878398859418]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.52496776701554]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.10923306165847]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.44646278698497]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.94196555084496]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.92895437545482]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.7544482512273]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.01010426549685]
Predicted rank: [0], ambiguousness: [[0.60114205 0.39885795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.35525252253338]
Predicted rank: [0], ambiguousness: [[0.8751816  0.12481838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.87047788679816]
Predicted rank: [0], ambiguousness: [[0.80590934 0.19409068]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.91999901891118]
Predicted rank: [0], ambiguousness: [[0.82652277 0.17347722]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.66369377874216]
Predicted rank: [0], ambiguousness: [[0.59866357 0.40133646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.16234174346002]
Predicted rank: [0], ambiguousness: [[0.6014886 0.3985114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.29249703888742]
Predicted rank: [0], ambiguousness: [[0.6288885  0.37111154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.62952796438225]
Predicted rank: [0], ambiguousness: [[0.8678256  0.13217436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.12916658464565]
Predicted rank: [0], ambiguousness: [[0.80765575 0.19234425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.13816767311076]
Predicted rank: [0], ambiguousness: [[0.8112682  0.18873177]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.9473712936348]
Predicted rank: [0], ambiguousness: [[0.6215936  0.37840644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.8200338399726]
Predicted rank: [0], ambiguousness: [[0.59737444 0.40262553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.65573327176125]
Predicted rank: [0], ambiguousness: [[0.8356652  0.16433474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.87443082622636]
Predicted rank: [0], ambiguousness: [[0.83243304 0.16756694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.10132327568465]
Predicted rank: [0], ambiguousness: [[0.7645743  0.23542571]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.23854937443413]
Predicted rank: [0], ambiguousness: [[0.8069583  0.19304165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.43800554549838]
Predicted rank: [0], ambiguousness: [[0.58013546 0.4198645 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.30252344989273]
Predicted rank: [0], ambiguousness: [[0.83212113 0.16787888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.77081907199961]
Predicted rank: [0], ambiguousness: [[0.8323722  0.16762781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.40805797105813]
Predicted rank: [0], ambiguousness: [[0.8749442  0.12505579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.61572253743135]
Predicted rank: [0], ambiguousness: [[0.90441674 0.09558325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.69264764078792]
Predicted rank: [0], ambiguousness: [[0.7434921 0.2565079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.59351938384113]
Predicted rank: [0], ambiguousness: [[0.8170409 0.1829591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.8375822587371]
Predicted rank: [0], ambiguousness: [[0.84839433 0.15160565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.98324788994844]
Predicted rank: [0], ambiguousness: [[0.7353126 0.2646874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.0404915315398]
Predicted rank: [0], ambiguousness: [[0.7796196  0.22038043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.20337349987565]
Predicted rank: [0], ambiguousness: [[0.66046095 0.33953905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.29934291295729]
Predicted rank: [0], ambiguousness: [[0.65314233 0.34685764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.34085084343286]
Predicted rank: [0], ambiguousness: [[0.82055634 0.17944366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.61088078485508]
Predicted rank: [0], ambiguousness: [[0.8476713  0.15232871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.49658308865664]
Predicted rank: [0], ambiguousness: [[0.8277187  0.17228132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.31595770834895]
Predicted rank: [0], ambiguousness: [[0.864059 0.135941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.53390369815881]
Predicted rank: [0], ambiguousness: [[0.8978268  0.10217322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.59946256054481]
Predicted rank: [0], ambiguousness: [[0.71215653 0.2878435 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.50986645143345]
Predicted rank: [0], ambiguousness: [[0.7500353  0.24996468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.91385162939577]
Predicted rank: [0], ambiguousness: [[0.8287045  0.17129551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.89189872369255]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.48808849770144]
Predicted rank: [0], ambiguousness: [[0.875069   0.12493097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.52722791216405]
Predicted rank: [0], ambiguousness: [[0.79341394 0.20658605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.6879473560414]
Predicted rank: [0], ambiguousness: [[0.8067384  0.19326164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.7512382792113]
Predicted rank: [0], ambiguousness: [[0.89945877 0.10054123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.56950395625739]
Predicted rank: [0], ambiguousness: [[0.7949059  0.20509413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.66078125662233]
Predicted rank: [0], ambiguousness: [[0.689098 0.310902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.881242233277]
Predicted rank: [0], ambiguousness: [[0.7433214 0.2566786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.94213677216455]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.04772950375374]
Predicted rank: [0], ambiguousness: [[0.6421366  0.35786346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.15460979598893]
Predicted rank: [0], ambiguousness: [[0.8712226 0.1287774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.20853102016952]
Predicted rank: [0], ambiguousness: [[0.6628291 0.3371709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.19453312210634]
Predicted rank: [0], ambiguousness: [[0.8276206  0.17237934]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.68453742384503]
Predicted rank: [0], ambiguousness: [[0.82747746 0.17252257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.32430067696984]
Predicted rank: [0], ambiguousness: [[0.8714143  0.12858567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.53223476912335]
Predicted rank: [0], ambiguousness: [[0.90527326 0.09472672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.60872885349823]
Predicted rank: [0], ambiguousness: [[0.7457502  0.25424984]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.51610322826056]
Predicted rank: [0], ambiguousness: [[0.81179965 0.18820035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.76016610315656]
Predicted rank: [0], ambiguousness: [[0.8493111  0.15068886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.9058317343679]
Predicted rank: [0], ambiguousness: [[0.7370746  0.26292542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.96307537595925]
Predicted rank: [0], ambiguousness: [[0.7923544 0.2076456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.1259573442951]
Predicted rank: [0], ambiguousness: [[0.6624925  0.33750752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.22192675737672]
Predicted rank: [0], ambiguousness: [[0.6645816 0.3354184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.26343468785228]
Predicted rank: [0], ambiguousness: [[0.81539303 0.18460695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.20782770345511]
Predicted rank: [0], ambiguousness: [[0.8254224  0.17457761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.01758165871429]
Predicted rank: [0], ambiguousness: [[0.8274151 0.1725849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.94487974989674]
Predicted rank: [0], ambiguousness: [[0.86380893 0.13619107]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.17262028976691]
Predicted rank: [0], ambiguousness: [[0.8981285  0.10187151]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.22313908428643]
Predicted rank: [0], ambiguousness: [[0.73238033 0.26761967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.19184723748225]
Predicted rank: [0], ambiguousness: [[0.7496363  0.25036374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.61149685050701]
Predicted rank: [0], ambiguousness: [[0.8291715  0.17082852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.57524766765323]
Predicted rank: [0], ambiguousness: [[0.72842175 0.27157825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.22271715257747]
Predicted rank: [0], ambiguousness: [[0.883319   0.11668095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.25182886919906]
Predicted rank: [0], ambiguousness: [[0.8085786 0.1914214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.41782853113719]
Predicted rank: [0], ambiguousness: [[0.82855904 0.17144094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.48283347571936]
Predicted rank: [0], ambiguousness: [[0.90350145 0.09649857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.416735030176]
Predicted rank: [0], ambiguousness: [[0.7954422  0.20455775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.50609033166441]
Predicted rank: [0], ambiguousness: [[0.7007468  0.29925323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.72820810829197]
Predicted rank: [0], ambiguousness: [[0.74908453 0.25091547]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.78942772192562]
Predicted rank: [0], ambiguousness: [[0.8942973  0.10570269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.8961603488001]
Predicted rank: [0], ambiguousness: [[0.65684557 0.34315443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.00354955509604]
Predicted rank: [0], ambiguousness: [[0.86659855 0.13340145]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.0580154055321]
Predicted rank: [0], ambiguousness: [[0.6556257 0.3443743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.4129073697568]
Predicted rank: [0], ambiguousness: [[0.81544495 0.18455504]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.26568802254486]
Predicted rank: [0], ambiguousness: [[0.9057867  0.09421332]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.48419599147121]
Predicted rank: [0], ambiguousness: [[0.8984473  0.10155274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.54905348512489]
Predicted rank: [0], ambiguousness: [[0.726416   0.27358398]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.83687666445645]
Predicted rank: [0], ambiguousness: [[0.73511446 0.26488554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.32673875092303]
Predicted rank: [0], ambiguousness: [[0.8173359  0.18266411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.25666172672466]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.1243562778117]
Predicted rank: [0], ambiguousness: [[0.8636215  0.13637856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14087769199034]
Predicted rank: [0], ambiguousness: [[0.77639616 0.22360384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.31779036509027]
Predicted rank: [0], ambiguousness: [[0.7950321  0.20496793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.3860438656603]
Predicted rank: [0], ambiguousness: [[0.8938824  0.10611763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.25436598250008]
Predicted rank: [0], ambiguousness: [[0.7134186 0.2865814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.14659478004336]
Predicted rank: [0], ambiguousness: [[0.58739257 0.4126074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.54369717941827]
Predicted rank: [0], ambiguousness: [[0.7064185 0.2935815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.64614328511428]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.12280920118485]
Predicted rank: [0], ambiguousness: [[0.78666174 0.21333824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.2849985665512]
Predicted rank: [0], ambiguousness: [[0.9247053  0.07529466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.39590259140002]
Predicted rank: [0], ambiguousness: [[0.81121004 0.18878996]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.26905378698595]
Predicted rank: [0], ambiguousness: [[0.63926196 0.36073804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.42907144829485]
Predicted rank: [0], ambiguousness: [[0.8863878  0.11361217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.60630932580487]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75500182283825]
Predicted rank: [0], ambiguousness: [[0.6442983 0.3557017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.07218376334262]
Predicted rank: [0], ambiguousness: [[0.78295964 0.21704037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.88877486622809]
Predicted rank: [0], ambiguousness: [[0.8038622  0.19613777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.83580161279198]
Predicted rank: [0], ambiguousness: [[0.83492637 0.16507366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.0648659181338]
Predicted rank: [0], ambiguousness: [[0.87996364 0.12003638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.11359148821771]
Predicted rank: [0], ambiguousness: [[0.72117686 0.2788231 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.10503466040679]
Predicted rank: [0], ambiguousness: [[0.7190727 0.2809273]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.52568925282003]
Predicted rank: [0], ambiguousness: [[0.8122636 0.1877364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.48867395459688]
Predicted rank: [0], ambiguousness: [[0.7320384  0.26796165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.13946405319948]
Predicted rank: [0], ambiguousness: [[0.87082887 0.12917113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.16810223822846]
Predicted rank: [0], ambiguousness: [[0.79969263 0.2003074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33437554265865]
Predicted rank: [0], ambiguousness: [[0.8264751  0.17352492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.39946606638235]
Predicted rank: [0], ambiguousness: [[0.8978006  0.10219939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.3399950149495]
Predicted rank: [0], ambiguousness: [[0.7760974  0.22390257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.4293503164379]
Predicted rank: [0], ambiguousness: [[0.70458245 0.29541755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.65146809306546]
Predicted rank: [0], ambiguousness: [[0.76022637 0.23977366]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.7126877066991]
Predicted rank: [0], ambiguousness: [[0.89533806 0.10466193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.81942033357359]
Predicted rank: [0], ambiguousness: [[0.685256   0.31474403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92680953986954]
Predicted rank: [0], ambiguousness: [[0.86787176 0.13212821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.9812753903056]
Predicted rank: [0], ambiguousness: [[0.6503209  0.34967908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.85643097647232]
Predicted rank: [0], ambiguousness: [[0.7965192 0.2034808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.84934084040054]
Predicted rank: [0], ambiguousness: [[0.84387606 0.15612392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.07820621060056]
Predicted rank: [0], ambiguousness: [[0.8694502  0.13054977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.12732182255428]
Predicted rank: [0], ambiguousness: [[0.6939589 0.3060411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.30798096126568]
Predicted rank: [0], ambiguousness: [[0.71898454 0.28101546]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.84044912828197]
Predicted rank: [0], ambiguousness: [[0.80573374 0.19426626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.74132395719704]
Predicted rank: [0], ambiguousness: [[0.723282   0.27671802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.7476180775242]
Predicted rank: [0], ambiguousness: [[0.84962624 0.15037374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.74765997524065]
Predicted rank: [0], ambiguousness: [[0.7814938  0.21850625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.93453658884815]
Predicted rank: [0], ambiguousness: [[0.8079053  0.19209467]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.00597951286535]
Predicted rank: [0], ambiguousness: [[0.8954288 0.1045712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.92990574216887]
Predicted rank: [0], ambiguousness: [[0.6976575  0.30234247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.80501097432958]
Predicted rank: [0], ambiguousness: [[0.6131066  0.38689336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.21968708202907]
Predicted rank: [0], ambiguousness: [[0.7232673 0.2767327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.32572140177533]
Predicted rank: [0], ambiguousness: [[0.89529717 0.10470282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.84037758684886]
Predicted rank: [0], ambiguousness: [[0.8115718  0.18842822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.00687398199028]
Predicted rank: [0], ambiguousness: [[0.92544895 0.07455104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.12241886715927]
Predicted rank: [0], ambiguousness: [[0.82032126 0.17967875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.11342970030022]
Predicted rank: [0], ambiguousness: [[0.65809953 0.34190044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.27437713451395]
Predicted rank: [0], ambiguousness: [[0.8911419 0.1088581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.45320121492296]
Predicted rank: [0], ambiguousness: [[0.77610385 0.22389616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.60332661352888]
Predicted rank: [0], ambiguousness: [[0.6571039  0.34289613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.74084286549805]
Predicted rank: [0], ambiguousness: [[0.72884953 0.2711505 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.24224109184021]
Predicted rank: [0], ambiguousness: [[0.79672056 0.20327944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.16754914476738]
Predicted rank: [0], ambiguousness: [[0.70733595 0.29266402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.07436509150043]
Predicted rank: [0], ambiguousness: [[0.870539 0.129461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.09013430929086]
Predicted rank: [0], ambiguousness: [[0.83135414 0.16864587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.26761646974288]
Predicted rank: [0], ambiguousness: [[0.79696226 0.20303774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.33608148316537]
Predicted rank: [0], ambiguousness: [[0.90448874 0.09551128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.54842423835149]
Predicted rank: [0], ambiguousness: [[0.6868111  0.31318888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.37906638240469]
Predicted rank: [0], ambiguousness: [[0.58851194 0.41148803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.87741640869591]
Predicted rank: [0], ambiguousness: [[0.7073758  0.29262418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.99538956404731]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.71551506036126]
Predicted rank: [0], ambiguousness: [[0.77015436 0.22984563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.89085169954612]
Predicted rank: [0], ambiguousness: [[0.9204723 0.0795277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.01650497906216]
Predicted rank: [0], ambiguousness: [[0.8008402  0.19915982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.57818668196477]
Predicted rank: [0], ambiguousness: [[0.55283844 0.44716159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.84119106481877]
Predicted rank: [0], ambiguousness: [[0.84951466 0.15048535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.18362976263117]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.75556791705813]
Predicted rank: [0], ambiguousness: [[0.7740398 0.2259602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91611075401508]
Predicted rank: [0], ambiguousness: [[0.6478311  0.35216892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 106.68474242432472]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.71390733902629]
Predicted rank: [0], ambiguousness: [[0.862482 0.137518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.94432575826372]
Predicted rank: [0], ambiguousness: [[0.88542217 0.11457781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.99136075097712]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.1727718070367]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.71267646389745]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.60927886175452]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.63997599059942]
Predicted rank: [0], ambiguousness: [[0.88624173 0.11375827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.63805164524807]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.82629404862611]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.89817183517411]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.8449529167209]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.71911641986847]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.13494388751086]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.2411880057982]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.7585530775185]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.92526781444218]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.04105654283453]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.03897452416474]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.19992195837848]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.37874603878748]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.5288714373934]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.12358083700653]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.67863436268335]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.57041437040039]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.65356871090056]
Predicted rank: [0], ambiguousness: [[0.8811758  0.11882417]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.65210549347971]
Predicted rank: [0], ambiguousness: [[0.7991351  0.20086491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.84012223895022]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.91198817894187]
Predicted rank: [0], ambiguousness: [[0.90166396 0.09833606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.00421717241107]
Predicted rank: [0], ambiguousness: [[0.72540426 0.27459574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.79873906620153]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.34645941802334]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.47288404844693]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.31048817355031]
Predicted rank: [0], ambiguousness: [[0.8143762  0.18562382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.49405854772218]
Predicted rank: [0], ambiguousness: [[0.924197   0.07580297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.62860237705607]
Predicted rank: [0], ambiguousness: [[0.8266979  0.17330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.22301804421919]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.49537252672229]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.85460130109533]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.46951206868974]
Predicted rank: [0], ambiguousness: [[0.81404674 0.18595327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.76157626603714]
Predicted rank: [0], ambiguousness: [[0.65179515 0.34820482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.45064677711433]
Predicted rank: [0], ambiguousness: [[0.70988464 0.29011533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.27491050579476]
Predicted rank: [0], ambiguousness: [[0.6151537  0.38484633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.78720598323036]
Predicted rank: [0], ambiguousness: [[0.7095789 0.2904211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.9069151228178]
Predicted rank: [0], ambiguousness: [[0.8924065  0.10759348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.6661671713542]
Predicted rank: [0], ambiguousness: [[0.8266811  0.17331892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.84207893981812]
Predicted rank: [0], ambiguousness: [[0.9425361 0.0574639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.96823222506202]
Predicted rank: [0], ambiguousness: [[0.82755053 0.17244944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.73804103166165]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.04895862466196]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.49181975353147]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.33494806256795]
Predicted rank: [0], ambiguousness: [[0.7859113 0.2140887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.09444786409188]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 105.9429564530756]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 106.51124641038294]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.39654898147555]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.5233532154414]
Predicted rank: [0], ambiguousness: [[0.8651951  0.13480489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.5196183149857]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.70923099497944]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.78161840298341]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.87230128299689]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.66136477434752]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.21781645959425]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.34561575988246]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.20518468549659]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.38990347221673]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.52567924176108]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.14234053674457]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.41526793942036]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.77561389753842]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.39356031956763]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.69327891586622]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.81793544421026]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.59989956290616]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.17490826811309]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.3047480050354]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.21917210883893]
Predicted rank: [0], ambiguousness: [[0.8084643 0.1915357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.40389257206053]
Predicted rank: [0], ambiguousness: [[0.93222666 0.06777333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.5394377940095]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.12451680248054]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.45974128086709]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.95093852829336]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.92544334974514]
Predicted rank: [0], ambiguousness: [[0.80432236 0.19567764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.73357938929925]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.63092845113913]
Predicted rank: [0], ambiguousness: [[0.5474328 0.4525672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.9477700085832]
Predicted rank: [0], ambiguousness: [[0.85615647 0.14384355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.40469614128648]
Predicted rank: [0], ambiguousness: [[0.7749076  0.22509244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.2909894199981]
Predicted rank: [0], ambiguousness: [[0.82629824 0.1737018 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.20854031519136]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 105.65396789233591]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.42774952950447]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.01788291724489]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.14984703872403]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.1039114574522]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.28995841681719]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.42687744326525]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.00050010658333]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.3396941231243]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.83917108148367]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.8371135503146]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.669590447732]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.92294963075614]
Predicted rank: [0], ambiguousness: [[0.5546409 0.4453591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.26971390010907]
Predicted rank: [0], ambiguousness: [[0.8457491  0.15425093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.78828586111175]
Predicted rank: [0], ambiguousness: [[0.77431875 0.22568125]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.8471527546627]
Predicted rank: [0], ambiguousness: [[0.8070782  0.19292183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.58174680460307]
Predicted rank: [0], ambiguousness: [[0.5629747 0.4370253]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.1086940018465]
Predicted rank: [0], ambiguousness: [[0.55681276 0.44318727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 103.84323223297866]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.19400742582684]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 104.72170600468635]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.8074369361699]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.5407636000447]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.43383300851136]
Predicted rank: [0], ambiguousness: [[0.56064916 0.43935087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.72587015014008]
Predicted rank: [0], ambiguousness: [[0.5634068  0.43659315]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.87282888164185]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.86341289754522]
Predicted rank: [0], ambiguousness: [[0.7281376 0.2718624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.59944511424906]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.74807053309446]
Predicted rank: [0], ambiguousness: [[0.6693505  0.33064947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.84181265406991]
Predicted rank: [0], ambiguousness: [[0.6668304 0.3331696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.26470016352832]
Predicted rank: [0], ambiguousness: [[0.5552836 0.4447164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.79799240113084]
Predicted rank: [0], ambiguousness: [[0.7076409  0.29235908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.39852585563068]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.78001388545417]
Predicted rank: [0], ambiguousness: [[0.79906166 0.20093837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.91488601556526]
Predicted rank: [0], ambiguousness: [[0.81530696 0.18469304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.26741754736291]
Predicted rank: [0], ambiguousness: [[0.6965472 0.3034528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.43595423524792]
Predicted rank: [0], ambiguousness: [[0.6976528  0.30234718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.59999686071768]
Predicted rank: [0], ambiguousness: [[0.7440678  0.25593224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.98819863597677]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.73094546026852]
Predicted rank: [0], ambiguousness: [[0.66410184 0.33589816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.12986477649844]
Predicted rank: [0], ambiguousness: [[0.62672293 0.37327707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.19321283270443]
Predicted rank: [0], ambiguousness: [[0.62486124 0.37513873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.2210037469607]
Predicted rank: [0], ambiguousness: [[0.8173424  0.18265758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.8224391595505]
Predicted rank: [0], ambiguousness: [[0.7620651 0.2379349]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.56136112257218]
Predicted rank: [0], ambiguousness: [[0.7562446 0.2437554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.70998654141758]
Predicted rank: [0], ambiguousness: [[0.707089 0.292911]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.80372866239304]
Predicted rank: [0], ambiguousness: [[0.7133578 0.2866422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.22661617185145]
Predicted rank: [0], ambiguousness: [[0.6086958 0.3913042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.60735654578332]
Predicted rank: [0], ambiguousness: [[0.7573945  0.24260552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.23943216780819]
Predicted rank: [0], ambiguousness: [[0.7561642  0.24383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.6402215780578]
Predicted rank: [0], ambiguousness: [[0.83606726 0.16393276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.77786163941812]
Predicted rank: [0], ambiguousness: [[0.85631377 0.14368622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.12567385244512]
Predicted rank: [0], ambiguousness: [[0.7654334  0.23456661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.35389084535711]
Predicted rank: [0], ambiguousness: [[0.73976296 0.26023704]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.51872220706727]
Predicted rank: [0], ambiguousness: [[0.77752346 0.22247654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.9060523294055]
Predicted rank: [0], ambiguousness: [[0.7577255 0.2422745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.65046079800817]
Predicted rank: [0], ambiguousness: [[0.7109263  0.28907374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.0485928574672]
Predicted rank: [0], ambiguousness: [[0.68650985 0.31349012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.11227567326543]
Predicted rank: [0], ambiguousness: [[0.6794802  0.32051978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.14017900059702]
Predicted rank: [0], ambiguousness: [[0.83734775 0.16265227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.76865427775013]
Predicted rank: [0], ambiguousness: [[0.7699913  0.23000874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05414132033232]
Predicted rank: [0], ambiguousness: [[0.75560135 0.24439867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.56630544898884]
Predicted rank: [0], ambiguousness: [[0.8224846  0.17751536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.71046135608056]
Predicted rank: [0], ambiguousness: [[0.84092385 0.15907615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.05097549251056]
Predicted rank: [0], ambiguousness: [[0.7358258  0.26417425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.02684279234182]
Predicted rank: [0], ambiguousness: [[0.6563591 0.3436409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.29166480522875]
Predicted rank: [0], ambiguousness: [[0.7568787  0.24312134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.57543840595324]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.65481070658312]
Predicted rank: [0], ambiguousness: [[0.8310946  0.16890539]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.9763269134315]
Predicted rank: [0], ambiguousness: [[0.8121638  0.18783623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.08086885081198]
Predicted rank: [0], ambiguousness: [[0.8245463  0.17545371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.12253018624094]
Predicted rank: [0], ambiguousness: [[0.9096796  0.09032042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.31291693462164]
Predicted rank: [0], ambiguousness: [[0.7039286  0.29607138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.66366008461216]
Predicted rank: [0], ambiguousness: [[0.71390164 0.2860984 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.81011479452755]
Predicted rank: [0], ambiguousness: [[0.7652726 0.2347274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.85110165589285]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.91537057147886]
Predicted rank: [0], ambiguousness: [[0.6688865  0.33111352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.98824068159927]
Predicted rank: [0], ambiguousness: [[0.8839435  0.11605652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.02227380445439]
Predicted rank: [0], ambiguousness: [[0.688782   0.31121802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.5546888899508]
Predicted rank: [0], ambiguousness: [[0.7697875 0.2302125]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.19727331723877]
Predicted rank: [0], ambiguousness: [[0.78163385 0.21836618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.59927771569448]
Predicted rank: [0], ambiguousness: [[0.8452625  0.15473749]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.73704737391057]
Predicted rank: [0], ambiguousness: [[0.8693808  0.13061921]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.0846561075602]
Predicted rank: [0], ambiguousness: [[0.78501236 0.2149876 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31601174425606]
Predicted rank: [0], ambiguousness: [[0.76641667 0.23358336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.48084310596622]
Predicted rank: [0], ambiguousness: [[0.8079226 0.1920774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.86817322830444]
Predicted rank: [0], ambiguousness: [[0.79041886 0.2095811 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.61258169690711]
Predicted rank: [0], ambiguousness: [[0.76019377 0.23980623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.01071375636614]
Predicted rank: [0], ambiguousness: [[0.72532976 0.27467027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.07439657216436]
Predicted rank: [0], ambiguousness: [[0.72719    0.27280998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.10229989949596]
Predicted rank: [0], ambiguousness: [[0.8601509  0.13984911]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.55415631359472]
Predicted rank: [0], ambiguousness: [[0.77351826 0.22648174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.80040986525586]
Predicted rank: [0], ambiguousness: [[0.7882198  0.21178022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.36896711680708]
Predicted rank: [0], ambiguousness: [[0.8417276  0.15827236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.51824267512373]
Predicted rank: [0], ambiguousness: [[0.86463195 0.13536803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.85103567090066]
Predicted rank: [0], ambiguousness: [[0.77992517 0.22007483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.85788665905864]
Predicted rank: [0], ambiguousness: [[0.70319617 0.2968038 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.13089775186214]
Predicted rank: [0], ambiguousness: [[0.7902739  0.20972607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.4073221530841]
Predicted rank: [0], ambiguousness: [[0.78963304 0.210367  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.51340467084307]
Predicted rank: [0], ambiguousness: [[0.86494714 0.13505284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.82976760797217]
Predicted rank: [0], ambiguousness: [[0.845443   0.15455702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.9370768854588]
Predicted rank: [0], ambiguousness: [[0.8622312 0.1377688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.97963668219336]
Predicted rank: [0], ambiguousness: [[0.9261989  0.07380108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.2306740603513]
Predicted rank: [0], ambiguousness: [[0.74211895 0.25788102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.58042030586196]
Predicted rank: [0], ambiguousness: [[0.7661935  0.23380648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.72775044914029]
Predicted rank: [0], ambiguousness: [[0.8068733  0.19312665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.76890938440181]
Predicted rank: [0], ambiguousness: [[0.9245587  0.07544129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.83378664755949]
Predicted rank: [0], ambiguousness: [[0.7281691  0.27183095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.90692520597747]
Predicted rank: [0], ambiguousness: [[0.903938   0.09606203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.94124723567876]
Predicted rank: [0], ambiguousness: [[0.7270974 0.2729026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.00537529969685]
Predicted rank: [0], ambiguousness: [[0.7867577  0.21324226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.53673241204055]
Predicted rank: [0], ambiguousness: [[0.887113   0.11288702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.6812139230291]
Predicted rank: [0], ambiguousness: [[0.8646954  0.13530457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.0213304014089]
Predicted rank: [0], ambiguousness: [[0.78210354 0.21789648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.62310807375388]
Predicted rank: [0], ambiguousness: [[0.69626516 0.30373484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.93906586348112]
Predicted rank: [0], ambiguousness: [[0.7888665  0.21113347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.19473056281902]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.4355040528551]
Predicted rank: [0], ambiguousness: [[0.8423095  0.15769054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.74381909023666]
Predicted rank: [0], ambiguousness: [[0.8243699  0.17563006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.85801576347808]
Predicted rank: [0], ambiguousness: [[0.83983237 0.16016762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.90262976117215]
Predicted rank: [0], ambiguousness: [[0.921792   0.07820801]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.8541285128734]
Predicted rank: [0], ambiguousness: [[0.66460943 0.33539054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.08247931146306]
Predicted rank: [0], ambiguousness: [[0.67529595 0.32470402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.33897507099087]
Predicted rank: [0], ambiguousness: [[0.77852523 0.22147475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.40601542045309]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.70057770985858]
Predicted rank: [0], ambiguousness: [[0.8329071  0.16709293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80819149182997]
Predicted rank: [0], ambiguousness: [[0.9450071  0.05499294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.87818623845396]
Predicted rank: [0], ambiguousness: [[0.8531276  0.14687242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.39251852925179]
Predicted rank: [0], ambiguousness: [[0.7213569  0.27864307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.50073791421754]
Predicted rank: [0], ambiguousness: [[0.9218587  0.07814128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.61659137006788]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.70901542187863]
Predicted rank: [0], ambiguousness: [[0.7257389  0.27426112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.48828715588384]
Predicted rank: [0], ambiguousness: [[0.7711465  0.22885354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.73824302966933]
Predicted rank: [0], ambiguousness: [[0.7849901  0.21500994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31620756906517]
Predicted rank: [0], ambiguousness: [[0.8517341 0.1482659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.46611463997397]
Predicted rank: [0], ambiguousness: [[0.8762384  0.12376162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.79806829868775]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81589766978487]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.08939127962026]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.36545445073773]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.47312777262081]
Predicted rank: [0], ambiguousness: [[0.88376284 0.11623717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.78926767679076]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.89670849258023]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.93930942037039]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.19354469518001]
Predicted rank: [0], ambiguousness: [[0.7464175  0.25358245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.54329094069065]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.69062108396898]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.73178001923051]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.79665728238817]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.86979584080615]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.90411787050746]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.71134491642329]
Predicted rank: [0], ambiguousness: [[0.784401   0.21559899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31568388473016]
Predicted rank: [0], ambiguousness: [[0.86142504 0.13857497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.4655760406161]
Predicted rank: [0], ambiguousness: [[0.861512 0.138488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.79761627135747]
Predicted rank: [0], ambiguousness: [[0.77747697 0.22252305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.34374554980664]
Predicted rank: [0], ambiguousness: [[0.7024238  0.29757616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.68191653737694]
Predicted rank: [0], ambiguousness: [[0.7869939  0.21300606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.92270239395069]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23560009185144]
Predicted rank: [0], ambiguousness: [[0.8643526  0.13564742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.53547661888675]
Predicted rank: [0], ambiguousness: [[0.8468618 0.1531382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.65487931229956]
Predicted rank: [0], ambiguousness: [[0.8648629  0.13513708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.70115863681237]
Predicted rank: [0], ambiguousness: [[0.9262735  0.07372648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.6821910060674]
Predicted rank: [0], ambiguousness: [[0.6621068 0.3378932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.90176288793535]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.1674304391621]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.23634788009079]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.55075711142104]
Predicted rank: [0], ambiguousness: [[0.86762035 0.13237967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.66061978501804]
Predicted rank: [0], ambiguousness: [[0.95060796 0.04939207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.73305109933173]
Predicted rank: [0], ambiguousness: [[0.8739525  0.12604746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.30918292714853]
Predicted rank: [0], ambiguousness: [[0.7304828 0.2695172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.41789238442395]
Predicted rank: [0], ambiguousness: [[0.921535   0.07846497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.5345844315961]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.6277721709924]
Predicted rank: [0], ambiguousness: [[0.72922003 0.27077994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.5676280061268]
Predicted rank: [0], ambiguousness: [[0.7151919 0.2848081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.89018765768083]
Predicted rank: [0], ambiguousness: [[0.7846111 0.2153889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.14325737783182]
Predicted rank: [0], ambiguousness: [[0.7750802  0.22491978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.4064504863296]
Predicted rank: [0], ambiguousness: [[0.8800164 0.1199836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.71434079591782]
Predicted rank: [0], ambiguousness: [[0.8852957  0.11470431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.82886737922775]
Predicted rank: [0], ambiguousness: [[0.858118 0.141882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.87360340447988]
Predicted rank: [0], ambiguousness: [[0.9336404  0.06635956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.43108328355326]
Predicted rank: [0], ambiguousness: [[0.6602092  0.33979082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.62360128920898]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.94025627141833]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.01652850797129]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.45603130304812]
Predicted rank: [0], ambiguousness: [[0.83774066 0.16225931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.5714426561926]
Predicted rank: [0], ambiguousness: [[0.94783676 0.05216326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.65024367526365]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.70170446650144]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.87419898661395]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.09296359318395]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.44813041879033]
Predicted rank: [0], ambiguousness: [[0.8404543  0.15954572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.14652197289658]
Predicted rank: [0], ambiguousness: [[0.72357786 0.27642217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.62957332835381]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.25113598103866]
Predicted rank: [0], ambiguousness: [[0.8526801  0.14731994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.40176766444722]
Predicted rank: [0], ambiguousness: [[0.8527716  0.14722842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.7328360830904]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.27974900901239]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.62145508449584]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.86024728266779]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.18473078580215]
Predicted rank: [0], ambiguousness: [[0.877134 0.122866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.48369032630015]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.6037438132599]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.65022995092964]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.64228368270894]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.8614129721731]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.12763209436639]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.19665022002093]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.51236016566676]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.62232735528391]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.69487602887335]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.27433783499006]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.38304729226549]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.49973933943765]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.59292707883394]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.2430297949144]
Predicted rank: [0], ambiguousness: [[0.6954826  0.30451742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.59347497216223]
Predicted rank: [0], ambiguousness: [[0.7855705  0.21442947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.829409169754]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.18411434567197]
Predicted rank: [0], ambiguousness: [[0.86650014 0.13349983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.48318675513998]
Predicted rank: [0], ambiguousness: [[0.8500848 0.1499152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.6032143218599]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64972458116056]
Predicted rank: [0], ambiguousness: [[0.9278579  0.07214215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.14475839924287]
Predicted rank: [0], ambiguousness: [[0.6621068 0.3378932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.31883785023966]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.66118023737167]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.74185781305212]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.24261187122491]
Predicted rank: [0], ambiguousness: [[0.8602165 0.1397835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.3623069714748]
Predicted rank: [0], ambiguousness: [[0.94756496 0.05243501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.44576041266266]
Predicted rank: [0], ambiguousness: [[0.86998117 0.13001883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.51497467519569]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.69234262593805]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.9198739540005]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.29748288732515]
Predicted rank: [0], ambiguousness: [[0.8599545  0.14004555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.06479453334096]
Predicted rank: [0], ambiguousness: [[0.72418743 0.27581257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.37552511962915]
Predicted rank: [0], ambiguousness: [[0.65158904 0.348411  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.56447439543068]
Predicted rank: [0], ambiguousness: [[0.6949569  0.30504307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.88908895869933]
Predicted rank: [0], ambiguousness: [[0.77412105 0.22587897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.9663551154861]
Predicted rank: [0], ambiguousness: [[0.9208499 0.0791501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.42827594967964]
Predicted rank: [0], ambiguousness: [[0.86996794 0.13003209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.5440181891286]
Predicted rank: [0], ambiguousness: [[0.9604923  0.03950767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6231095214591]
Predicted rank: [0], ambiguousness: [[0.87065417 0.12934582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.20077018833393]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.40166804871008]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.68011284513905]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.19662647837077]
Predicted rank: [0], ambiguousness: [[0.8373774  0.16262259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.3754670721226]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.16277089760311]
Predicted rank: [0], ambiguousness: [[0.6795439 0.3204561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.51928663685054]
Predicted rank: [0], ambiguousness: [[0.77280676 0.22719322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.75230581901764]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.12701827021968]
Predicted rank: [0], ambiguousness: [[0.84888417 0.15111583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.42506839639252]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.54583055371975]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.59258025346148]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.08731896770436]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.25894386535168]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.605295071364]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.68660444839557]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.19746651336465]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.31768808415472]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.4017100980358]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.48134125384559]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.65897255590136]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.88701887372082]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.2660299486375]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.03688280764541]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.04585431307213]
Predicted rank: [0], ambiguousness: [[0.65817404 0.341826  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.21329868961462]
Predicted rank: [0], ambiguousness: [[0.6724926 0.3275074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.57038056547938]
Predicted rank: [0], ambiguousness: [[0.7735307  0.22646926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.65290556847512]
Predicted rank: [0], ambiguousness: [[0.9225978  0.07740218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.19530787154329]
Predicted rank: [0], ambiguousness: [[0.8547304  0.14526959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.31562288881508]
Predicted rank: [0], ambiguousness: [[0.9529649 0.0470351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.39961969532038]
Predicted rank: [0], ambiguousness: [[0.8600427  0.13995731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.8817413567916]
Predicted rank: [0], ambiguousness: [[0.65098643 0.3490136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.0952457764592]
Predicted rank: [0], ambiguousness: [[0.8898973  0.11010269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.39880958218143]
Predicted rank: [0], ambiguousness: [[0.82839566 0.17160434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.98368389322735]
Predicted rank: [0], ambiguousness: [[0.8514051  0.14859493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.18851668699905]
Predicted rank: [0], ambiguousness: [[0.6437398 0.3562602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.14210486119504]
Predicted rank: [0], ambiguousness: [[0.6308516  0.36914834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.34637863589313]
Predicted rank: [0], ambiguousness: [[0.8988435  0.10115647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.63284999215705]
Predicted rank: [0], ambiguousness: [[0.8294595  0.17054053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.17407795862411]
Predicted rank: [0], ambiguousness: [[0.87079275 0.12920724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.84962777960442]
Predicted rank: [0], ambiguousness: [[0.64675856 0.35324144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.00533316395747]
Predicted rank: [0], ambiguousness: [[0.643371   0.35662898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.17046059490497]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.53222478089003]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.6153830245157]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.17027665764908]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.2909389035585]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.37529308983895]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.85662928226486]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.07122448027886]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.37711900155007]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.96872210023008]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.18243235299994]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.79517390798148]
Predicted rank: [0], ambiguousness: [[0.6344679 0.3655321]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.01427126039346]
Predicted rank: [0], ambiguousness: [[0.8898077  0.11019228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.33132044632566]
Predicted rank: [0], ambiguousness: [[0.82704854 0.17295144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.95826378735174]
Predicted rank: [0], ambiguousness: [[0.853601   0.14639902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.54293807493187]
Predicted rank: [0], ambiguousness: [[0.6320697  0.36793032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.80215722236888]
Predicted rank: [0], ambiguousness: [[0.63480306 0.36519697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.92453064202762]
Predicted rank: [0], ambiguousness: [[0.66120255 0.33879742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.14000243552385]
Predicted rank: [0], ambiguousness: [[0.8831987  0.11680134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.45011934211028]
Predicted rank: [0], ambiguousness: [[0.8286452  0.17135476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.05912016813085]
Predicted rank: [0], ambiguousness: [[0.8402673  0.15973267]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.67401696350498]
Predicted rank: [0], ambiguousness: [[0.6541935  0.34580645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.59870564237625]
Predicted rank: [0], ambiguousness: [[0.63082176 0.36917824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.82239223194225]
Predicted rank: [0], ambiguousness: [[0.76795226 0.23204775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.56131419496393]
Predicted rank: [0], ambiguousness: [[0.7750035 0.2249965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.70993961380933]
Predicted rank: [0], ambiguousness: [[0.7389229 0.2610771]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.80368173478477]
Predicted rank: [0], ambiguousness: [[0.7342574 0.2657426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.22656924424318]
Predicted rank: [0], ambiguousness: [[0.63330376 0.3666962 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.60730961817507]
Predicted rank: [0], ambiguousness: [[0.75870943 0.24129058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.23938524019992]
Predicted rank: [0], ambiguousness: [[0.7684666  0.23153341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.64017465044952]
Predicted rank: [0], ambiguousness: [[0.84767365 0.15232635]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.77781471180985]
Predicted rank: [0], ambiguousness: [[0.8571937  0.14280632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.12562692483685]
Predicted rank: [0], ambiguousness: [[0.76472807 0.23527195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.35384391774886]
Predicted rank: [0], ambiguousness: [[0.7626301  0.23736988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.51867527945902]
Predicted rank: [0], ambiguousness: [[0.7890489  0.21095112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.90600540179722]
Predicted rank: [0], ambiguousness: [[0.76997316 0.23002684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.6504138703999]
Predicted rank: [0], ambiguousness: [[0.72468007 0.2753199 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.04854592985893]
Predicted rank: [0], ambiguousness: [[0.7122361 0.2877639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.11222874565716]
Predicted rank: [0], ambiguousness: [[0.69408643 0.30591357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.14013207298873]
Predicted rank: [0], ambiguousness: [[0.84638625 0.15361376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.76860735014185]
Predicted rank: [0], ambiguousness: [[0.77831453 0.22168545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.05409439272405]
Predicted rank: [0], ambiguousness: [[0.77505225 0.22494774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.56625852138058]
Predicted rank: [0], ambiguousness: [[0.8479723  0.15202776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.71041442847229]
Predicted rank: [0], ambiguousness: [[0.84718966 0.1528103 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.0509285649023]
Predicted rank: [0], ambiguousness: [[0.74497586 0.25502414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.02679586473357]
Predicted rank: [0], ambiguousness: [[0.70958364 0.2904164 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.2916178776205]
Predicted rank: [0], ambiguousness: [[0.776258 0.223742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.57539147834497]
Predicted rank: [0], ambiguousness: [[0.7664675  0.23353247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.65476377897485]
Predicted rank: [0], ambiguousness: [[0.8411161  0.15888394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.97627998582324]
Predicted rank: [0], ambiguousness: [[0.84226584 0.15773413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.08082192320373]
Predicted rank: [0], ambiguousness: [[0.83132786 0.16867213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.12248325863267]
Predicted rank: [0], ambiguousness: [[0.9126352  0.08736478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.31287000701337]
Predicted rank: [0], ambiguousness: [[0.7260007  0.27399927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.6636131570039]
Predicted rank: [0], ambiguousness: [[0.7614528  0.23854718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.81006786691927]
Predicted rank: [0], ambiguousness: [[0.78417367 0.21582632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.8510547282846]
Predicted rank: [0], ambiguousness: [[0.9192945  0.08070555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.91532364387061]
Predicted rank: [0], ambiguousness: [[0.69242954 0.30757046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.988193753991]
Predicted rank: [0], ambiguousness: [[0.9069177 0.0930823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.02222687684613]
Predicted rank: [0], ambiguousness: [[0.71152055 0.28847948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.55443599697239]
Predicted rank: [0], ambiguousness: [[0.76144993 0.23855004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.19702042426036]
Predicted rank: [0], ambiguousness: [[0.77063483 0.22936518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.59902482271607]
Predicted rank: [0], ambiguousness: [[0.8425058  0.15749422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.73679448093216]
Predicted rank: [0], ambiguousness: [[0.86401296 0.13598703]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.08440321458178]
Predicted rank: [0], ambiguousness: [[0.77513885 0.22486113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31575885127765]
Predicted rank: [0], ambiguousness: [[0.75489146 0.24510853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.48059021298782]
Predicted rank: [0], ambiguousness: [[0.7979053  0.20209469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.86792033532603]
Predicted rank: [0], ambiguousness: [[0.77973765 0.22026233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.6123288039287]
Predicted rank: [0], ambiguousness: [[0.7484623  0.25153765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.01046086338773]
Predicted rank: [0], ambiguousness: [[0.71253765 0.28746232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.07414367918597]
Predicted rank: [0], ambiguousness: [[0.7144505  0.28554952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.10204700651755]
Predicted rank: [0], ambiguousness: [[0.8547785 0.1452215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.55390342061632]
Predicted rank: [0], ambiguousness: [[0.75811404 0.24188596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.80015697227745]
Predicted rank: [0], ambiguousness: [[0.77055764 0.22944236]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.36871422382866]
Predicted rank: [0], ambiguousness: [[0.8299427  0.17005727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.51798978214532]
Predicted rank: [0], ambiguousness: [[0.8542572 0.1457428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.85078277792226]
Predicted rank: [0], ambiguousness: [[0.7648243  0.23517574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.85763376608023]
Predicted rank: [0], ambiguousness: [[0.6813102  0.31868982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.13064485888374]
Predicted rank: [0], ambiguousness: [[0.77273375 0.22726625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.4070692601057]
Predicted rank: [0], ambiguousness: [[0.7720547  0.22794536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.51315177786466]
Predicted rank: [0], ambiguousness: [[0.85773766 0.14226231]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.82951471499376]
Predicted rank: [0], ambiguousness: [[0.83738804 0.16261193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.93682399248038]
Predicted rank: [0], ambiguousness: [[0.851704   0.14829601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.97938378921495]
Predicted rank: [0], ambiguousness: [[0.92071176 0.07928826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.2304211673729]
Predicted rank: [0], ambiguousness: [[0.7219683  0.27803168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.58016741288355]
Predicted rank: [0], ambiguousness: [[0.74728346 0.25271657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.72749755616188]
Predicted rank: [0], ambiguousness: [[0.7903531 0.2096469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.76865649142341]
Predicted rank: [0], ambiguousness: [[0.9185307 0.0814693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.83353375458108]
Predicted rank: [0], ambiguousness: [[0.7073582  0.29264182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.90667231299906]
Predicted rank: [0], ambiguousness: [[0.8964469  0.10355314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.94099434270035]
Predicted rank: [0], ambiguousness: [[0.70623755 0.29376242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.00512240671844]
Predicted rank: [0], ambiguousness: [[0.7690095  0.23099056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.53647951906214]
Predicted rank: [0], ambiguousness: [[0.87821853 0.12178148]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.68096103005071]
Predicted rank: [0], ambiguousness: [[0.8543247  0.14567529]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.0210775084305]
Predicted rank: [0], ambiguousness: [[0.7671074  0.23289257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.62285518077547]
Predicted rank: [0], ambiguousness: [[0.6741049 0.3258951]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.93881297050271]
Predicted rank: [0], ambiguousness: [[0.77124274 0.22875728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.19447766984062]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.43525115987669]
Predicted rank: [0], ambiguousness: [[0.83055913 0.16944085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.74356619725825]
Predicted rank: [0], ambiguousness: [[0.8115819  0.18841808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.85776287049967]
Predicted rank: [0], ambiguousness: [[0.82793516 0.17206483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.90237686819376]
Predicted rank: [0], ambiguousness: [[0.91685647 0.08314353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.85387561989498]
Predicted rank: [0], ambiguousness: [[0.6413294  0.35867062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.08222641848465]
Predicted rank: [0], ambiguousness: [[0.65236974 0.3476303 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.33872217801246]
Predicted rank: [0], ambiguousness: [[0.7603005 0.2396995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.40576252747469]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.70032481688018]
Predicted rank: [0], ambiguousness: [[0.8243346  0.17566541]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80793859885156]
Predicted rank: [0], ambiguousness: [[0.9428358  0.05716422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.87793334547555]
Predicted rank: [0], ambiguousness: [[0.8420322  0.15796779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.39226563627338]
Predicted rank: [0], ambiguousness: [[0.70023924 0.29976076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.50048502123911]
Predicted rank: [0], ambiguousness: [[0.9156347  0.08436533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.61633847708947]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.70876252890022]
Predicted rank: [0], ambiguousness: [[0.70481735 0.29518265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.48728407349327]
Predicted rank: [0], ambiguousness: [[0.71412194 0.2858781 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.73723994727877]
Predicted rank: [0], ambiguousness: [[0.75657755 0.24342246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31520448667462]
Predicted rank: [0], ambiguousness: [[0.8073652 0.1926348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.46511155758341]
Predicted rank: [0], ambiguousness: [[0.8399657 0.1600343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.7970652162972]
Predicted rank: [0], ambiguousness: [[0.7447535  0.25524652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81489458739432]
Predicted rank: [0], ambiguousness: [[0.66426146 0.3357385 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.08838819722969]
Predicted rank: [0], ambiguousness: [[0.7664158  0.23358424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.36445136834718]
Predicted rank: [0], ambiguousness: [[0.76606894 0.23393106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.47212469023025]
Predicted rank: [0], ambiguousness: [[0.8525559  0.14744411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.7882645944002]
Predicted rank: [0], ambiguousness: [[0.82206947 0.17793052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.89570541018966]
Predicted rank: [0], ambiguousness: [[0.8430852  0.15691479]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.93830633797981]
Predicted rank: [0], ambiguousness: [[0.90724593 0.09275407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.19254161278943]
Predicted rank: [0], ambiguousness: [[0.71475995 0.28524002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.54228785830009]
Predicted rank: [0], ambiguousness: [[0.7408656  0.25913444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.68961800157841]
Predicted rank: [0], ambiguousness: [[0.7916957  0.20830427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.73077693683994]
Predicted rank: [0], ambiguousness: [[0.9109865  0.08901352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.79565419999761]
Predicted rank: [0], ambiguousness: [[0.72297955 0.27702045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.8687927584156]
Predicted rank: [0], ambiguousness: [[0.88710904 0.11289099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.90311478811688]
Predicted rank: [0], ambiguousness: [[0.68991554 0.3100845 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.71034183403272]
Predicted rank: [0], ambiguousness: [[0.7631398  0.23686022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31468080233958]
Predicted rank: [0], ambiguousness: [[0.8251072 0.1748928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.46457295822552]
Predicted rank: [0], ambiguousness: [[0.82750523 0.17249478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.7966131889669]
Predicted rank: [0], ambiguousness: [[0.72931826 0.27068174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.34274246741607]
Predicted rank: [0], ambiguousness: [[0.672906   0.32709402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.68091345498635]
Predicted rank: [0], ambiguousness: [[0.7659122  0.23408784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.9216993115601]
Predicted rank: [0], ambiguousness: [[0.7652188  0.23478119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23459700946087]
Predicted rank: [0], ambiguousness: [[0.8309064  0.16909361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.5344735364962]
Predicted rank: [0], ambiguousness: [[0.80757976 0.19242024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.65387622990899]
Predicted rank: [0], ambiguousness: [[0.83151805 0.16848196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.7001555544218]
Predicted rank: [0], ambiguousness: [[0.9093249 0.0906751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.68118792367683]
Predicted rank: [0], ambiguousness: [[0.63440657 0.36559346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.90075980554477]
Predicted rank: [0], ambiguousness: [[0.6639836 0.3360164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.16642735677152]
Predicted rank: [0], ambiguousness: [[0.7652057  0.23479433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.23534479770024]
Predicted rank: [0], ambiguousness: [[0.9140999  0.08590011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.54975402903048]
Predicted rank: [0], ambiguousness: [[0.83831775 0.16168222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.65961670262747]
Predicted rank: [0], ambiguousness: [[0.9371634  0.06283657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.73204801694116]
Predicted rank: [0], ambiguousness: [[0.8424419  0.15755807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.30817984475794]
Predicted rank: [0], ambiguousness: [[0.70589805 0.29410195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.41688930203338]
Predicted rank: [0], ambiguousness: [[0.91061634 0.08938367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.53358134920555]
Predicted rank: [0], ambiguousness: [[0.8118123  0.18818773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.62676908860183]
Predicted rank: [0], ambiguousness: [[0.70456666 0.29543334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.56662492373621]
Predicted rank: [0], ambiguousness: [[0.68637514 0.3136249 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.88918457529027]
Predicted rank: [0], ambiguousness: [[0.76336443 0.23663557]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.14225429544125]
Predicted rank: [0], ambiguousness: [[0.7531891  0.24681093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.40544740393905]
Predicted rank: [0], ambiguousness: [[0.84976107 0.15023893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.71333771352727]
Predicted rank: [0], ambiguousness: [[0.85417485 0.14582515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.82786429683716]
Predicted rank: [0], ambiguousness: [[0.8234486  0.17655142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.87260032208931]
Predicted rank: [0], ambiguousness: [[0.91823584 0.08176414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.4300802011627]
Predicted rank: [0], ambiguousness: [[0.6324396  0.36756036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.62259820681841]
Predicted rank: [0], ambiguousness: [[0.64360154 0.35639843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.93925318902777]
Predicted rank: [0], ambiguousness: [[0.75322485 0.24677515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.01552542558072]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.45502822065757]
Predicted rank: [0], ambiguousness: [[0.7992568  0.20074317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.57043957380202]
Predicted rank: [0], ambiguousness: [[0.9320916  0.06790838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6492405928731]
Predicted rank: [0], ambiguousness: [[0.8266465  0.17335348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.70070138411089]
Predicted rank: [0], ambiguousness: [[0.6095352  0.39046478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.8731959042234]
Predicted rank: [0], ambiguousness: [[0.8767525  0.12324753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.09196051079337]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.44712733639976]
Predicted rank: [0], ambiguousness: [[0.8064797  0.19352032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.14551889050603]
Predicted rank: [0], ambiguousness: [[0.69862306 0.30137694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.62624500026666]
Predicted rank: [0], ambiguousness: [[0.7457539  0.25424615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.24782299427314]
Predicted rank: [0], ambiguousness: [[0.82546633 0.17453367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.39845521241173]
Predicted rank: [0], ambiguousness: [[0.8255713  0.17442869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.72952294694622]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.27644092522686]
Predicted rank: [0], ambiguousness: [[0.6721878  0.32781222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.61814955776538]
Predicted rank: [0], ambiguousness: [[0.76993704 0.23006298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.85694036988417]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.18143234254899]
Predicted rank: [0], ambiguousness: [[0.85366225 0.14633772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.48039129227658]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.6004452109815]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64693148815778]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.63899430684738]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.8581234237169]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.12434276978877]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.19336093503973]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.50907140797823]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.61903863754745]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.69158735651862]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.27105042402744]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.37975988130286]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.49645192847504]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.58963966787131]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.23979338514114]
Predicted rank: [0], ambiguousness: [[0.66478044 0.33521956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.59023856238898]
Predicted rank: [0], ambiguousness: [[0.7608277  0.23917228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.82617275998072]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.1808779358987]
Predicted rank: [0], ambiguousness: [[0.8413644  0.15863559]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.47995034536672]
Predicted rank: [0], ambiguousness: [[0.8224915  0.17750849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.59997791208662]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64648817138729]
Predicted rank: [0], ambiguousness: [[0.91311634 0.08688365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.14152198946961]
Predicted rank: [0], ambiguousness: [[0.6298307 0.3701693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.3156014404664]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.6579438275984]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73862140327884]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.23937546145166]
Predicted rank: [0], ambiguousness: [[0.83412415 0.16587584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.35907056170153]
Predicted rank: [0], ambiguousness: [[0.9365752  0.06342484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.4425240028894]
Predicted rank: [0], ambiguousness: [[0.8453839  0.15461612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.51173826542242]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.68910621616479]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.91663754422723]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.2942464775519]
Predicted rank: [0], ambiguousness: [[0.83733153 0.16266844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.06155812356769]
Predicted rank: [0], ambiguousness: [[0.6951107  0.30488932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.3722887098559]
Predicted rank: [0], ambiguousness: [[0.6188865 0.3811135]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.56123798565741]
Predicted rank: [0], ambiguousness: [[0.66422737 0.3357726 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.88585254892607]
Predicted rank: [0], ambiguousness: [[0.7484801 0.2515199]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.96311870571284]
Predicted rank: [0], ambiguousness: [[0.909927   0.09007298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.42503953990638]
Predicted rank: [0], ambiguousness: [[0.8453686 0.1546314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.54078177935534]
Predicted rank: [0], ambiguousness: [[0.9520749 0.0479251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.61987311168585]
Predicted rank: [0], ambiguousness: [[0.8461617 0.1538383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.19753377856068]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.39843163893681]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.67687643536578]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.19339006859751]
Predicted rank: [0], ambiguousness: [[0.8079735  0.19202647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.37223066234935]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.15080258347908]
Predicted rank: [0], ambiguousness: [[0.64804804 0.351952  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.50752736006811]
Predicted rank: [0], ambiguousness: [[0.7470654  0.25293458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.74044483357741]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.11584784653627]
Predicted rank: [0], ambiguousness: [[0.8211164  0.17888361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.4138614888533]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.53464941595101]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.581407537474]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.07613133380138]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.24767088754356]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.59415902620816]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.6754901894855]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.18669673712253]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30693674977186]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.39097863702875]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.47093655959048]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.6485786611916]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.87664567696106]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.25571229334909]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.02671303140923]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.03650361421722]
Predicted rank: [0], ambiguousness: [[0.62785363 0.37214634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.20391612777738]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.5610506722632]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.64358371274245]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.18611983067244]
Predicted rank: [0], ambiguousness: [[0.828709   0.17129102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30644105872082]
Predicted rank: [0], ambiguousness: [[0.943374   0.05662604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.39044453800427]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.87245716815667]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.08597928090774]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.38957904803135]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.97455254110623]
Predicted rank: [0], ambiguousness: [[0.82491    0.17509001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.17944040788039]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.13330320158651]
Predicted rank: [0], ambiguousness: [[0.5956774 0.4043226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.33757697628462]
Predicted rank: [0], ambiguousness: [[0.88453084 0.11546916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.62404833254853]
Predicted rank: [0], ambiguousness: [[0.8074329  0.19256711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.16527629901557]
Predicted rank: [0], ambiguousness: [[0.8450192  0.15498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.84082611999588]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.9539815832889]
Predicted rank: [0], ambiguousness: [[0.61035836 0.38964164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.11756672472421]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.48192086057578]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.56546972536725]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.12697373575169]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.24792898258897]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.33259382263853]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.80958673887932]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.02500593755357]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.33257127222393]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.92878644456155]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.1454954783071]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.75745537756053]
Predicted rank: [0], ambiguousness: [[0.60267484 0.3973252 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.97723208553413]
Predicted rank: [0], ambiguousness: [[0.8758787  0.12412129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.29569110605485]
Predicted rank: [0], ambiguousness: [[0.80690795 0.19309205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.92657794813795]
Predicted rank: [0], ambiguousness: [[0.82743806 0.17256193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.50746305064041]
Predicted rank: [0], ambiguousness: [[0.61074066 0.38925937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.77875557485245]
Predicted rank: [0], ambiguousness: [[0.6047793 0.3952207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.71145940263595]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.93330513339843]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.25645963410224]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.90116029539882]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.4811941940088]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.41531190023908]
Predicted rank: [0], ambiguousness: [[0.6084925  0.39150754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.54896383820314]
Predicted rank: [0], ambiguousness: [[0.61115813 0.38884184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.55444227854767]
Predicted rank: [0], ambiguousness: [[0.735592   0.26440802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.1970267054437]
Predicted rank: [0], ambiguousness: [[0.73374283 0.2662572 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.59903110388066]
Predicted rank: [0], ambiguousness: [[0.8196514  0.18034856]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.7368007620949]
Predicted rank: [0], ambiguousness: [[0.8470392  0.15296079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.0844094957474]
Predicted rank: [0], ambiguousness: [[0.7523508  0.24764916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31576513239906]
Predicted rank: [0], ambiguousness: [[0.7163992 0.2836008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.48059649410924]
Predicted rank: [0], ambiguousness: [[0.76405674 0.23594327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.86792661644745]
Predicted rank: [0], ambiguousness: [[0.7438232  0.25617686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.61233508505012]
Predicted rank: [0], ambiguousness: [[0.70934916 0.29065084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.01046714450915]
Predicted rank: [0], ambiguousness: [[0.67029905 0.32970092]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.07414996030738]
Predicted rank: [0], ambiguousness: [[0.67236376 0.32763627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.10205328763897]
Predicted rank: [0], ambiguousness: [[0.8206206  0.17937942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.55390969918986]
Predicted rank: [0], ambiguousness: [[0.7320217  0.26797828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.80016325085097]
Predicted rank: [0], ambiguousness: [[0.73365754 0.26634246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.3687205024022]
Predicted rank: [0], ambiguousness: [[0.8096532  0.19034679]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.51799606071886]
Predicted rank: [0], ambiguousness: [[0.83629644 0.16370358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.85078905649578]
Predicted rank: [0], ambiguousness: [[0.7392068  0.26079324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.85764004465375]
Predicted rank: [0], ambiguousness: [[0.63682187 0.36317816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.13065113745726]
Predicted rank: [0], ambiguousness: [[0.7360637  0.26393625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.40707553867924]
Predicted rank: [0], ambiguousness: [[0.7353126 0.2646874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.51315805643819]
Predicted rank: [0], ambiguousness: [[0.83666515 0.16333485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.8295209935673]
Predicted rank: [0], ambiguousness: [[0.81395507 0.18604493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.9368302710539]
Predicted rank: [0], ambiguousness: [[0.8334899  0.16651008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.97939006778847]
Predicted rank: [0], ambiguousness: [[0.90652    0.09347998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.23042744594642]
Predicted rank: [0], ambiguousness: [[0.68049407 0.31950596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.58017369145709]
Predicted rank: [0], ambiguousness: [[0.7080584  0.29194158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.72750383473542]
Predicted rank: [0], ambiguousness: [[0.75562704 0.24437295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.76866276999694]
Predicted rank: [0], ambiguousness: [[0.8975712  0.10242882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.8335400331546]
Predicted rank: [0], ambiguousness: [[0.6647166 0.3352834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.90667859157259]
Predicted rank: [0], ambiguousness: [[0.8706062 0.1293938]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.94100062127389]
Predicted rank: [0], ambiguousness: [[0.66351044 0.3364896 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.00512868529196]
Predicted rank: [0], ambiguousness: [[0.73194695 0.26805305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.53648579763569]
Predicted rank: [0], ambiguousness: [[0.86273617 0.13726383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.68096730862422]
Predicted rank: [0], ambiguousness: [[0.8363707  0.16362931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.02108378700402]
Predicted rank: [0], ambiguousness: [[0.74165463 0.25834537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.62286145934898]
Predicted rank: [0], ambiguousness: [[0.6291582 0.3708418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.93881924907623]
Predicted rank: [0], ambiguousness: [[0.7344149  0.26558512]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.19448394841416]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.43525743845022]
Predicted rank: [0], ambiguousness: [[0.8103264  0.18967362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.74357247583178]
Predicted rank: [0], ambiguousness: [[0.789657   0.21034302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.85776914907322]
Predicted rank: [0], ambiguousness: [[0.80746174 0.19253826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.90238314676728]
Predicted rank: [0], ambiguousness: [[0.90106356 0.09893647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.85388189846852]
Predicted rank: [0], ambiguousness: [[0.59458095 0.40541905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.08223269705819]
Predicted rank: [0], ambiguousness: [[0.6061766 0.3938234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.33872845658598]
Predicted rank: [0], ambiguousness: [[0.72234523 0.2776548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.40576880604823]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.70033109545372]
Predicted rank: [0], ambiguousness: [[0.799471   0.20052901]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.8079448774251]
Predicted rank: [0], ambiguousness: [[0.9299641 0.0700359]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.87793962404909]
Predicted rank: [0], ambiguousness: [[0.8228773  0.17712274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.39227191484692]
Predicted rank: [0], ambiguousness: [[0.65706325 0.34293672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.50049129981267]
Predicted rank: [0], ambiguousness: [[0.894016   0.10598396]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.616344755663]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.70876880747376]
Predicted rank: [0], ambiguousness: [[0.6619825  0.33801752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.4870768604942]
Predicted rank: [0], ambiguousness: [[0.7017057  0.29829434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.73703273390535]
Predicted rank: [0], ambiguousness: [[0.72682625 0.27317375]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.3149972729883]
Predicted rank: [0], ambiguousness: [[0.8046918  0.19530821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.46490434387867]
Predicted rank: [0], ambiguousness: [[0.83765376 0.16234621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.79685800261615]
Predicted rank: [0], ambiguousness: [[0.7414894  0.25851056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.81468737330039]
Predicted rank: [0], ambiguousness: [[0.62876356 0.3712364 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.0881809831283]
Predicted rank: [0], ambiguousness: [[0.73744965 0.26255035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.36424415425103]
Predicted rank: [0], ambiguousness: [[0.7370746  0.26292542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.47191747610984]
Predicted rank: [0], ambiguousness: [[0.8471148 0.1528852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.78805738028294]
Predicted rank: [0], ambiguousness: [[0.81574655 0.18425342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.8954981960705]
Predicted rank: [0], ambiguousness: [[0.8408098 0.1591902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.93809912386007]
Predicted rank: [0], ambiguousness: [[0.90378344 0.09621658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.19233439862467]
Predicted rank: [0], ambiguousness: [[0.6820457  0.31795433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.54208064413532]
Predicted rank: [0], ambiguousness: [[0.7099303  0.29006973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.68941078741366]
Predicted rank: [0], ambiguousness: [[0.76490295 0.23509705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.73056972267518]
Predicted rank: [0], ambiguousness: [[0.89433855 0.10566143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.79544698583285]
Predicted rank: [0], ambiguousness: [[0.6908001 0.3091999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.86858554425083]
Predicted rank: [0], ambiguousness: [[0.86664903 0.133351  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.90290757395213]
Predicted rank: [0], ambiguousness: [[0.6557242  0.34427577]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.71013461732008]
Predicted rank: [0], ambiguousness: [[0.71750873 0.28249127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31447358562696]
Predicted rank: [0], ambiguousness: [[0.81028056 0.18971947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.46436574151286]
Predicted rank: [0], ambiguousness: [[0.8128357  0.18716432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.79640597225426]
Predicted rank: [0], ambiguousness: [[0.7092327  0.29076728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.34253525070343]
Predicted rank: [0], ambiguousness: [[0.62866175 0.37133825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.68070623827373]
Predicted rank: [0], ambiguousness: [[0.7291852  0.27081478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.92149209484745]
Predicted rank: [0], ambiguousness: [[0.72842175 0.27157825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.23438979274825]
Predicted rank: [0], ambiguousness: [[0.8228117  0.17718828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.53426631978354]
Predicted rank: [0], ambiguousness: [[0.79863906 0.20136097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.65366901319635]
Predicted rank: [0], ambiguousness: [[0.8234464 0.1765536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.69994833770915]
Predicted rank: [0], ambiguousness: [[0.9015353  0.09846475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.68098070696419]
Predicted rank: [0], ambiguousness: [[0.588142   0.41185802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.90055258883214]
Predicted rank: [0], ambiguousness: [[0.6192155  0.38078454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.16622014005888]
Predicted rank: [0], ambiguousness: [[0.72840726 0.27159277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.23513758098761]
Predicted rank: [0], ambiguousness: [[0.8942973  0.10570269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.54954681231783]
Predicted rank: [0], ambiguousness: [[0.8268798  0.17312022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.65940948591484]
Predicted rank: [0], ambiguousness: [[0.9299395  0.07006048]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.73184080022853]
Predicted rank: [0], ambiguousness: [[0.83478963 0.16521034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.30797262804532]
Predicted rank: [0], ambiguousness: [[0.6638874 0.3361126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.41668208532073]
Predicted rank: [0], ambiguousness: [[0.8901072  0.10989279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.53337413249292]
Predicted rank: [0], ambiguousness: [[0.7802203  0.21977966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.62656187188918]
Predicted rank: [0], ambiguousness: [[0.66245675 0.33754322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.56641770702356]
Predicted rank: [0], ambiguousness: [[0.63306594 0.36693403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.88897735857765]
Predicted rank: [0], ambiguousness: [[0.71776056 0.28223944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.14204707872861]
Predicted rank: [0], ambiguousness: [[0.7063786  0.29362142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.4052401872264]
Predicted rank: [0], ambiguousness: [[0.83661056 0.16338941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.71313049681461]
Predicted rank: [0], ambiguousness: [[0.8413386  0.15866141]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.82765708012452]
Predicted rank: [0], ambiguousness: [[0.8085139  0.19148609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.87239310537666]
Predicted rank: [0], ambiguousness: [[0.907597   0.09240299]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.42987298445006]
Predicted rank: [0], ambiguousness: [[0.575631   0.42436895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.62239099010577]
Predicted rank: [0], ambiguousness: [[0.58739257 0.4126074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.93904597231513]
Predicted rank: [0], ambiguousness: [[0.7064185 0.2935815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.01531820886808]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.45482100394491]
Predicted rank: [0], ambiguousness: [[0.7828156  0.21718444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.5702323570894]
Predicted rank: [0], ambiguousness: [[0.92310464 0.07689537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.64903337616045]
Predicted rank: [0], ambiguousness: [[0.81192064 0.18807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.70049416739823]
Predicted rank: [0], ambiguousness: [[0.55169594 0.44830406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.87298868751074]
Predicted rank: [0], ambiguousness: [[0.84418833 0.1558117 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.09175329408073]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.44692011968712]
Predicted rank: [0], ambiguousness: [[0.7862133  0.21378675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.14531167379337]
Predicted rank: [0], ambiguousness: [[0.64632314 0.35367686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.62527618572852]
Predicted rank: [0], ambiguousness: [[0.7036082 0.2963918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.24685417901335]
Predicted rank: [0], ambiguousness: [[0.7874212 0.2125788]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.39748639712789]
Predicted rank: [0], ambiguousness: [[0.7902045  0.20979548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.72855413169299]
Predicted rank: [0], ambiguousness: [[0.6880561  0.31194392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.27547210969438]
Predicted rank: [0], ambiguousness: [[0.6231803  0.37681967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.61718074211797]
Predicted rank: [0], ambiguousness: [[0.7328063  0.26719365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.85597155429849]
Predicted rank: [0], ambiguousness: [[0.7320384  0.26796165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.1804635265818]
Predicted rank: [0], ambiguousness: [[0.82458466 0.17541534]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.47942247633522]
Predicted rank: [0], ambiguousness: [[0.7894118  0.21058823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.59947639502116]
Predicted rank: [0], ambiguousness: [[0.8213137  0.17868632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64596267219125]
Predicted rank: [0], ambiguousness: [[0.8957316  0.10426836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.63802549046368]
Predicted rank: [0], ambiguousness: [[0.59259534 0.40740466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.85715460733974]
Predicted rank: [0], ambiguousness: [[0.62353474 0.37646526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.12337395340296]
Predicted rank: [0], ambiguousness: [[0.74014866 0.2598513 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.1923921186524]
Predicted rank: [0], ambiguousness: [[0.89533806 0.10466193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.50810259157069]
Predicted rank: [0], ambiguousness: [[0.83447105 0.16552897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.6180698211384]
Predicted rank: [0], ambiguousness: [[0.92567205 0.07432793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.69061854010788]
Predicted rank: [0], ambiguousness: [[0.8207981  0.17920192]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.27008160756981]
Predicted rank: [0], ambiguousness: [[0.67718196 0.32281804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.37879106484525]
Predicted rank: [0], ambiguousness: [[0.8911842  0.10881576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.49548311201741]
Predicted rank: [0], ambiguousness: [[0.7761797  0.22382036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.5886708514137]
Predicted rank: [0], ambiguousness: [[0.6724816 0.3275184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.23882456613563]
Predicted rank: [0], ambiguousness: [[0.6123351  0.38766494]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.58926974338345]
Predicted rank: [0], ambiguousness: [[0.72024345 0.27975652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.82520394097521]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.17990911689319]
Predicted rank: [0], ambiguousness: [[0.8084569  0.19154312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.4789815263612]
Predicted rank: [0], ambiguousness: [[0.7836316  0.21636838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.59900909308111]
Predicted rank: [0], ambiguousness: [[0.78288555 0.21711448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64551935238178]
Predicted rank: [0], ambiguousness: [[0.8964476  0.10355242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.14055317046409]
Predicted rank: [0], ambiguousness: [[0.5823536  0.41764644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.31463262146087]
Predicted rank: [0], ambiguousness: [[0.6131066  0.38689336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.6569750085929]
Predicted rank: [0], ambiguousness: [[0.7232673 0.2767327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.73765258427333]
Predicted rank: [0], ambiguousness: [[0.89529717 0.10470282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.23840664244614]
Predicted rank: [0], ambiguousness: [[0.8017495  0.19825049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.35810174269602]
Predicted rank: [0], ambiguousness: [[0.92098486 0.07901514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.44155518388388]
Predicted rank: [0], ambiguousness: [[0.81501776 0.18498223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.5107694464169]
Predicted rank: [0], ambiguousness: [[0.57204497 0.427955  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.68813739715927]
Predicted rank: [0], ambiguousness: [[0.85041016 0.14958982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.9156687252217]
Predicted rank: [0], ambiguousness: [[0.77610385 0.22389616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.29327765854637]
Predicted rank: [0], ambiguousness: [[0.8017185  0.19828156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.06058930456217]
Predicted rank: [0], ambiguousness: [[0.6513718  0.34862822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.37131989085037]
Predicted rank: [0], ambiguousness: [[0.56789577 0.4321042 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.56026916665189]
Predicted rank: [0], ambiguousness: [[0.611275   0.38872498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.88488372992055]
Predicted rank: [0], ambiguousness: [[0.7061974  0.29380262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.96214988670732]
Predicted rank: [0], ambiguousness: [[0.89432114 0.10567885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.42407072090086]
Predicted rank: [0], ambiguousness: [[0.81280565 0.18719432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.53981296034982]
Predicted rank: [0], ambiguousness: [[0.939342   0.06065799]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.61890429268033]
Predicted rank: [0], ambiguousness: [[0.8140294  0.18597059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.19656495955516]
Predicted rank: [0], ambiguousness: [[0.55283844 0.44716159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.39746281993129]
Predicted rank: [0], ambiguousness: [[0.84951466 0.15048535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.67590761636026]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.192421249592]
Predicted rank: [0], ambiguousness: [[0.77003264 0.22996737]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.37126184334383]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.14749735075814]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 110.50422762708067]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 109.73714261562758]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.11256389041799]
Predicted rank: [0], ambiguousness: [[0.8001907 0.1998093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.41057679027901]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.53136526635174]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.57812357132796]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.07285163622713]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.24438941134889]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.59088055680937]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.67221218657903]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.18342648901358]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30366687159095]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.38770914878903]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.46767621555045]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.64531842663571]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.87338566067032]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.25245286725024]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.02345500416041]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.03329658560986]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.20070909917001]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.55784364365584]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.6403766841351]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.18291280206509]
Predicted rank: [0], ambiguousness: [[0.8084643 0.1915357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.30323403011346]
Predicted rank: [0], ambiguousness: [[0.93222666 0.06777333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.38723750939693]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.86925013954931]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.08277225230037]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.38637201942399]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.97134551249889]
Predicted rank: [0], ambiguousness: [[0.80432236 0.19567764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.17623337927304]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.13009617297917]
Predicted rank: [0], ambiguousness: [[0.5474328 0.4525672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.33436994767729]
Predicted rank: [0], ambiguousness: [[0.85615647 0.14384355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.62084130394118]
Predicted rank: [0], ambiguousness: [[0.7749076  0.22509244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.16206927040824]
Predicted rank: [0], ambiguousness: [[0.82629824 0.1737018 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.83761909138853]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 109.94196391307221]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.10541579671872]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.47001831587745]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 109.55360235473522]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.11575940360822]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.23673689755583]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.32142489780028]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.79824022556798]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.01372444804718]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.32142508743854]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.91802351565254]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.13510659426636]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.7480631866692]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.96786434633992]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.28637558057308]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.91741109697588]
Predicted rank: [0], ambiguousness: [[0.8080505 0.1919495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.49818785246]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.76998270189974]
Predicted rank: [0], ambiguousness: [[0.55504036 0.44495964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 108.65671714698732]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 108.87976083771335]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.20548576729072]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.85752787850262]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.43325869602398]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.37686779016762]
Predicted rank: [0], ambiguousness: [[0.56222415 0.43777582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.32874402400354]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Running local search 12
Switching 12 patient(s). Size of neighborhood: 125970
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.83552564506918]
Predicted rank: [0], ambiguousness: [[0.7109208  0.28907916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.2390295767346]
Predicted rank: [0], ambiguousness: [[0.8272106 0.1727894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.45174985103486]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.67864230049312]
Predicted rank: [0], ambiguousness: [[0.7540608 0.2459392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.81586839924262]
Predicted rank: [0], ambiguousness: [[0.79100686 0.20899312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 110.01532457030686]
Predicted rank: [0], ambiguousness: [[0.5552836 0.4447164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.16029413823762]
Predicted rank: [0], ambiguousness: [[0.8191571  0.18084285]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.56949798718091]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.16986732215167]
Predicted rank: [0], ambiguousness: [[0.859976   0.14002399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.37225133629934]
Predicted rank: [0], ambiguousness: [[0.89202195 0.10797804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.4583399622797]
Predicted rank: [0], ambiguousness: [[0.6965472 0.3034528]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.24546587743178]
Predicted rank: [0], ambiguousness: [[0.80318785 0.19681214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.48803822875809]
Predicted rank: [0], ambiguousness: [[0.83569705 0.16430292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.63538021707649]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.6894639853978]
Predicted rank: [0], ambiguousness: [[0.75653136 0.24346867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.85386164452368]
Predicted rank: [0], ambiguousness: [[0.62672293 0.37327707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.94919864650117]
Predicted rank: [0], ambiguousness: [[0.62486124 0.37513873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.99049437470512]
Predicted rank: [0], ambiguousness: [[0.8173424  0.18265758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.1556742827648]
Predicted rank: [0], ambiguousness: [[0.8386108  0.16138917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.37437183740008]
Predicted rank: [0], ambiguousness: [[0.83542514 0.16457486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.60126428685832]
Predicted rank: [0], ambiguousness: [[0.76844096 0.23155904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.7384903856078]
Predicted rank: [0], ambiguousness: [[0.81030166 0.18969837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.93794655667206]
Predicted rank: [0], ambiguousness: [[0.6086958 0.3913042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.80246447133611]
Predicted rank: [0], ambiguousness: [[0.83511764 0.16488235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.27076009344299]
Predicted rank: [0], ambiguousness: [[0.8353651  0.16463487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.90799899250149]
Predicted rank: [0], ambiguousness: [[0.8772891  0.12271091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.11566355887472]
Predicted rank: [0], ambiguousness: [[0.90626824 0.09373176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.19258866223129]
Predicted rank: [0], ambiguousness: [[0.7654334  0.23456661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.0934604052845]
Predicted rank: [0], ambiguousness: [[0.8202485  0.17975152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.33752328018048]
Predicted rank: [0], ambiguousness: [[0.85115236 0.14884764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.4831889113918]
Predicted rank: [0], ambiguousness: [[0.7577255 0.2422745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.54043255298316]
Predicted rank: [0], ambiguousness: [[0.7833092  0.21669078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.70331452131902]
Predicted rank: [0], ambiguousness: [[0.68650985 0.31349012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.79928393440065]
Predicted rank: [0], ambiguousness: [[0.6794802  0.32051978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.84079186487622]
Predicted rank: [0], ambiguousness: [[0.83734775 0.16265227]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.11082180629845]
Predicted rank: [0], ambiguousness: [[0.85044014 0.14955989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.99652411010001]
Predicted rank: [0], ambiguousness: [[0.8307778  0.16922219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.81589872979231]
Predicted rank: [0], ambiguousness: [[0.86657685 0.13342313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.03384471960217]
Predicted rank: [0], ambiguousness: [[0.8997918  0.10020822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.09940358198818]
Predicted rank: [0], ambiguousness: [[0.7358258  0.26417425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.00980747287682]
Predicted rank: [0], ambiguousness: [[0.75406396 0.24593602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.41379265083916]
Predicted rank: [0], ambiguousness: [[0.8317497 0.1682503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.39183974513591]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.9880295191448]
Predicted rank: [0], ambiguousness: [[0.8774119  0.12258811]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.02716893360741]
Predicted rank: [0], ambiguousness: [[0.8121638  0.18783623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.18788837748478]
Predicted rank: [0], ambiguousness: [[0.8245463  0.17545371]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.25117930065466]
Predicted rank: [0], ambiguousness: [[0.9096796  0.09032042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.06944497770077]
Predicted rank: [0], ambiguousness: [[0.79840577 0.20159426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.1607222780657]
Predicted rank: [0], ambiguousness: [[0.71390164 0.2860984 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.38118325472038]
Predicted rank: [0], ambiguousness: [[0.7652726 0.2347274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.44207779360792]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.54767052519713]
Predicted rank: [0], ambiguousness: [[0.6688865  0.33111352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.65455081743231]
Predicted rank: [0], ambiguousness: [[0.8839435  0.11605652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.70847204161291]
Predicted rank: [0], ambiguousness: [[0.688782   0.31121802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.69519921414252]
Predicted rank: [0], ambiguousness: [[0.84020555 0.15979443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.18520351749982]
Predicted rank: [0], ambiguousness: [[0.849552   0.15044804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.82496677070341]
Predicted rank: [0], ambiguousness: [[0.8812607  0.11873931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.03290086286476]
Predicted rank: [0], ambiguousness: [[0.9127864  0.08721358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.1093949472274]
Predicted rank: [0], ambiguousness: [[0.78501236 0.2149876 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.01676932217482]
Predicted rank: [0], ambiguousness: [[0.83548135 0.16451864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.2608321970708]
Predicted rank: [0], ambiguousness: [[0.8690342  0.13096586]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.40649782828214]
Predicted rank: [0], ambiguousness: [[0.79041886 0.2095811 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.4637414698735]
Predicted rank: [0], ambiguousness: [[0.81793416 0.18206583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.62662343820935]
Predicted rank: [0], ambiguousness: [[0.72532976 0.27467027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.72259285129098]
Predicted rank: [0], ambiguousness: [[0.72719    0.27280998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.76410078176656]
Predicted rank: [0], ambiguousness: [[0.8601509  0.13984911]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.70849380763906]
Predicted rank: [0], ambiguousness: [[0.849007   0.15099302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.51824776289823]
Predicted rank: [0], ambiguousness: [[0.85447085 0.14552915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.44554585408068]
Predicted rank: [0], ambiguousness: [[0.8784299  0.12157008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.67328639395086]
Predicted rank: [0], ambiguousness: [[0.9094513  0.09054869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.72380518847038]
Predicted rank: [0], ambiguousness: [[0.77992517 0.22007483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.6925133416662]
Predicted rank: [0], ambiguousness: [[0.78572756 0.21427242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.11216295469096]
Predicted rank: [0], ambiguousness: [[0.8559998  0.14400017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.07591377183718]
Predicted rank: [0], ambiguousness: [[0.78963304 0.210367  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.72338325676142]
Predicted rank: [0], ambiguousness: [[0.8960974  0.10390258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.75249497338301]
Predicted rank: [0], ambiguousness: [[0.845443   0.15455702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.91849463532111]
Predicted rank: [0], ambiguousness: [[0.8622312 0.1377688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.9834995799033]
Predicted rank: [0], ambiguousness: [[0.9261989  0.07380108]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.91740113435995]
Predicted rank: [0], ambiguousness: [[0.82645905 0.17354096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.00675643584836]
Predicted rank: [0], ambiguousness: [[0.7661935  0.23380648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.2288742124759]
Predicted rank: [0], ambiguousness: [[0.8068733  0.19312665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.29009382610957]
Predicted rank: [0], ambiguousness: [[0.9245587  0.07544129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.39682645298403]
Predicted rank: [0], ambiguousness: [[0.7281691  0.27183095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.50421565927998]
Predicted rank: [0], ambiguousness: [[0.903938   0.09606203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.55868150971604]
Predicted rank: [0], ambiguousness: [[0.7270974 0.2729026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.91357347394073]
Predicted rank: [0], ambiguousness: [[0.8495953  0.15040469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.7663541267288]
Predicted rank: [0], ambiguousness: [[0.9195723  0.08042769]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.98486209565516]
Predicted rank: [0], ambiguousness: [[0.91320395 0.08679605]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.04971958930882]
Predicted rank: [0], ambiguousness: [[0.78210354 0.21789648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.3375427686404]
Predicted rank: [0], ambiguousness: [[0.78012115 0.21987884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.82740485510696]
Predicted rank: [0], ambiguousness: [[0.8512002  0.14879978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.75732783090861]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.62502238199565]
Predicted rank: [0], ambiguousness: [[0.8827784  0.11722159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64154379617429]
Predicted rank: [0], ambiguousness: [[0.8243699  0.17563006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.81845646927422]
Predicted rank: [0], ambiguousness: [[0.83983237 0.16016762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.88670996984425]
Predicted rank: [0], ambiguousness: [[0.921792   0.07820801]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.75503208668403]
Predicted rank: [0], ambiguousness: [[0.7609127  0.23908727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64726088422731]
Predicted rank: [0], ambiguousness: [[0.67529595 0.32470402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.04436328360222]
Predicted rank: [0], ambiguousness: [[0.77852523 0.22147475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.14680938929823]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.62347530536879]
Predicted rank: [0], ambiguousness: [[0.8329071  0.16709293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.78566467073514]
Predicted rank: [0], ambiguousness: [[0.9450071  0.05499294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.89656869558394]
Predicted rank: [0], ambiguousness: [[0.8531276  0.14687242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.76971989116987]
Predicted rank: [0], ambiguousness: [[0.7213569  0.27864307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92973755247878]
Predicted rank: [0], ambiguousness: [[0.9218587  0.07814128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.10697542998881]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.2556679270222]
Predicted rank: [0], ambiguousness: [[0.7257389  0.27426112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.57515486884463]
Predicted rank: [0], ambiguousness: [[0.85126936 0.14873067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.391745973193]
Predicted rank: [0], ambiguousness: [[0.8566036  0.14339638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.33877272107252]
Predicted rank: [0], ambiguousness: [[0.8895369  0.11046309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.56783702649192]
Predicted rank: [0], ambiguousness: [[0.91991365 0.08008638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.61656259647401]
Predicted rank: [0], ambiguousness: [[0.7974014 0.2025986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.60800577037175]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.02866036281655]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.9916450645708]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.64243516327585]
Predicted rank: [0], ambiguousness: [[0.9135203  0.08647972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.67107334829136]
Predicted rank: [0], ambiguousness: [[0.86058754 0.13941248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83734665272956]
Predicted rank: [0], ambiguousness: [[0.87875295 0.12124708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.90243717645572]
Predicted rank: [0], ambiguousness: [[0.92800194 0.07199804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.84296612521149]
Predicted rank: [0], ambiguousness: [[0.83477014 0.16522984]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.9323214266999]
Predicted rank: [0], ambiguousness: [[0.77336884 0.22663115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.15443920332746]
Predicted rank: [0], ambiguousness: [[0.8170007  0.18299931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.21565881696111]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.32239144383558]
Predicted rank: [0], ambiguousness: [[0.75403875 0.24596123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.42978065013153]
Predicted rank: [0], ambiguousness: [[0.90406245 0.09593755]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.4842465005676]
Predicted rank: [0], ambiguousness: [[0.72326285 0.27673715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.35940209700402]
Predicted rank: [0], ambiguousness: [[0.8524487  0.14755131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.35231196093224]
Predicted rank: [0], ambiguousness: [[0.8970556  0.10294439]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.58117733113225]
Predicted rank: [0], ambiguousness: [[0.91354436 0.08645565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.63029294308598]
Predicted rank: [0], ambiguousness: [[0.77747697 0.22252305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.81095208179738]
Predicted rank: [0], ambiguousness: [[0.79119796 0.20880203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.34342024881366]
Predicted rank: [0], ambiguousness: [[0.8580607  0.14193927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.24429507772871]
Predicted rank: [0], ambiguousness: [[0.78634566 0.21365434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.25058919805588]
Predicted rank: [0], ambiguousness: [[0.8985085 0.1014915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.25063109577235]
Predicted rank: [0], ambiguousness: [[0.8468618 0.1531382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.43750770937983]
Predicted rank: [0], ambiguousness: [[0.8648629  0.13513708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.50895063339705]
Predicted rank: [0], ambiguousness: [[0.9262735  0.07372648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.43287686270057]
Predicted rank: [0], ambiguousness: [[0.7708152  0.22918482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.30798209486126]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.72265820256075]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.82869252230702]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.34334870738056]
Predicted rank: [0], ambiguousness: [[0.86762035 0.13237967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.50984510252196]
Predicted rank: [0], ambiguousness: [[0.95060796 0.04939207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.62538998769094]
Predicted rank: [0], ambiguousness: [[0.8739525  0.12604746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.61640082083191]
Predicted rank: [0], ambiguousness: [[0.7304828 0.2695172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.77734825504565]
Predicted rank: [0], ambiguousness: [[0.921535   0.07846497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.95617233545465]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.10629773406058]
Predicted rank: [0], ambiguousness: [[0.72922003 0.27077994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.24381398602974]
Predicted rank: [0], ambiguousness: [[0.80123484 0.19876514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.74521221237191]
Predicted rank: [0], ambiguousness: [[0.8526049  0.14739509]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.67052026529907]
Predicted rank: [0], ambiguousness: [[0.7750802  0.22491978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.57733621203212]
Predicted rank: [0], ambiguousness: [[0.91430163 0.08569837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.59310542982254]
Predicted rank: [0], ambiguousness: [[0.8852957  0.11470431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.77058759027457]
Predicted rank: [0], ambiguousness: [[0.858118 0.141882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.83905260369707]
Predicted rank: [0], ambiguousness: [[0.9336404  0.06635956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.05139535888318]
Predicted rank: [0], ambiguousness: [[0.7639593 0.2360407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.88203750293637]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.38038752922759]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.49836068457898]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.21848618089294]
Predicted rank: [0], ambiguousness: [[0.83774066 0.16225931]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.39382282007782]
Predicted rank: [0], ambiguousness: [[0.94783676 0.05216326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.51947609959385]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.08115780249645]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.34416218535047]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.68660088316287]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.25853903758983]
Predicted rank: [0], ambiguousness: [[0.8404543  0.15954572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41908187454675]
Predicted rank: [0], ambiguousness: [[0.72357786 0.27642217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.19398956612088]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.2231103135118]
Predicted rank: [0], ambiguousness: [[0.89027274 0.10972727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.45352719185341]
Predicted rank: [0], ambiguousness: [[0.9077362  0.09226384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.50056419603956]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.68196224022111]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.22185951566982]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.11846599274861]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.14913864974193]
Predicted rank: [0], ambiguousness: [[0.9084126  0.09158742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14721604644795]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33545720498549]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.40733458848419]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.35408990191843]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.2282539133052]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.6440807343321]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.75032473843973]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.26768829103091]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.43440291243391]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.55019151032255]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.54810587168029]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.70905330589403]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.88787738630305]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.03800278490895]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.63257138700112]
Predicted rank: [0], ambiguousness: [[0.78569573 0.21430428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.18762491267795]
Predicted rank: [0], ambiguousness: [[0.8533181  0.14668189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.07940492039498]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.16255926089516]
Predicted rank: [0], ambiguousness: [[0.9042273 0.0957727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.16109604347429]
Predicted rank: [0], ambiguousness: [[0.8500848 0.1499152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.34911278894481]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.42097872893646]
Predicted rank: [0], ambiguousness: [[0.9278579  0.07214215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.51320772240568]
Predicted rank: [0], ambiguousness: [[0.7708152  0.22918482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.30772961619614]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.85544996801795]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.98187459844154]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.81947872354493]
Predicted rank: [0], ambiguousness: [[0.8602165 0.1397835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.00304909771678]
Predicted rank: [0], ambiguousness: [[0.94756496 0.05243501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.13759292705066]
Predicted rank: [0], ambiguousness: [[0.86998117 0.13001883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.73200859421378]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.0043630767169]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.36359185108994]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.97850261868433]
Predicted rank: [0], ambiguousness: [[0.8599545  0.14004555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.27056681603173]
Predicted rank: [0], ambiguousness: [[0.72418743 0.27581257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.95963732710892]
Predicted rank: [0], ambiguousness: [[0.75700235 0.24299765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.78390105578937]
Predicted rank: [0], ambiguousness: [[0.6949569  0.30504307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.29619653322496]
Predicted rank: [0], ambiguousness: [[0.77412105 0.22587897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.41590567281239]
Predicted rank: [0], ambiguousness: [[0.9208499 0.0791501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.17515772134881]
Predicted rank: [0], ambiguousness: [[0.86996794 0.13003209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.35106948981272]
Predicted rank: [0], ambiguousness: [[0.9604923  0.03950767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.47722277505665]
Predicted rank: [0], ambiguousness: [[0.87065417 0.12934582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.24703158165626]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.55794917465656]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.0008103035261]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.84393861256254]
Predicted rank: [0], ambiguousness: [[0.8373774  0.16262259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.60343841408647]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.47332322816462]
Predicted rank: [0], ambiguousness: [[0.77293724 0.22706275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.04106408698664]
Predicted rank: [0], ambiguousness: [[0.84378505 0.15621492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.92663895341529]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.05162846338021]
Predicted rank: [0], ambiguousness: [[0.8909632  0.10903683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.04799130577453]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.23753645856482]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.3099017534396]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.40066383064368]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.18995635186177]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.74604797451629]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.87379006012287]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.73245538700742]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.91712562425448]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.05284940941863]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.66866867096115]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.94156773675701]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.30185950131175]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.91966068681182]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.21899384283077]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.34160856996287]
Predicted rank: [0], ambiguousness: [[0.7623218  0.23767819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.123657570402]
Predicted rank: [0], ambiguousness: [[0.6724926 0.3275074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.69852882734864]
Predicted rank: [0], ambiguousness: [[0.7735307  0.22646926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.82834761563143]
Predicted rank: [0], ambiguousness: [[0.9225978  0.07740218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.74242343972334]
Predicted rank: [0], ambiguousness: [[0.8547304  0.14526959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.92712767356608]
Predicted rank: [0], ambiguousness: [[0.9529649 0.0470351]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.06265556700893]
Predicted rank: [0], ambiguousness: [[0.8600427  0.13995731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.64802510649452]
Predicted rank: [0], ambiguousness: [[0.65098643 0.3490136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.98320332826263]
Predicted rank: [0], ambiguousness: [[0.8898973  0.11010269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.47430677956746]
Predicted rank: [0], ambiguousness: [[0.82839566 0.17160434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.44855334565833]
Predicted rank: [0], ambiguousness: [[0.8514051  0.14859493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.25654951483827]
Predicted rank: [0], ambiguousness: [[0.6437398 0.3562602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.15319925932653]
Predicted rank: [0], ambiguousness: [[0.6308516  0.36914834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.4700408167706]
Predicted rank: [0], ambiguousness: [[0.8988435  0.10115647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.92696694947388]
Predicted rank: [0], ambiguousness: [[0.8294595  0.17054053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.8132602281855]
Predicted rank: [0], ambiguousness: [[0.87079275 0.12920724]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.73081112337876]
Predicted rank: [0], ambiguousness: [[0.64675856 0.35324144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.27253245886672]
Predicted rank: [0], ambiguousness: [[0.750318 0.249682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.05006188019759]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.63402656667063]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.7650618171786]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.70342121528495]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.88877026037397]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.02495403879534]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.60921933343828]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.94644905876478]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.44195182262476]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.42894064723461]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.2544345230071]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.51009053727665]
Predicted rank: [0], ambiguousness: [[0.6344679 0.3655321]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.85523879431318]
Predicted rank: [0], ambiguousness: [[0.8898077  0.11019228]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.37046415857796]
Predicted rank: [0], ambiguousness: [[0.82704854 0.17295144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.41998529069099]
Predicted rank: [0], ambiguousness: [[0.853601   0.14639902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.16368005052198]
Predicted rank: [0], ambiguousness: [[0.6320697  0.36793032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.66232801523984]
Predicted rank: [0], ambiguousness: [[0.63480306 0.36519697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.79248331066722]
Predicted rank: [0], ambiguousness: [[0.66120255 0.33879742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.12951423616204]
Predicted rank: [0], ambiguousness: [[0.8831987  0.11680134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.62915285642543]
Predicted rank: [0], ambiguousness: [[0.8286452  0.17135476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.63815394489055]
Predicted rank: [0], ambiguousness: [[0.8402673  0.15973267]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.44735756541462]
Predicted rank: [0], ambiguousness: [[0.6541935  0.34580645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.32002011175238]
Predicted rank: [0], ambiguousness: [[0.63082176 0.36917824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.1555000715683]
Predicted rank: [0], ambiguousness: [[0.8428932  0.15710683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.37419762620354]
Predicted rank: [0], ambiguousness: [[0.84126294 0.15873705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.60109007566182]
Predicted rank: [0], ambiguousness: [[0.78534913 0.21465085]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.7383161744113]
Predicted rank: [0], ambiguousness: [[0.8168352  0.18316476]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.93777234547555]
Predicted rank: [0], ambiguousness: [[0.63330376 0.3666962 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.8022902601396]
Predicted rank: [0], ambiguousness: [[0.83599794 0.16400206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.27058588224648]
Predicted rank: [0], ambiguousness: [[0.83624434 0.16375567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.90782478130498]
Predicted rank: [0], ambiguousness: [[0.88629675 0.11370327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.11548934767819]
Predicted rank: [0], ambiguousness: [[0.906811 0.093189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.19241445103478]
Predicted rank: [0], ambiguousness: [[0.76472807 0.23527195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.09328619408798]
Predicted rank: [0], ambiguousness: [[0.8290551  0.17094493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.33734906898397]
Predicted rank: [0], ambiguousness: [[0.8519622  0.14803782]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.4830147001953]
Predicted rank: [0], ambiguousness: [[0.76997316 0.23002684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.54025834178665]
Predicted rank: [0], ambiguousness: [[0.7843946  0.21560535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.7031403101225]
Predicted rank: [0], ambiguousness: [[0.7122361 0.2877639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.79910972320414]
Predicted rank: [0], ambiguousness: [[0.69408643 0.30591357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.84061765367971]
Predicted rank: [0], ambiguousness: [[0.84638625 0.15361376]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.11064759510194]
Predicted rank: [0], ambiguousness: [[0.8563013 0.1436987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.9963498989035]
Predicted rank: [0], ambiguousness: [[0.83726203 0.16273794]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.81572451859581]
Predicted rank: [0], ambiguousness: [[0.88652974 0.11347026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.03367050840566]
Predicted rank: [0], ambiguousness: [[0.90393734 0.09606269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.09922937079166]
Predicted rank: [0], ambiguousness: [[0.74497586 0.25502414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.0096332616803]
Predicted rank: [0], ambiguousness: [[0.7867012  0.21329883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.41361843964265]
Predicted rank: [0], ambiguousness: [[0.838204 0.161796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.3916655339394]
Predicted rank: [0], ambiguousness: [[0.7664675  0.23353247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.98785530794828]
Predicted rank: [0], ambiguousness: [[0.8849876  0.11501239]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.0269947224109]
Predicted rank: [0], ambiguousness: [[0.84226584 0.15773413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.18771416628827]
Predicted rank: [0], ambiguousness: [[0.83132786 0.16867213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.25100508945813]
Predicted rank: [0], ambiguousness: [[0.9126352  0.08736478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.06927076650426]
Predicted rank: [0], ambiguousness: [[0.80584055 0.19415945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.1605480668692]
Predicted rank: [0], ambiguousness: [[0.7614528  0.23854718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.38100904352386]
Predicted rank: [0], ambiguousness: [[0.78417367 0.21582632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.44190358241138]
Predicted rank: [0], ambiguousness: [[0.9192945  0.08070555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.5474963140006]
Predicted rank: [0], ambiguousness: [[0.69242954 0.30757046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.65437660623579]
Predicted rank: [0], ambiguousness: [[0.9069177 0.0930823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.7082978304164]
Predicted rank: [0], ambiguousness: [[0.71152055 0.28847948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.6943331818919]
Predicted rank: [0], ambiguousness: [[0.80835193 0.19164808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.18433748524919]
Predicted rank: [0], ambiguousness: [[0.80819637 0.19180362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.82410073845276]
Predicted rank: [0], ambiguousness: [[0.8593066  0.14069343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.03203483061412]
Predicted rank: [0], ambiguousness: [[0.89356834 0.10643165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.10852891497676]
Predicted rank: [0], ambiguousness: [[0.77513885 0.22486113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.01590328992418]
Predicted rank: [0], ambiguousness: [[0.7912086  0.20879138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.25996616482017]
Predicted rank: [0], ambiguousness: [[0.83197474 0.16802524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.40563179603151]
Predicted rank: [0], ambiguousness: [[0.77973765 0.22026233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.46287543762284]
Predicted rank: [0], ambiguousness: [[0.77023804 0.22976197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.6257574059587]
Predicted rank: [0], ambiguousness: [[0.71253765 0.28746232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.72172681904034]
Predicted rank: [0], ambiguousness: [[0.7144505  0.28554952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.7632347495159]
Predicted rank: [0], ambiguousness: [[0.8547785 0.1452215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.70762777538843]
Predicted rank: [0], ambiguousness: [[0.812595   0.18740499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.5173817306476]
Predicted rank: [0], ambiguousness: [[0.8081287  0.19187127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.44467982183005]
Predicted rank: [0], ambiguousness: [[0.8478416  0.15215835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.6724203617002]
Predicted rank: [0], ambiguousness: [[0.8856523 0.1143477]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.72293915621974]
Predicted rank: [0], ambiguousness: [[0.7648243  0.23517574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.69164730941554]
Predicted rank: [0], ambiguousness: [[0.7245516  0.27544838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.1112969224403]
Predicted rank: [0], ambiguousness: [[0.81003636 0.18996362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.07504773958652]
Predicted rank: [0], ambiguousness: [[0.7720547  0.22794536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.72251722451077]
Predicted rank: [0], ambiguousness: [[0.8721678  0.12783216]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.75162894113237]
Predicted rank: [0], ambiguousness: [[0.83738804 0.16261193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.91762860307048]
Predicted rank: [0], ambiguousness: [[0.851704   0.14829601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.98263354765265]
Predicted rank: [0], ambiguousness: [[0.92071176 0.07928826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.9165351021093]
Predicted rank: [0], ambiguousness: [[0.77356076 0.22643924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.0058904035977]
Predicted rank: [0], ambiguousness: [[0.74728346 0.25271657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.22800818022526]
Predicted rank: [0], ambiguousness: [[0.7903531 0.2096469]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.28922779385891]
Predicted rank: [0], ambiguousness: [[0.9185307 0.0814693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.39596042073339]
Predicted rank: [0], ambiguousness: [[0.7073582  0.29264182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.50334962702934]
Predicted rank: [0], ambiguousness: [[0.8964469  0.10355314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.5578154774654]
Predicted rank: [0], ambiguousness: [[0.70623755 0.29376242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.91270744169009]
Predicted rank: [0], ambiguousness: [[0.80206025 0.19793972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.76548809447819]
Predicted rank: [0], ambiguousness: [[0.8981354  0.10186455]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.98399606340453]
Predicted rank: [0], ambiguousness: [[0.8902722  0.10972778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.0488535570582]
Predicted rank: [0], ambiguousness: [[0.7671074  0.23289257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.33667673638976]
Predicted rank: [0], ambiguousness: [[0.71791923 0.2820808 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.82653882285632]
Predicted rank: [0], ambiguousness: [[0.80405545 0.19594456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.75646179865797]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.62415634974502]
Predicted rank: [0], ambiguousness: [[0.85310125 0.14689872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64067776392365]
Predicted rank: [0], ambiguousness: [[0.8115819  0.18841808]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.81759043702357]
Predicted rank: [0], ambiguousness: [[0.82793516 0.17206483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.8858439375936]
Predicted rank: [0], ambiguousness: [[0.91685647 0.08314353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.75416605443337]
Predicted rank: [0], ambiguousness: [[0.69539845 0.30460152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64639485197665]
Predicted rank: [0], ambiguousness: [[0.65236974 0.3476303 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.0434972513516]
Predicted rank: [0], ambiguousness: [[0.7603005 0.2396995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.14594335704757]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.62260927311814]
Predicted rank: [0], ambiguousness: [[0.8243346  0.17566541]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.78479863848449]
Predicted rank: [0], ambiguousness: [[0.9428358  0.05716422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.89570266333331]
Predicted rank: [0], ambiguousness: [[0.8420322  0.15796779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.76885385891924]
Predicted rank: [0], ambiguousness: [[0.70023924 0.29976076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92887152022814]
Predicted rank: [0], ambiguousness: [[0.9156347  0.08436533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.10610939773817]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.25480189477156]
Predicted rank: [0], ambiguousness: [[0.70481735 0.29518265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.57203070621294]
Predicted rank: [0], ambiguousness: [[0.77009284 0.22990717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.38862181056132]
Predicted rank: [0], ambiguousness: [[0.789837   0.21016301]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.33564855844082]
Predicted rank: [0], ambiguousness: [[0.8226323  0.17736772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.56471286386024]
Predicted rank: [0], ambiguousness: [[0.87050354 0.12949646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.61343843384233]
Predicted rank: [0], ambiguousness: [[0.7447535  0.25524652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.60488160774004]
Predicted rank: [0], ambiguousness: [[0.7012378  0.29876223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.02553620018485]
Predicted rank: [0], ambiguousness: [[0.79868865 0.20131133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.9885209019391]
Predicted rank: [0], ambiguousness: [[0.76606894 0.23393106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.63931100064416]
Predicted rank: [0], ambiguousness: [[0.86379576 0.13620423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.66794918565967]
Predicted rank: [0], ambiguousness: [[0.82206947 0.17793052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83422249009789]
Predicted rank: [0], ambiguousness: [[0.8430852  0.15691479]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.89931301382401]
Predicted rank: [0], ambiguousness: [[0.90724593 0.09275407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.83984196257981]
Predicted rank: [0], ambiguousness: [[0.7606779  0.23932213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.92919726406822]
Predicted rank: [0], ambiguousness: [[0.7408656  0.25913444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.15131504069576]
Predicted rank: [0], ambiguousness: [[0.7916957  0.20830427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.21253465432943]
Predicted rank: [0], ambiguousness: [[0.9109865  0.08901352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.31926728120389]
Predicted rank: [0], ambiguousness: [[0.72297955 0.27702045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.42665648749986]
Predicted rank: [0], ambiguousness: [[0.88710904 0.11289099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.48112233793591]
Predicted rank: [0], ambiguousness: [[0.68991554 0.3100845 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.35627793437233]
Predicted rank: [0], ambiguousness: [[0.79083544 0.20916456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.34918779830055]
Predicted rank: [0], ambiguousness: [[0.8392482  0.16075185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.57805316850055]
Predicted rank: [0], ambiguousness: [[0.86545956 0.13454045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.62716878045428]
Predicted rank: [0], ambiguousness: [[0.72931826 0.27068174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.80782791916569]
Predicted rank: [0], ambiguousness: [[0.7093468 0.2906532]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.34029608618198]
Predicted rank: [0], ambiguousness: [[0.7982363  0.20176369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.24117091509703]
Predicted rank: [0], ambiguousness: [[0.7652188  0.23478119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.2474650354242]
Predicted rank: [0], ambiguousness: [[0.8434937  0.15650629]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.24750693314064]
Predicted rank: [0], ambiguousness: [[0.80757976 0.19242024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.43438354674814]
Predicted rank: [0], ambiguousness: [[0.83151805 0.16848196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.50582647076536]
Predicted rank: [0], ambiguousness: [[0.9093249 0.0906751]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.42975270006889]
Predicted rank: [0], ambiguousness: [[0.6876062 0.3123938]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.30485793222957]
Predicted rank: [0], ambiguousness: [[0.6639836 0.3360164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.71953403992906]
Predicted rank: [0], ambiguousness: [[0.7652057  0.23479433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.82556835967533]
Predicted rank: [0], ambiguousness: [[0.9140999  0.08590011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.34022454474886]
Predicted rank: [0], ambiguousness: [[0.83831775 0.16168222]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.50672093989027]
Predicted rank: [0], ambiguousness: [[0.9371634  0.06283657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.62226582505926]
Predicted rank: [0], ambiguousness: [[0.8424419  0.15755807]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.61327665820022]
Predicted rank: [0], ambiguousness: [[0.70589805 0.29410195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.77422409241396]
Predicted rank: [0], ambiguousness: [[0.91061634 0.08938367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.95304817282297]
Predicted rank: [0], ambiguousness: [[0.8118123  0.18818773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.10317357142887]
Predicted rank: [0], ambiguousness: [[0.70456666 0.29543334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.24068982339804]
Predicted rank: [0], ambiguousness: [[0.7219354 0.2780646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.7420880497402]
Predicted rank: [0], ambiguousness: [[0.7910409 0.2089591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.66739610266738]
Predicted rank: [0], ambiguousness: [[0.7531891  0.24681093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.57421204940044]
Predicted rank: [0], ambiguousness: [[0.86657643 0.13342355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.58998126719086]
Predicted rank: [0], ambiguousness: [[0.85417485 0.14582515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.76746342764288]
Predicted rank: [0], ambiguousness: [[0.8234486  0.17655142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.83592844106538]
Predicted rank: [0], ambiguousness: [[0.91823584 0.08176414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.04827119625149]
Predicted rank: [0], ambiguousness: [[0.67929673 0.32070324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.87891334030469]
Predicted rank: [0], ambiguousness: [[0.64360154 0.35639843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.37726336659591]
Predicted rank: [0], ambiguousness: [[0.75322485 0.24677515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.4952365219473]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.21536201826125]
Predicted rank: [0], ambiguousness: [[0.7992568  0.20074317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.39069865744614]
Predicted rank: [0], ambiguousness: [[0.9320916  0.06790838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.51635193696217]
Predicted rank: [0], ambiguousness: [[0.8266465  0.17335348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.07803363986477]
Predicted rank: [0], ambiguousness: [[0.6095352  0.39046478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.34103802271879]
Predicted rank: [0], ambiguousness: [[0.8767525  0.12324753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.68347672053119]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.25541487495813]
Predicted rank: [0], ambiguousness: [[0.8064797  0.19352032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41595771191507]
Predicted rank: [0], ambiguousness: [[0.69862306 0.30137694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.18460929278768]
Predicted rank: [0], ambiguousness: [[0.7811854  0.21881463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.21377421052304]
Predicted rank: [0], ambiguousness: [[0.84374774 0.1562523 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.44419262986173]
Predicted rank: [0], ambiguousness: [[0.86751384 0.13248618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.49122762244366]
Predicted rank: [0], ambiguousness: [[0.73525107 0.2647489 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.67263867956808]
Predicted rank: [0], ambiguousness: [[0.7161513 0.2838487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.21254333691326]
Predicted rank: [0], ambiguousness: [[0.80758435 0.19241565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.10914573450492]
Predicted rank: [0], ambiguousness: [[0.76959383 0.23040618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.13984286495976]
Predicted rank: [0], ambiguousness: [[0.8684424 0.1315576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.13791851949709]
Predicted rank: [0], ambiguousness: [[0.8256694  0.17433062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.32616092295518]
Predicted rank: [0], ambiguousness: [[0.85108685 0.14891313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.39803870952925]
Predicted rank: [0], ambiguousness: [[0.9115008 0.0884992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.34481979280307]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.21898329592265]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.63481076360145]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.74105488189511]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.25841995370064]
Predicted rank: [0], ambiguousness: [[0.8654217  0.13457829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.42513469063064]
Predicted rank: [0], ambiguousness: [[0.941813   0.05818701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.54092341903015]
Predicted rank: [0], ambiguousness: [[0.8503895  0.14961049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.538841400557]
Predicted rank: [0], ambiguousness: [[0.7194796  0.28052038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.69978883477074]
Predicted rank: [0], ambiguousness: [[0.910733   0.08926701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.87861291517976]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.02873831378565]
Predicted rank: [0], ambiguousness: [[0.714732 0.285268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.62344772366848]
Predicted rank: [0], ambiguousness: [[0.7093078  0.29069224]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.17850124934529]
Predicted rank: [0], ambiguousness: [[0.79473674 0.20526324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.07028125706233]
Predicted rank: [0], ambiguousness: [[0.750579   0.24942103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.1534355975625]
Predicted rank: [0], ambiguousness: [[0.86270666 0.13729334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.15197238014166]
Predicted rank: [0], ambiguousness: [[0.8224915  0.17750849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33998912561216]
Predicted rank: [0], ambiguousness: [[0.8194972  0.18050274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.41185506560382]
Predicted rank: [0], ambiguousness: [[0.91311634 0.08688365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.50408405907302]
Predicted rank: [0], ambiguousness: [[0.69120777 0.30879223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.29860595286348]
Predicted rank: [0], ambiguousness: [[0.6631581  0.33684188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.84632630468529]
Predicted rank: [0], ambiguousness: [[0.7616519  0.23834813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.97275093510888]
Predicted rank: [0], ambiguousness: [[0.9097518 0.0902482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.81035506021226]
Predicted rank: [0], ambiguousness: [[0.83412415 0.16587584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.99392543438412]
Predicted rank: [0], ambiguousness: [[0.9365752  0.06342484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.12846926371802]
Predicted rank: [0], ambiguousness: [[0.8453839  0.15461612]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.72288493088114]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.99523941338424]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.35446818775728]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.96937895535169]
Predicted rank: [0], ambiguousness: [[0.83733153 0.16266844]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.26144315269909]
Predicted rank: [0], ambiguousness: [[0.6951107  0.30488932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.95051366377628]
Predicted rank: [0], ambiguousness: [[0.67462236 0.32537764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.77477739245671]
Predicted rank: [0], ambiguousness: [[0.66422737 0.3357726 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.28707286989231]
Predicted rank: [0], ambiguousness: [[0.7484801 0.2515199]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.40678200947974]
Predicted rank: [0], ambiguousness: [[0.909927   0.09007298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.16603405801615]
Predicted rank: [0], ambiguousness: [[0.8453686 0.1546314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.34194582648007]
Predicted rank: [0], ambiguousness: [[0.9520749 0.0479251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.46809911172397]
Predicted rank: [0], ambiguousness: [[0.8461617 0.1538383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.2379079183236]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.54882551132391]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.99168664019342]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.8348149492299]
Predicted rank: [0], ambiguousness: [[0.8079735  0.19202647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.59431475075382]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.44282574075686]
Predicted rank: [0], ambiguousness: [[0.6937741 0.3062259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.01111569806417]
Predicted rank: [0], ambiguousness: [[0.78236747 0.2176325 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.8964182691568]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.02322250312264]
Predicted rank: [0], ambiguousness: [[0.84467983 0.15532015]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.01948760266697]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.2091002826607]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.28148769066466]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.37217057067814]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.16123406202877]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.7176857472755]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.8454850475637]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.70505397317785]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.88977275989798]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.02554852944232]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.6422098244258]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.91513722710161]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.27548318521966]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.89342960724886]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.19314820354745]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.31780473189153]
Predicted rank: [0], ambiguousness: [[0.68294996 0.31705004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.09976885058742]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.67477755579435]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.80461729271666]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.71904139652018]
Predicted rank: [0], ambiguousness: [[0.828709   0.17129102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.90376185974178]
Predicted rank: [0], ambiguousness: [[0.943374   0.05662604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.03930708169074]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.62438609016178]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.95961056854834]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.45080781597463]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.42531263742637]
Predicted rank: [0], ambiguousness: [[0.82491    0.17509001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.2334486769805]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.13079773882038]
Predicted rank: [0], ambiguousness: [[0.5956774 0.4043226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.44763929626444]
Predicted rank: [0], ambiguousness: [[0.88453084 0.11546916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.90456542896771]
Predicted rank: [0], ambiguousness: [[0.8074329  0.19256711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.79085870767935]
Predicted rank: [0], ambiguousness: [[0.8450192  0.15498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.7084096028726]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.15383718001718]
Predicted rank: [0], ambiguousness: [[0.6666697  0.33333024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.92761881718573]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.51775220492615]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.64971632640528]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.60378074513345]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.78982770449844]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.9267467309465]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.5003693942646]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.83956341080554]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.33904036916493]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.33698283799586]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.16945973541326]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.4228189184374]
Predicted rank: [0], ambiguousness: [[0.60267484 0.3973252 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.76958318779032]
Predicted rank: [0], ambiguousness: [[0.8758787  0.12412129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.28815514879298]
Predicted rank: [0], ambiguousness: [[0.80690795 0.19309205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.34702204234395]
Predicted rank: [0], ambiguousness: [[0.82743806 0.17256193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.08161609228432]
Predicted rank: [0], ambiguousness: [[0.61074066 0.38925937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.60856328952775]
Predicted rank: [0], ambiguousness: [[0.6047793 0.3952207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.34310152065993]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.69387671350809]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.22157529236759]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.30730622385116]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.04063288772596]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.93370229619259]
Predicted rank: [0], ambiguousness: [[0.6084925  0.39150754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.22573943782133]
Predicted rank: [0], ambiguousness: [[0.61115813 0.38884184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.69437613946147]
Predicted rank: [0], ambiguousness: [[0.83257306 0.16742696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.18438044120015]
Predicted rank: [0], ambiguousness: [[0.83243304 0.16756694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.82414369432496]
Predicted rank: [0], ambiguousness: [[0.87529814 0.12470189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.03207778647847]
Predicted rank: [0], ambiguousness: [[0.90824205 0.09175793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.10857187085335]
Predicted rank: [0], ambiguousness: [[0.7523508  0.24764916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.01594624561568]
Predicted rank: [0], ambiguousness: [[0.8171061  0.18289389]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.26000912051168]
Predicted rank: [0], ambiguousness: [[0.85375047 0.1462495 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.40567475172301]
Predicted rank: [0], ambiguousness: [[0.7438232  0.25617686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.46291839331437]
Predicted rank: [0], ambiguousness: [[0.7980728  0.20192719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.62580036165022]
Predicted rank: [0], ambiguousness: [[0.67029905 0.32970092]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.72176977473185]
Predicted rank: [0], ambiguousness: [[0.67236376 0.32763627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.76327770520741]
Predicted rank: [0], ambiguousness: [[0.8206206  0.17937942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.70767072081024]
Predicted rank: [0], ambiguousness: [[0.8363884  0.16361158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.51742467606941]
Predicted rank: [0], ambiguousness: [[0.8323722  0.16762781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.44472276725186]
Predicted rank: [0], ambiguousness: [[0.8678876 0.1321124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.67246330712203]
Predicted rank: [0], ambiguousness: [[0.9012968  0.09870319]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.72298210164155]
Predicted rank: [0], ambiguousness: [[0.7392068  0.26079324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.69169025483738]
Predicted rank: [0], ambiguousness: [[0.7561691  0.24383095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.11133986786214]
Predicted rank: [0], ambiguousness: [[0.83408827 0.16591175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.07509068500835]
Predicted rank: [0], ambiguousness: [[0.7353126 0.2646874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.72256016993259]
Predicted rank: [0], ambiguousness: [[0.88688993 0.11311009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.75167188655419]
Predicted rank: [0], ambiguousness: [[0.81395507 0.18604493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.91767154849231]
Predicted rank: [0], ambiguousness: [[0.8334899  0.16651008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.98267649307448]
Predicted rank: [0], ambiguousness: [[0.90652    0.09347998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.91657804753112]
Predicted rank: [0], ambiguousness: [[0.801097   0.19890302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.00593334901953]
Predicted rank: [0], ambiguousness: [[0.7080584  0.29194158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.22805112564708]
Predicted rank: [0], ambiguousness: [[0.75562704 0.24437295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.28927073928074]
Predicted rank: [0], ambiguousness: [[0.8975712  0.10242882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.39600336615521]
Predicted rank: [0], ambiguousness: [[0.6647166 0.3352834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.50339257245116]
Predicted rank: [0], ambiguousness: [[0.8706062 0.1293938]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.55785842288724]
Predicted rank: [0], ambiguousness: [[0.66351044 0.3364896 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.91275038711191]
Predicted rank: [0], ambiguousness: [[0.8269063 0.1730937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.7655310399]
Predicted rank: [0], ambiguousness: [[0.91224134 0.08775866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.98403900882634]
Predicted rank: [0], ambiguousness: [[0.90535223 0.09464779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.04889650248]
Predicted rank: [0], ambiguousness: [[0.74165463 0.25834537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.3367196818116]
Predicted rank: [0], ambiguousness: [[0.7500353  0.24996468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.82658176827815]
Predicted rank: [0], ambiguousness: [[0.8287045  0.17129551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.75650474407979]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.62419929516683]
Predicted rank: [0], ambiguousness: [[0.8725585 0.1274415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64072070934546]
Predicted rank: [0], ambiguousness: [[0.789657   0.21034302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.8176333824454]
Predicted rank: [0], ambiguousness: [[0.80746174 0.19253826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.88588688301543]
Predicted rank: [0], ambiguousness: [[0.90106356 0.09893647]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.7542089998552]
Predicted rank: [0], ambiguousness: [[0.7291112 0.2708888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64643779739849]
Predicted rank: [0], ambiguousness: [[0.6061766 0.3938234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.04354019677342]
Predicted rank: [0], ambiguousness: [[0.72234523 0.2776548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.14598630246941]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.62265221853998]
Predicted rank: [0], ambiguousness: [[0.799471   0.20052901]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.78484158390633]
Predicted rank: [0], ambiguousness: [[0.9299641 0.0700359]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.89574560875513]
Predicted rank: [0], ambiguousness: [[0.8228773  0.17712274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.76889680434107]
Predicted rank: [0], ambiguousness: [[0.65706325 0.34293672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92891446564997]
Predicted rank: [0], ambiguousness: [[0.894016   0.10598396]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.10615234316]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.25484484019339]
Predicted rank: [0], ambiguousness: [[0.6619825  0.33801752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.57135064034371]
Predicted rank: [0], ambiguousness: [[0.8148936  0.18510637]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.38794174322916]
Predicted rank: [0], ambiguousness: [[0.82747746 0.17252257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.33496848979306]
Predicted rank: [0], ambiguousness: [[0.86418945 0.13581054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.56403279513488]
Predicted rank: [0], ambiguousness: [[0.9021782  0.09782175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.61275836521878]
Predicted rank: [0], ambiguousness: [[0.7414894  0.25851056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.60420153740787]
Predicted rank: [0], ambiguousness: [[0.7497182  0.25028184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.02485612982112]
Predicted rank: [0], ambiguousness: [[0.8350748  0.16492522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.98784083159795]
Predicted rank: [0], ambiguousness: [[0.7370746  0.26292542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.63863093020055]
Predicted rank: [0], ambiguousness: [[0.89453137 0.1054686 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.66726911522954]
Predicted rank: [0], ambiguousness: [[0.81574655 0.18425342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83354241965974]
Predicted rank: [0], ambiguousness: [[0.8408098 0.1591902]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.89863294338343]
Predicted rank: [0], ambiguousness: [[0.90378344 0.09621658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.83916189195057]
Predicted rank: [0], ambiguousness: [[0.8022331  0.19776691]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.92851719343898]
Predicted rank: [0], ambiguousness: [[0.7099303  0.29006973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.15063497006653]
Predicted rank: [0], ambiguousness: [[0.76490295 0.23509705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.21185458370019]
Predicted rank: [0], ambiguousness: [[0.89433855 0.10566143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.31858721057466]
Predicted rank: [0], ambiguousness: [[0.6908001 0.3091999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.42597641687061]
Predicted rank: [0], ambiguousness: [[0.86664903 0.133351  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.48044226730667]
Predicted rank: [0], ambiguousness: [[0.6557242  0.34427577]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.35559785347341]
Predicted rank: [0], ambiguousness: [[0.8162992  0.18370081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.34850771740162]
Predicted rank: [0], ambiguousness: [[0.8683542 0.1316458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.57737308760164]
Predicted rank: [0], ambiguousness: [[0.8904393  0.10956074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.62648869955535]
Predicted rank: [0], ambiguousness: [[0.7092327  0.29076728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.80714783826677]
Predicted rank: [0], ambiguousness: [[0.7496363  0.25036374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.33961600528305]
Predicted rank: [0], ambiguousness: [[0.8291715  0.17082852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.24049083419811]
Predicted rank: [0], ambiguousness: [[0.72842175 0.27157825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.24678495452527]
Predicted rank: [0], ambiguousness: [[0.8766684  0.12333158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.24682685224172]
Predicted rank: [0], ambiguousness: [[0.79863906 0.20136097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.43370346584922]
Predicted rank: [0], ambiguousness: [[0.8234464 0.1765536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.50514638986644]
Predicted rank: [0], ambiguousness: [[0.9015353  0.09846475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.42907261916994]
Predicted rank: [0], ambiguousness: [[0.7297611  0.27023885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.30417785133065]
Predicted rank: [0], ambiguousness: [[0.6192155  0.38078454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.71885395903014]
Predicted rank: [0], ambiguousness: [[0.72840726 0.27159277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.82488827877641]
Predicted rank: [0], ambiguousness: [[0.8942973  0.10570269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.33954446384995]
Predicted rank: [0], ambiguousness: [[0.8268798  0.17312022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.50604085899135]
Predicted rank: [0], ambiguousness: [[0.9299395  0.07006048]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.62158574416034]
Predicted rank: [0], ambiguousness: [[0.83478963 0.16521034]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.6125965773013]
Predicted rank: [0], ambiguousness: [[0.6638874 0.3361126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.77354401151504]
Predicted rank: [0], ambiguousness: [[0.8901072  0.10989279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.95236809192404]
Predicted rank: [0], ambiguousness: [[0.7802203  0.21977966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.10249349052997]
Predicted rank: [0], ambiguousness: [[0.66245675 0.33754322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.24000974249913]
Predicted rank: [0], ambiguousness: [[0.75316906 0.24683094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.74140796884129]
Predicted rank: [0], ambiguousness: [[0.8164854  0.18351458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.66671602176845]
Predicted rank: [0], ambiguousness: [[0.7063786  0.29362142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.5735319685015]
Predicted rank: [0], ambiguousness: [[0.8913748  0.10862515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.58930118629193]
Predicted rank: [0], ambiguousness: [[0.8413386  0.15866141]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.76678334674395]
Predicted rank: [0], ambiguousness: [[0.8085139  0.19148609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.83524836016645]
Predicted rank: [0], ambiguousness: [[0.907597   0.09240299]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.04759111535256]
Predicted rank: [0], ambiguousness: [[0.7134186 0.2865814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.87823325940576]
Predicted rank: [0], ambiguousness: [[0.58739257 0.4126074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.37658328569698]
Predicted rank: [0], ambiguousness: [[0.7064185 0.2935815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.49455644104839]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.21468193736233]
Predicted rank: [0], ambiguousness: [[0.7828156  0.21718444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.3900185765472]
Predicted rank: [0], ambiguousness: [[0.92310464 0.07689537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.51567185606324]
Predicted rank: [0], ambiguousness: [[0.81192064 0.18807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.07735355896584]
Predicted rank: [0], ambiguousness: [[0.55169594 0.44830406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.34035794181986]
Predicted rank: [0], ambiguousness: [[0.84418833 0.1558117 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.68279663963226]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.25473479405922]
Predicted rank: [0], ambiguousness: [[0.7862133  0.21378675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41527763101615]
Predicted rank: [0], ambiguousness: [[0.64632314 0.35367686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.18162446223478]
Predicted rank: [0], ambiguousness: [[0.7842282  0.21577182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.21078937693636]
Predicted rank: [0], ambiguousness: [[0.83423674 0.16576326]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.44120779617379]
Predicted rank: [0], ambiguousness: [[0.86113006 0.13886994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.48824278888718]
Predicted rank: [0], ambiguousness: [[0.6880561  0.31194392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.66965384494674]
Predicted rank: [0], ambiguousness: [[0.7190727 0.2809273]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.20955850180749]
Predicted rank: [0], ambiguousness: [[0.8122636 0.1877364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.10616089966459]
Predicted rank: [0], ambiguousness: [[0.7320384  0.26796165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.13685802850947]
Predicted rank: [0], ambiguousness: [[0.8635763  0.13642374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.13493368315811]
Predicted rank: [0], ambiguousness: [[0.7894118  0.21058823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.32317608653617]
Predicted rank: [0], ambiguousness: [[0.8213137  0.17868632]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.39505387308418]
Predicted rank: [0], ambiguousness: [[0.8957316  0.10426836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.34183495463094]
Predicted rank: [0], ambiguousness: [[0.70649683 0.2935032 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.21599845777853]
Predicted rank: [0], ambiguousness: [[0.62353474 0.37646526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.63182592542091]
Predicted rank: [0], ambiguousness: [[0.74014866 0.2598513 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.73807004370823]
Predicted rank: [0], ambiguousness: [[0.89533806 0.10466193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.25543511542857]
Predicted rank: [0], ambiguousness: [[0.83447105 0.16552897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.42214985235225]
Predicted rank: [0], ambiguousness: [[0.92567205 0.07432793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.53793858074458]
Predicted rank: [0], ambiguousness: [[0.8207981  0.17920192]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.5358565620748]
Predicted rank: [0], ambiguousness: [[0.67718196 0.32281804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.69680399628854]
Predicted rank: [0], ambiguousness: [[0.8911842  0.10881576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.87562807669754]
Predicted rank: [0], ambiguousness: [[0.7761797  0.22382036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.02575347530345]
Predicted rank: [0], ambiguousness: [[0.6724816 0.3275184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.6204628749166]
Predicted rank: [0], ambiguousness: [[0.70970166 0.29029834]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.17551640059341]
Predicted rank: [0], ambiguousness: [[0.79763997 0.20236006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.06729640831044]
Predicted rank: [0], ambiguousness: [[0.7085117 0.2914883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.15045074881061]
Predicted rank: [0], ambiguousness: [[0.85612965 0.14387032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14898753138976]
Predicted rank: [0], ambiguousness: [[0.7836316  0.21636838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.33700427686027]
Predicted rank: [0], ambiguousness: [[0.78288555 0.21711448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.40887021685194]
Predicted rank: [0], ambiguousness: [[0.8964476  0.10355242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.50109921032114]
Predicted rank: [0], ambiguousness: [[0.6976575  0.30234247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.2956211041116]
Predicted rank: [0], ambiguousness: [[0.6131066  0.38689336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.8433414559334]
Predicted rank: [0], ambiguousness: [[0.7232673 0.2767327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.969766086357]
Predicted rank: [0], ambiguousness: [[0.89529717 0.10470282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.80737021146038]
Predicted rank: [0], ambiguousness: [[0.8017495  0.19825049]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.99094058563225]
Predicted rank: [0], ambiguousness: [[0.92098486 0.07901514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.12548441496612]
Predicted rank: [0], ambiguousness: [[0.81501776 0.18498223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.71990008212924]
Predicted rank: [0], ambiguousness: [[0.57204497 0.427955  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.99225456463236]
Predicted rank: [0], ambiguousness: [[0.85041016 0.14958982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.3514833390054]
Predicted rank: [0], ambiguousness: [[0.77610385 0.22389616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.9663941065998]
Predicted rank: [0], ambiguousness: [[0.8017185  0.19828156]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.25845830394718]
Predicted rank: [0], ambiguousness: [[0.6513718  0.34862822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.94752881502438]
Predicted rank: [0], ambiguousness: [[0.67853725 0.32146278]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.77179254370483]
Predicted rank: [0], ambiguousness: [[0.611275   0.38872498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.28408802114042]
Predicted rank: [0], ambiguousness: [[0.7061974  0.29380262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.40379716072785]
Predicted rank: [0], ambiguousness: [[0.89432114 0.10567885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.16304920926426]
Predicted rank: [0], ambiguousness: [[0.81280565 0.18719432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.33896097772816]
Predicted rank: [0], ambiguousness: [[0.939342   0.06065799]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.4651142629721]
Predicted rank: [0], ambiguousness: [[0.8140294  0.18597059]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.23492306957172]
Predicted rank: [0], ambiguousness: [[0.55283844 0.44716159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.54584066257203]
Predicted rank: [0], ambiguousness: [[0.84951466 0.15048535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.98870179144154]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.831830100478]
Predicted rank: [0], ambiguousness: [[0.77003264 0.22996737]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.59132990200193]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.43354671412385]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.00185255261341]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 105.88714780577962]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.01400477974133]
Predicted rank: [0], ambiguousness: [[0.8651951  0.13480489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.01026768870776]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.19988195141605]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.272269889595]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.36296353255076]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.15202176939223]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.7084821534305]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.83628280188991]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.69587410481861]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.8805939635981]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.01637085575041]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.63305808220886]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.90598580169939]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.26633239003951]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.88428051340341]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.1840031278117]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.30880045367672]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.09076457237262]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.66577327757955]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.79561301450187]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.7100371183054]
Predicted rank: [0], ambiguousness: [[0.8084643 0.1915357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.89475758152699]
Predicted rank: [0], ambiguousness: [[0.93222666 0.06777333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.03030280347593]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.61538181194699]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.95060629033355]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.44180353775982]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.41630835921157]
Predicted rank: [0], ambiguousness: [[0.80432236 0.19567764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.22444439876571]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.12179346060559]
Predicted rank: [0], ambiguousness: [[0.5474328 0.4525672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.43863501804964]
Predicted rank: [0], ambiguousness: [[0.85615647 0.14384355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.89556115075293]
Predicted rank: [0], ambiguousness: [[0.7749076  0.22509244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.78185442946456]
Predicted rank: [0], ambiguousness: [[0.82629824 0.1737018 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.69940532465782]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.12325182723632]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 104.8966752347234]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.48746258713132]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 105.61951918882673]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.57529837365203]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.76140393193387]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.89838354834018]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.47149377787183]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.81085913323163]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.31069180829866]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.30964020408683]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.14308356145061]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.39894646040443]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.74577467467626]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.26448287486411]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.32373697244444]
Predicted rank: [0], ambiguousness: [[0.8080505 0.1919495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.0580419161994]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.58627875312014]
Predicted rank: [0], ambiguousness: [[0.55504036 0.44495964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.21628463720664]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 104.5699186734297]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.10373877052636]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.20692270038157]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.92968646979585]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.84474007341686]
Predicted rank: [0], ambiguousness: [[0.56222415 0.43777582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 103.76088723152381]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.32238765760374]
Predicted rank: [0], ambiguousness: [[0.72877824 0.2712218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 113.0613096206254]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 113.20993503947079]
Predicted rank: [0], ambiguousness: [[0.6694471  0.33055288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 113.30367716044626]
Predicted rank: [0], ambiguousness: [[0.6761526  0.32384744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.72656466990466]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.10730504383653]
Predicted rank: [0], ambiguousness: [[0.7236911 0.2763089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.7393806658614]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.14017007611102]
Predicted rank: [0], ambiguousness: [[0.8105597  0.18944032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.27781013747135]
Predicted rank: [0], ambiguousness: [[0.8333284  0.16667157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.62562235049833]
Predicted rank: [0], ambiguousness: [[0.7324523  0.26754776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.85383934341033]
Predicted rank: [0], ambiguousness: [[0.70456564 0.29543436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 113.0186707051205]
Predicted rank: [0], ambiguousness: [[0.7456775 0.2543225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.40600082745871]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.15040929606138]
Predicted rank: [0], ambiguousness: [[0.6735499  0.32645014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.54854135552041]
Predicted rank: [0], ambiguousness: [[0.64754164 0.3524584 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.61222417131864]
Predicted rank: [0], ambiguousness: [[0.6400963 0.3599037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.64012749865023]
Predicted rank: [0], ambiguousness: [[0.81199455 0.18800545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.26860277580334]
Predicted rank: [0], ambiguousness: [[0.73743117 0.2625688 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.55408981838553]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.06625394704204]
Predicted rank: [0], ambiguousness: [[0.79538083 0.20461914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.21040985413376]
Predicted rank: [0], ambiguousness: [[0.8160056  0.18399441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.55092399056377]
Predicted rank: [0], ambiguousness: [[0.70031166 0.29968837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.52679129039504]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.79161330328198]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.07538690400645]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.15475920463635]
Predicted rank: [0], ambiguousness: [[0.80499375 0.19500627]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.47627541148472]
Predicted rank: [0], ambiguousness: [[0.78389823 0.21610178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.5808173488652]
Predicted rank: [0], ambiguousness: [[0.79767984 0.20232016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.62247868429415]
Predicted rank: [0], ambiguousness: [[0.8941761  0.10582384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.81286543267484]
Predicted rank: [0], ambiguousness: [[0.66607237 0.3339276 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.16360858266538]
Predicted rank: [0], ambiguousness: [[0.6767349  0.32326505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.31006329258075]
Predicted rank: [0], ambiguousness: [[0.73227686 0.26772314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.35105015394606]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.41531906953209]
Predicted rank: [0], ambiguousness: [[0.62891173 0.3710883 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.48818917965248]
Predicted rank: [0], ambiguousness: [[0.8646796  0.13532041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.5222223025076]
Predicted rank: [0], ambiguousness: [[0.6499522  0.35004786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.0544324974282]
Predicted rank: [0], ambiguousness: [[0.75798905 0.24201095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.69701692471617]
Predicted rank: [0], ambiguousness: [[0.7562446 0.2437554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.09902132317188]
Predicted rank: [0], ambiguousness: [[0.8365106  0.16348939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.23679098138797]
Predicted rank: [0], ambiguousness: [[0.8617699  0.13823006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.5843997150376]
Predicted rank: [0], ambiguousness: [[0.77376497 0.22623506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.81575535173346]
Predicted rank: [0], ambiguousness: [[0.73984694 0.26015303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.98058671344361]
Predicted rank: [0], ambiguousness: [[0.7847482  0.21525182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.36791683578184]
Predicted rank: [0], ambiguousness: [[0.7657449  0.23425506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.11232530438451]
Predicted rank: [0], ambiguousness: [[0.73316276 0.26683727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.51045736384354]
Predicted rank: [0], ambiguousness: [[0.69594073 0.3040593 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.57414017964176]
Predicted rank: [0], ambiguousness: [[0.6979171 0.3020829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.60204350697336]
Predicted rank: [0], ambiguousness: [[0.8374072  0.16259283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.05389992107212]
Predicted rank: [0], ambiguousness: [[0.7546203  0.24537966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.30015347273326]
Predicted rank: [0], ambiguousness: [[0.7561642  0.24383584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.86871072428448]
Predicted rank: [0], ambiguousness: [[0.82725006 0.17274992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.01798628260113]
Predicted rank: [0], ambiguousness: [[0.85188085 0.14811915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.35077927837806]
Predicted rank: [0], ambiguousness: [[0.76139694 0.23860307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.35763026653603]
Predicted rank: [0], ambiguousness: [[0.663761   0.33623898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.63064135933953]
Predicted rank: [0], ambiguousness: [[0.758434   0.24156602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.9070657605615]
Predicted rank: [0], ambiguousness: [[0.7577255 0.2422745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.01314827832047]
Predicted rank: [0], ambiguousness: [[0.85222065 0.14777935]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.32951121544957]
Predicted rank: [0], ambiguousness: [[0.83123714 0.16876286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.43682049293619]
Predicted rank: [0], ambiguousness: [[0.84929335 0.15070666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.47938028967076]
Predicted rank: [0], ambiguousness: [[0.91609    0.08391001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.7304176678287]
Predicted rank: [0], ambiguousness: [[0.7056909  0.29430908]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.08016391333936]
Predicted rank: [0], ambiguousness: [[0.73193777 0.2680622 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.22749405661769]
Predicted rank: [0], ambiguousness: [[0.7768419  0.22315815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.26865299187921]
Predicted rank: [0], ambiguousness: [[0.9079642  0.09203575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.33353025503689]
Predicted rank: [0], ambiguousness: [[0.690592 0.309408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.40666881345487]
Predicted rank: [0], ambiguousness: [[0.8833798  0.11662017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.44099084315616]
Predicted rank: [0], ambiguousness: [[0.68943536 0.3105646 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.50511890717425]
Predicted rank: [0], ambiguousness: [[0.75454974 0.24545026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.03647601951795]
Predicted rank: [0], ambiguousness: [[0.8761762  0.12382381]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.1809575305065]
Predicted rank: [0], ambiguousness: [[0.8519493  0.14805074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.5210740088863]
Predicted rank: [0], ambiguousness: [[0.7637031 0.2362969]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.12285168123128]
Predicted rank: [0], ambiguousness: [[0.6563591 0.3436409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.43880947095852]
Predicted rank: [0], ambiguousness: [[0.7568787  0.24312134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.69447417029642]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.9352476603325]
Predicted rank: [0], ambiguousness: [[0.82787424 0.17212576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.24356269771405]
Predicted rank: [0], ambiguousness: [[0.8086656  0.19133443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.35775937095548]
Predicted rank: [0], ambiguousness: [[0.8252175  0.17478254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.40237336864955]
Predicted rank: [0], ambiguousness: [[0.91113734 0.08886265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.3538721203508]
Predicted rank: [0], ambiguousness: [[0.6227975 0.3772025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.58222291894046]
Predicted rank: [0], ambiguousness: [[0.6340828 0.3659172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.83871867846827]
Predicted rank: [0], ambiguousness: [[0.74547607 0.25452393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.90575902793049]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.20032131733598]
Predicted rank: [0], ambiguousness: [[0.81779736 0.18220265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30793509930737]
Predicted rank: [0], ambiguousness: [[0.93729997 0.06270003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.37792984593136]
Predicted rank: [0], ambiguousness: [[0.839494   0.16050604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.89226213672919]
Predicted rank: [0], ambiguousness: [[0.6832478  0.31675217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.00048152169494]
Predicted rank: [0], ambiguousness: [[0.9047316  0.09526842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.11633497754528]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.20875902935603]
Predicted rank: [0], ambiguousness: [[0.6879698  0.31203017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.9872810274315]
Predicted rank: [0], ambiguousness: [[0.75351256 0.24648742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.23723690121699]
Predicted rank: [0], ambiguousness: [[0.78163385 0.21836618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81520144061282]
Predicted rank: [0], ambiguousness: [[0.8368434  0.16315661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.96510851152162]
Predicted rank: [0], ambiguousness: [[0.8652876 0.1347124]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.2970621702354]
Predicted rank: [0], ambiguousness: [[0.78121656 0.21878342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31489154133253]
Predicted rank: [0], ambiguousness: [[0.6949893  0.30501065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.5883851511679]
Predicted rank: [0], ambiguousness: [[0.7907394  0.20926055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.86444832228538]
Predicted rank: [0], ambiguousness: [[0.79041886 0.2095811 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.97212164416845]
Predicted rank: [0], ambiguousness: [[0.8733816  0.12661837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.28826154833843]
Predicted rank: [0], ambiguousness: [[0.84642565 0.15357435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.39570236412789]
Predicted rank: [0], ambiguousness: [[0.8679911  0.13200891]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.43830329191803]
Predicted rank: [0], ambiguousness: [[0.9236851  0.07631491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.69253856672765]
Predicted rank: [0], ambiguousness: [[0.7426566  0.25734338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.04228481223831]
Predicted rank: [0], ambiguousness: [[0.7670412  0.23295878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.18961495551663]
Predicted rank: [0], ambiguousness: [[0.81402576 0.18597423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.23077389077817]
Predicted rank: [0], ambiguousness: [[0.9217919  0.07820806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.29565115393584]
Predicted rank: [0], ambiguousness: [[0.75035304 0.24964696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.36878971235382]
Predicted rank: [0], ambiguousness: [[0.90049636 0.09950364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.4031117420551]
Predicted rank: [0], ambiguousness: [[0.71928763 0.28071234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.21033878797093]
Predicted rank: [0], ambiguousness: [[0.78771013 0.21228985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.8146777562778]
Predicted rank: [0], ambiguousness: [[0.85236686 0.14763312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.96456991216374]
Predicted rank: [0], ambiguousness: [[0.8544571  0.14554292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.29661014290511]
Predicted rank: [0], ambiguousness: [[0.7672974  0.23270258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.84273942135428]
Predicted rank: [0], ambiguousness: [[0.70319617 0.2968038 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.18091040892457]
Predicted rank: [0], ambiguousness: [[0.7902739  0.20972607]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.42169626549833]
Predicted rank: [0], ambiguousness: [[0.78963304 0.210367  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73459396339908]
Predicted rank: [0], ambiguousness: [[0.85741836 0.14258163]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.0344704904344]
Predicted rank: [0], ambiguousness: [[0.8370318  0.16296823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.1538731838472]
Predicted rank: [0], ambiguousness: [[0.85795057 0.14204946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.20015250836]
Predicted rank: [0], ambiguousness: [[0.9246566  0.07534338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.18118487761504]
Predicted rank: [0], ambiguousness: [[0.66649497 0.33350506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.40075675948299]
Predicted rank: [0], ambiguousness: [[0.6947253  0.30527475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.66642431070974]
Predicted rank: [0], ambiguousness: [[0.7896208  0.21037918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.73534175163844]
Predicted rank: [0], ambiguousness: [[0.9245587  0.07544129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.04975098296869]
Predicted rank: [0], ambiguousness: [[0.8608263  0.13917369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.15961365656568]
Predicted rank: [0], ambiguousness: [[0.94678473 0.05321526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.23204497087937]
Predicted rank: [0], ambiguousness: [[0.86743385 0.13256614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.80817679869617]
Predicted rank: [0], ambiguousness: [[0.73433924 0.26566076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.91688625597159]
Predicted rank: [0], ambiguousness: [[0.92146283 0.07853715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.03357830314376]
Predicted rank: [0], ambiguousness: [[0.8324422  0.16755776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.12676604254005]
Predicted rank: [0], ambiguousness: [[0.7330879  0.26691207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.06662187767444]
Predicted rank: [0], ambiguousness: [[0.7159445 0.2840555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.3891815292285]
Predicted rank: [0], ambiguousness: [[0.7879179  0.21208207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.64225124937947]
Predicted rank: [0], ambiguousness: [[0.77849203 0.22150795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.90544435787726]
Predicted rank: [0], ambiguousness: [[0.873766   0.12623401]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.21333466746547]
Predicted rank: [0], ambiguousness: [[0.8775761  0.12242386]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.32786125077538]
Predicted rank: [0], ambiguousness: [[0.8509201  0.14907993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.37259727602753]
Predicted rank: [0], ambiguousness: [[0.93217325 0.06782672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.93007715510092]
Predicted rank: [0], ambiguousness: [[0.66460943 0.33539054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.12259516075662]
Predicted rank: [0], ambiguousness: [[0.67529595 0.32470402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.43925014296599]
Predicted rank: [0], ambiguousness: [[0.77852523 0.22147475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.51552237951893]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.95502517459579]
Predicted rank: [0], ambiguousness: [[0.8297142  0.17028582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.07043652774024]
Predicted rank: [0], ambiguousness: [[0.9438117  0.05618828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.1492375468113]
Predicted rank: [0], ambiguousness: [[0.85370886 0.14629117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.20069833804911]
Predicted rank: [0], ambiguousness: [[0.64257675 0.35742325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.3731928581616]
Predicted rank: [0], ambiguousness: [[0.89121735 0.10878265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.59195746473159]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.94712429033797]
Predicted rank: [0], ambiguousness: [[0.83253515 0.16746488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.64551584444425]
Predicted rank: [0], ambiguousness: [[0.7274962 0.2725038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.12624200976408]
Predicted rank: [0], ambiguousness: [[0.7715879 0.2284121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.74782000377056]
Predicted rank: [0], ambiguousness: [[0.8526801  0.14731994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.89845222190914]
Predicted rank: [0], ambiguousness: [[0.8527716  0.14722842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.22951995644362]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.7764379347243]
Predicted rank: [0], ambiguousness: [[0.70251507 0.29748493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.1181465672628]
Predicted rank: [0], ambiguousness: [[0.79399264 0.20600739]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.35693737938159]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.68142935204641]
Predicted rank: [0], ambiguousness: [[0.877134 0.122866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.98038830177401]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.10044222047893]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14692849765518]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.13899131634479]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.35812043321434]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.62433977928617]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.69335794453714]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.00906841747565]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.11903564704485]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.19158436601603]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.77104743352484]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.87975689080028]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.99644893797245]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.08963667736873]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.73979039463856]
Predicted rank: [0], ambiguousness: [[0.6954826  0.30451742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.09023557188641]
Predicted rank: [0], ambiguousness: [[0.7855705  0.21442947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.32616976947813]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.68087494539613]
Predicted rank: [0], ambiguousness: [[0.86650014 0.13349983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.97994735486412]
Predicted rank: [0], ambiguousness: [[0.8500848 0.1499152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.09997492158405]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14648518088471]
Predicted rank: [0], ambiguousness: [[0.9278579  0.07214215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.64151899896702]
Predicted rank: [0], ambiguousness: [[0.6621068 0.3378932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.81559844996382]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.15794083709582]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.23861841277625]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.73937247094906]
Predicted rank: [0], ambiguousness: [[0.8602165 0.1397835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.85906757119895]
Predicted rank: [0], ambiguousness: [[0.94756496 0.05243501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.94252101238682]
Predicted rank: [0], ambiguousness: [[0.86998117 0.13001883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.01173527491984]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.18910322566221]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.41663455372465]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.7942434870493]
Predicted rank: [0], ambiguousness: [[0.8599545  0.14004555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.56155513306513]
Predicted rank: [0], ambiguousness: [[0.72418743 0.27581257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.87228571935331]
Predicted rank: [0], ambiguousness: [[0.65158904 0.348411  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.06123499515483]
Predicted rank: [0], ambiguousness: [[0.6949569  0.30504307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.38584955842347]
Predicted rank: [0], ambiguousness: [[0.77412105 0.22587897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.46311571521025]
Predicted rank: [0], ambiguousness: [[0.9208499 0.0791501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.92503654940381]
Predicted rank: [0], ambiguousness: [[0.86996794 0.13003209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.04077878885278]
Predicted rank: [0], ambiguousness: [[0.9604923  0.03950767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11987012118327]
Predicted rank: [0], ambiguousness: [[0.87065417 0.12934582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.69753078805809]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.89842864843425]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.1768734448632]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.69338707809493]
Predicted rank: [0], ambiguousness: [[0.8373774  0.16262259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.87222767184676]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.65079959297648]
Predicted rank: [0], ambiguousness: [[0.6795439 0.3204561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.00752436956554]
Predicted rank: [0], ambiguousness: [[0.77280676 0.22719322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.24044184307483]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.6158448560337]
Predicted rank: [0], ambiguousness: [[0.84888417 0.15111583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.91385849835072]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.03464642544843]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.08140454697141]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.57612834329879]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.74766789704097]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.0941560357056]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.17548719898292]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.68669374661994]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80693375926927]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.89097564652616]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.97093356908789]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.14857567068903]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.37664268645847]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.75570930284653]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.52671004090666]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.53650062371463]
Predicted rank: [0], ambiguousness: [[0.6602092  0.33979082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.70391313727478]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.06104768176061]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14358072223988]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.68611684016986]
Predicted rank: [0], ambiguousness: [[0.8555056  0.14449441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80643806821823]
Predicted rank: [0], ambiguousness: [[0.95324457 0.04675545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.8904415475017]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.37245417765409]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.58597629040516]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.88957605752876]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.47454955060367]
Predicted rank: [0], ambiguousness: [[0.8521949 0.1478051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.67943741737781]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.63330021108393]
Predicted rank: [0], ambiguousness: [[0.62917817 0.3708218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.83757398578204]
Predicted rank: [0], ambiguousness: [[0.8981889  0.10181113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.12404534204595]
Predicted rank: [0], ambiguousness: [[0.8284415 0.1715585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.66527330851301]
Predicted rank: [0], ambiguousness: [[0.86966556 0.13033444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.34082312949332]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.45397859278633]
Predicted rank: [0], ambiguousness: [[0.643371   0.35662898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.61756373422162]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.9819178700732]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.06546673486469]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.6269707452491]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.74792599208638]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.83259083213593]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.30958374837675]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.52500294705098]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.83256828172136]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.42878345405896]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.64549248780452]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.25745238705795]
Predicted rank: [0], ambiguousness: [[0.6359502  0.36404982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.47722909503153]
Predicted rank: [0], ambiguousness: [[0.8904334  0.10956662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.79568811555225]
Predicted rank: [0], ambiguousness: [[0.8279617  0.17203835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.42657495763535]
Predicted rank: [0], ambiguousness: [[0.85439855 0.14560144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.00746006013784]
Predicted rank: [0], ambiguousness: [[0.6437398 0.3562602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.27875258434989]
Predicted rank: [0], ambiguousness: [[0.6379843  0.36201572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.21145641213337]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.43330214289585]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.75645664359966]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.40115730489624]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.98119120350621]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.9153089097365]
Predicted rank: [0], ambiguousness: [[0.6415703  0.35842967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.04896084770056]
Predicted rank: [0], ambiguousness: [[0.6441425  0.35585746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.05438556981994]
Predicted rank: [0], ambiguousness: [[0.7659405 0.2340595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.69696999710791]
Predicted rank: [0], ambiguousness: [[0.7750035 0.2249965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.09897439556363]
Predicted rank: [0], ambiguousness: [[0.852756   0.14724398]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.23674405377972]
Predicted rank: [0], ambiguousness: [[0.8669103 0.1330897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.58435278742934]
Predicted rank: [0], ambiguousness: [[0.77944636 0.22055365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.8157084241252]
Predicted rank: [0], ambiguousness: [[0.76928234 0.23071766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.98053978583536]
Predicted rank: [0], ambiguousness: [[0.80188817 0.19811183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.36786990817356]
Predicted rank: [0], ambiguousness: [[0.78398156 0.21601842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.11227837677625]
Predicted rank: [0], ambiguousness: [[0.7531181  0.24688189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.51041043623528]
Predicted rank: [0], ambiguousness: [[0.728521 0.271479]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.57409325203349]
Predicted rank: [0], ambiguousness: [[0.7194998  0.28050014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.60199657936508]
Predicted rank: [0], ambiguousness: [[0.8511494  0.14885062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.05385299346386]
Predicted rank: [0], ambiguousness: [[0.7402334 0.2597666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.30010654512499]
Predicted rank: [0], ambiguousness: [[0.7684666  0.23153341]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.86866379667622]
Predicted rank: [0], ambiguousness: [[0.835887   0.16411297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.01793935499285]
Predicted rank: [0], ambiguousness: [[0.8527832  0.14721678]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.35073235076979]
Predicted rank: [0], ambiguousness: [[0.762697 0.237303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.35758333892777]
Predicted rank: [0], ambiguousness: [[0.69051254 0.3094875 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.63059443173128]
Predicted rank: [0], ambiguousness: [[0.77065665 0.22934337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.90701883295324]
Predicted rank: [0], ambiguousness: [[0.76997316 0.23002684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.0131013507122]
Predicted rank: [0], ambiguousness: [[0.85629296 0.143707  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.32946428784132]
Predicted rank: [0], ambiguousness: [[0.84312135 0.15687865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.43677356532791]
Predicted rank: [0], ambiguousness: [[0.85020876 0.14979126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.47933336206249]
Predicted rank: [0], ambiguousness: [[0.9157878  0.08421217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.73037074022044]
Predicted rank: [0], ambiguousness: [[0.71959555 0.28040442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.08011698573108]
Predicted rank: [0], ambiguousness: [[0.75526506 0.24473493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.22744712900942]
Predicted rank: [0], ambiguousness: [[0.78839296 0.21160705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.26860606427094]
Predicted rank: [0], ambiguousness: [[0.9134841  0.08651593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.33348332742861]
Predicted rank: [0], ambiguousness: [[0.7049117  0.29508826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.4066218858466]
Predicted rank: [0], ambiguousness: [[0.8954115  0.10458854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.4409439155479]
Predicted rank: [0], ambiguousness: [[0.70378566 0.29621434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.50507197956597]
Predicted rank: [0], ambiguousness: [[0.7740593  0.22594067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.0364290919097]
Predicted rank: [0], ambiguousness: [[0.8949394  0.10506057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.18091060289825]
Predicted rank: [0], ambiguousness: [[0.85785425 0.14214578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.52102708127804]
Predicted rank: [0], ambiguousness: [[0.77218664 0.22781338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.12280475362302]
Predicted rank: [0], ambiguousness: [[0.70958364 0.2904164 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.43876254335026]
Predicted rank: [0], ambiguousness: [[0.776258 0.223742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.69442724268816]
Predicted rank: [0], ambiguousness: [[0.7664675  0.23353247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.93520073272421]
Predicted rank: [0], ambiguousness: [[0.834553 0.165447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.24351577010577]
Predicted rank: [0], ambiguousness: [[0.83574104 0.16425896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.35771244334721]
Predicted rank: [0], ambiguousness: [[0.8319784  0.16802162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.40232644104128]
Predicted rank: [0], ambiguousness: [[0.91491735 0.08508266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.35382519274253]
Predicted rank: [0], ambiguousness: [[0.6478926 0.3521074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.5821759913322]
Predicted rank: [0], ambiguousness: [[0.6891234  0.31087664]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.83867175086]
Predicted rank: [0], ambiguousness: [[0.7654827  0.23451728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.90571210032223]
Predicted rank: [0], ambiguousness: [[0.9192945  0.08070555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.20027438972772]
Predicted rank: [0], ambiguousness: [[0.82844484 0.17155515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30788817169912]
Predicted rank: [0], ambiguousness: [[0.9486168  0.05138318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.37788291832311]
Predicted rank: [0], ambiguousness: [[0.8458058  0.15419419]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.89221520912093]
Predicted rank: [0], ambiguousness: [[0.70621824 0.29378176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.00043459408667]
Predicted rank: [0], ambiguousness: [[0.9239447 0.0760553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.11628804993701]
Predicted rank: [0], ambiguousness: [[0.8214013  0.17859872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.20871210174778]
Predicted rank: [0], ambiguousness: [[0.71074283 0.28925717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.98702813445308]
Predicted rank: [0], ambiguousness: [[0.7447811  0.25521892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.23698400823858]
Predicted rank: [0], ambiguousness: [[0.77063483 0.22936518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.8149485476344]
Predicted rank: [0], ambiguousness: [[0.8303993 0.1696007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.9648556185432]
Predicted rank: [0], ambiguousness: [[0.8597787  0.14022131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.29680927725701]
Predicted rank: [0], ambiguousness: [[0.773171   0.22682899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.3146386483541]
Predicted rank: [0], ambiguousness: [[0.68140495 0.31859508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.58813225818949]
Predicted rank: [0], ambiguousness: [[0.78007    0.21992998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.86419542930696]
Predicted rank: [0], ambiguousness: [[0.77973765 0.22026233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.97186875119004]
Predicted rank: [0], ambiguousness: [[0.8710494 0.1289506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.28800865536002]
Predicted rank: [0], ambiguousness: [[0.8436858  0.15631421]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.39544947114948]
Predicted rank: [0], ambiguousness: [[0.8625752  0.13742483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.43805039893962]
Predicted rank: [0], ambiguousness: [[0.9209478  0.07905219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.69228567374924]
Predicted rank: [0], ambiguousness: [[0.73037153 0.26962847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.0420319192599]
Predicted rank: [0], ambiguousness: [[0.75553703 0.24446297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.18936206253822]
Predicted rank: [0], ambiguousness: [[0.8042497 0.1957503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.23052099779974]
Predicted rank: [0], ambiguousness: [[0.91856337 0.08143666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.29539826095741]
Predicted rank: [0], ambiguousness: [[0.7383059 0.2616941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.36853681937541]
Predicted rank: [0], ambiguousness: [[0.89648736 0.10351265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.4028588490767]
Predicted rank: [0], ambiguousness: [[0.70632815 0.29367185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.21008589499252]
Predicted rank: [0], ambiguousness: [[0.770018   0.22998205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81442486329942]
Predicted rank: [0], ambiguousness: [[0.84122473 0.15877526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.96431701918533]
Predicted rank: [0], ambiguousness: [[0.8434437  0.15655631]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.29635724992671]
Predicted rank: [0], ambiguousness: [[0.7516059  0.24839409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.84248652837589]
Predicted rank: [0], ambiguousness: [[0.6813102  0.31868982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.18065751594617]
Predicted rank: [0], ambiguousness: [[0.77273375 0.22726625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.42144337251992]
Predicted rank: [0], ambiguousness: [[0.7720547  0.22794536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.7343410704207]
Predicted rank: [0], ambiguousness: [[0.84658885 0.15341112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.034217597456]
Predicted rank: [0], ambiguousness: [[0.82496995 0.17503007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.1536202908688]
Predicted rank: [0], ambiguousness: [[0.8471542  0.15284579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.1998996153816]
Predicted rank: [0], ambiguousness: [[0.9198862  0.08011384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.18093198463664]
Predicted rank: [0], ambiguousness: [[0.6432755 0.3567245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.40050386650458]
Predicted rank: [0], ambiguousness: [[0.6725055 0.3274945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.66617141773133]
Predicted rank: [0], ambiguousness: [[0.77204174 0.22795826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.73508885866005]
Predicted rank: [0], ambiguousness: [[0.9185307 0.0814693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.0494980899903]
Predicted rank: [0], ambiguousness: [[0.85343415 0.14656587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.15936076358729]
Predicted rank: [0], ambiguousness: [[0.94467956 0.05532047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.23179207790098]
Predicted rank: [0], ambiguousness: [[0.8572384  0.14276162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.80792390571776]
Predicted rank: [0], ambiguousness: [[0.7138151 0.2861849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.91663336299318]
Predicted rank: [0], ambiguousness: [[0.9152102  0.08478983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.03332541016536]
Predicted rank: [0], ambiguousness: [[0.8176148  0.18238519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.12651314956163]
Predicted rank: [0], ambiguousness: [[0.712505   0.28749505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.06636898469603]
Predicted rank: [0], ambiguousness: [[0.69459033 0.3054097 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.38892863625009]
Predicted rank: [0], ambiguousness: [[0.7702379  0.22976205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.64199835640105]
Predicted rank: [0], ambiguousness: [[0.7602654 0.2397346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.90519146489885]
Predicted rank: [0], ambiguousness: [[0.8639811  0.13601886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.21308177448707]
Predicted rank: [0], ambiguousness: [[0.86804205 0.13195795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.32760835779698]
Predicted rank: [0], ambiguousness: [[0.83968925 0.16031072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.37234438304911]
Predicted rank: [0], ambiguousness: [[0.9278416 0.0721584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.92982426212251]
Predicted rank: [0], ambiguousness: [[0.6413294  0.35867062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.12234226777822]
Predicted rank: [0], ambiguousness: [[0.65236974 0.3476303 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.43899724998758]
Predicted rank: [0], ambiguousness: [[0.7603005 0.2396995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.51526948654052]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.95477228161738]
Predicted rank: [0], ambiguousness: [[0.817229   0.18277104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.07018363476183]
Predicted rank: [0], ambiguousness: [[0.94017565 0.05982437]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.14898465383288]
Predicted rank: [0], ambiguousness: [[0.8426493  0.15735073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.20044544507068]
Predicted rank: [0], ambiguousness: [[0.6186449 0.3813551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.37293996518318]
Predicted rank: [0], ambiguousness: [[0.8828628  0.11713721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.59170457175318]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.94687139735956]
Predicted rank: [0], ambiguousness: [[0.8239476  0.17605239]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.64526295146582]
Predicted rank: [0], ambiguousness: [[0.70665455 0.29334542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.12523892737352]
Predicted rank: [0], ambiguousness: [[0.7419865  0.25801352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.74681692137997]
Predicted rank: [0], ambiguousness: [[0.8085305  0.19146948]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.89744913951859]
Predicted rank: [0], ambiguousness: [[0.8111038  0.18889621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.22851687405306]
Predicted rank: [0], ambiguousness: [[0.71587044 0.28412956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.77543485233373]
Predicted rank: [0], ambiguousness: [[0.66426146 0.3357385 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.11714348487223]
Predicted rank: [0], ambiguousness: [[0.7664158  0.23358424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.35593429699102]
Predicted rank: [0], ambiguousness: [[0.76606894 0.23393106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.68042626965585]
Predicted rank: [0], ambiguousness: [[0.8410762  0.15892382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.97938521938345]
Predicted rank: [0], ambiguousness: [[0.8087487  0.19125126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.09943913808837]
Predicted rank: [0], ambiguousness: [[0.8383212  0.16167879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14592541526463]
Predicted rank: [0], ambiguousness: [[0.90629447 0.09370555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.13798823395422]
Predicted rank: [0], ambiguousness: [[0.6350582  0.36494178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.35711735082377]
Predicted rank: [0], ambiguousness: [[0.66503984 0.33496016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.62333669689562]
Predicted rank: [0], ambiguousness: [[0.773468   0.22653198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.69235486214657]
Predicted rank: [0], ambiguousness: [[0.9109865  0.08901352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.00806533508509]
Predicted rank: [0], ambiguousness: [[0.8536737  0.14632633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.1180325646543]
Predicted rank: [0], ambiguousness: [[0.9349969  0.06500312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.19058128362548]
Predicted rank: [0], ambiguousness: [[0.8375755  0.16242452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.77004435113429]
Predicted rank: [0], ambiguousness: [[0.7154714  0.28452858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.87875380840971]
Predicted rank: [0], ambiguousness: [[0.90738946 0.09261053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.99544585558189]
Predicted rank: [0], ambiguousness: [[0.8057792  0.19422075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.08863359497816]
Predicted rank: [0], ambiguousness: [[0.7106832  0.28931674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.73878731224798]
Predicted rank: [0], ambiguousness: [[0.66560394 0.33439606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.08923248949583]
Predicted rank: [0], ambiguousness: [[0.76439    0.23561001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.32516668708757]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.67987186300556]
Predicted rank: [0], ambiguousness: [[0.8334815  0.16651851]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.97894427247356]
Predicted rank: [0], ambiguousness: [[0.8114455  0.18855454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.09897183919347]
Predicted rank: [0], ambiguousness: [[0.81077206 0.18922791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14548209849414]
Predicted rank: [0], ambiguousness: [[0.91123855 0.08876144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.64051591657645]
Predicted rank: [0], ambiguousness: [[0.63440657 0.36559346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.81459536757325]
Predicted rank: [0], ambiguousness: [[0.6639836 0.3360164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.15693775470524]
Predicted rank: [0], ambiguousness: [[0.7652057  0.23479433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.2376153303857]
Predicted rank: [0], ambiguousness: [[0.9140999  0.08590011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.7383693885585]
Predicted rank: [0], ambiguousness: [[0.82595587 0.17404413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.85806448880838]
Predicted rank: [0], ambiguousness: [[0.93174374 0.06825625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.94151792999625]
Predicted rank: [0], ambiguousness: [[0.8376622  0.16233781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.01073219252928]
Predicted rank: [0], ambiguousness: [[0.6250192  0.37498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.18810014327164]
Predicted rank: [0], ambiguousness: [[0.8761588  0.12384123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.41563147133408]
Predicted rank: [0], ambiguousness: [[0.8118123  0.18818773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.79324040465875]
Predicted rank: [0], ambiguousness: [[0.8292889  0.17071112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.56055205067454]
Predicted rank: [0], ambiguousness: [[0.6992649  0.30073515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.87128263696275]
Predicted rank: [0], ambiguousness: [[0.6235167 0.3764833]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.06023191276427]
Predicted rank: [0], ambiguousness: [[0.6650516 0.3349484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.38484647603292]
Predicted rank: [0], ambiguousness: [[0.75216633 0.24783365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.4621126328197]
Predicted rank: [0], ambiguousness: [[0.9142675  0.08573254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.92403346701323]
Predicted rank: [0], ambiguousness: [[0.83764625 0.16235375]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.0397757064622]
Predicted rank: [0], ambiguousness: [[0.9483591  0.05164091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.1188670387927]
Predicted rank: [0], ambiguousness: [[0.8384714  0.16152857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.69652770566753]
Predicted rank: [0], ambiguousness: [[0.6095352  0.39046478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.89742556604367]
Predicted rank: [0], ambiguousness: [[0.8767525  0.12324753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.17587036247264]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.69238399570438]
Predicted rank: [0], ambiguousness: [[0.7988281 0.2011719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.8712245894562]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.64746497432758]
Predicted rank: [0], ambiguousness: [[0.64804804 0.351952  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.00419525090801]
Predicted rank: [0], ambiguousness: [[0.7470654  0.25293458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.23711023933978]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.61253151498778]
Predicted rank: [0], ambiguousness: [[0.8211164  0.17888361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.91054441481558]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.031332890913]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.07809119589751]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.57281926104085]
Predicted rank: [0], ambiguousness: [[0.63962865 0.36037138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.74435703608324]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.09084818167894]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.1721798114695]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.68339411425453]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80363449684828]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88767677406352]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.9676438412468]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.14528605233626]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.37335328637928]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.75242049298186]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.52342262994404]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.53326421394138]
Predicted rank: [0], ambiguousness: [[0.62785363 0.37214634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.70067672750153]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.05781127198736]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.14034431246662]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.6828804303966]
Predicted rank: [0], ambiguousness: [[0.828709   0.17129102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80320165844498]
Predicted rank: [0], ambiguousness: [[0.943374   0.05662604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88720513772843]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.36921776788083]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.58273988063189]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.88633964775548]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.4713131408304]
Predicted rank: [0], ambiguousness: [[0.82491    0.17509001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.67620100760455]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.63006380131067]
Predicted rank: [0], ambiguousness: [[0.5956774 0.4043226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.83433757600878]
Predicted rank: [0], ambiguousness: [[0.88453084 0.11546916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.12080893227268]
Predicted rank: [0], ambiguousness: [[0.8074329  0.19256711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.66203689873974]
Predicted rank: [0], ambiguousness: [[0.8450192  0.15498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.33758671972004]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.44193213591385]
Predicted rank: [0], ambiguousness: [[0.61035836 0.38964164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.60538401956033]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.96998653871908]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.05357057757685]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.61572762644983]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.73670512039745]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.82139312064189]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.29820844840961]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.51369267088882]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.82139331028017]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.41799173849417]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.63507481710798]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.24803140951083]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.46783256918155]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.78634380341471]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.41737931981751]
Predicted rank: [0], ambiguousness: [[0.8283296  0.17167038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.99815607530164]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.26995092474135]
Predicted rank: [0], ambiguousness: [[0.60306203 0.396938  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.15668536982895]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.37972906055496]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.70545399013236]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.35749610134425]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.93322691886559]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.87683601300925]
Predicted rank: [0], ambiguousness: [[0.6100153 0.3899847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.82871224684517]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.98703441674016]
Predicted rank: [0], ambiguousness: [[0.71778595 0.28221408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.23699029015134]
Predicted rank: [0], ambiguousness: [[0.73374283 0.2662572 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81495482923427]
Predicted rank: [0], ambiguousness: [[0.8101518 0.1898482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.96486190012465]
Predicted rank: [0], ambiguousness: [[0.84237283 0.15762718]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.29681555886214]
Predicted rank: [0], ambiguousness: [[0.74816334 0.25183663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.31464492954638]
Predicted rank: [0], ambiguousness: [[0.6369227  0.36307725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.58813853937427]
Predicted rank: [0], ambiguousness: [[0.7441919  0.25580812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.864201710497]
Predicted rank: [0], ambiguousness: [[0.7438232  0.25617686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.97187503235581]
Predicted rank: [0], ambiguousness: [[0.85160756 0.14839245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.2880149365289]
Predicted rank: [0], ambiguousness: [[0.8209663 0.1790337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.39545575231648]
Predicted rank: [0], ambiguousness: [[0.84545404 0.15454595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.43805668010606]
Predicted rank: [0], ambiguousness: [[0.9067941  0.09320591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.69229195487065]
Predicted rank: [0], ambiguousness: [[0.6896119  0.31038812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.04203820038131]
Predicted rank: [0], ambiguousness: [[0.71710813 0.28289187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.18936834365965]
Predicted rank: [0], ambiguousness: [[0.771159   0.22884102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.23052727892117]
Predicted rank: [0], ambiguousness: [[0.89761126 0.10238871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.29540454207884]
Predicted rank: [0], ambiguousness: [[0.6982502  0.30174986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.36854310049682]
Predicted rank: [0], ambiguousness: [[0.87065536 0.12934464]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.40286513019812]
Predicted rank: [0], ambiguousness: [[0.66360784 0.33639213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.21009217356604]
Predicted rank: [0], ambiguousness: [[0.73306113 0.26693887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81443114187294]
Predicted rank: [0], ambiguousness: [[0.8219926  0.17800742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.96432329775885]
Predicted rank: [0], ambiguousness: [[0.8244242  0.17557581]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.29636352850025]
Predicted rank: [0], ambiguousness: [[0.7250662  0.27493382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.8424928069494]
Predicted rank: [0], ambiguousness: [[0.63682187 0.36317816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.1806637945197]
Predicted rank: [0], ambiguousness: [[0.7360637  0.26393625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.42144965109344]
Predicted rank: [0], ambiguousness: [[0.7353126 0.2646874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.73434734899422]
Predicted rank: [0], ambiguousness: [[0.8278735  0.17212646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.03422387602953]
Predicted rank: [0], ambiguousness: [[0.8042271  0.19577292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.15362656944232]
Predicted rank: [0], ambiguousness: [[0.82849383 0.17150614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.19990589395512]
Predicted rank: [0], ambiguousness: [[0.90460885 0.09539116]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.18093826321017]
Predicted rank: [0], ambiguousness: [[0.59662116 0.4033788 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.40051014507812]
Predicted rank: [0], ambiguousness: [[0.6274601  0.37253985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.66617769630486]
Predicted rank: [0], ambiguousness: [[0.73529834 0.26470166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.73509513723357]
Predicted rank: [0], ambiguousness: [[0.8975712  0.10242882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.04950436856382]
Predicted rank: [0], ambiguousness: [[0.83184916 0.16815086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.15936704216082]
Predicted rank: [0], ambiguousness: [[0.93219316 0.06780685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.23179835647451]
Predicted rank: [0], ambiguousness: [[0.839576   0.16042398]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.80793018429128]
Predicted rank: [0], ambiguousness: [[0.6716777 0.3283223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.9166396415667]
Predicted rank: [0], ambiguousness: [[0.89349544 0.10650459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.03333168873888]
Predicted rank: [0], ambiguousness: [[0.7861827  0.21381728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.12651942813515]
Predicted rank: [0], ambiguousness: [[0.67026377 0.32973623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.06637526326955]
Predicted rank: [0], ambiguousness: [[0.6510061  0.34899387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.38893491482361]
Predicted rank: [0], ambiguousness: [[0.73330426 0.26669574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.64200463497458]
Predicted rank: [0], ambiguousness: [[0.7223066  0.27769342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.90519774347239]
Predicted rank: [0], ambiguousness: [[0.8470041  0.15299588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.2130880530606]
Predicted rank: [0], ambiguousness: [[0.8514848  0.14851525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.3276146363705]
Predicted rank: [0], ambiguousness: [[0.82031083 0.17968915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.37235066162265]
Predicted rank: [0], ambiguousness: [[0.9139394  0.08606058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.92983054069603]
Predicted rank: [0], ambiguousness: [[0.59458095 0.40541905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.12234854635176]
Predicted rank: [0], ambiguousness: [[0.6061766 0.3938234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.43900352856112]
Predicted rank: [0], ambiguousness: [[0.72234523 0.2776548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.51527576511407]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.9547785601909]
Predicted rank: [0], ambiguousness: [[0.79579586 0.20420414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.07018991333537]
Predicted rank: [0], ambiguousness: [[0.92846656 0.07153347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.14899093240643]
Predicted rank: [0], ambiguousness: [[0.82355344 0.17644654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.20045172364422]
Predicted rank: [0], ambiguousness: [[0.5709179 0.4290821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.37294624375673]
Predicted rank: [0], ambiguousness: [[0.8541838  0.14581622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.59171085032672]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.94687767593308]
Predicted rank: [0], ambiguousness: [[0.7990426  0.20095743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.64526923003936]
Predicted rank: [0], ambiguousness: [[0.6639592 0.3360408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.12503171512826]
Predicted rank: [0], ambiguousness: [[0.7022294  0.29777065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.74660970841309]
Predicted rank: [0], ambiguousness: [[0.7990609 0.2009391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.89724192652761]
Predicted rank: [0], ambiguousness: [[0.80173016 0.19826981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.22830966109272]
Predicted rank: [0], ambiguousness: [[0.7034986 0.2965014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.77522763909411]
Predicted rank: [0], ambiguousness: [[0.62876356 0.3712364 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.11693627151769]
Predicted rank: [0], ambiguousness: [[0.73744965 0.26255035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.35572708369823]
Predicted rank: [0], ambiguousness: [[0.7370746  0.26292542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.68021905598152]
Predicted rank: [0], ambiguousness: [[0.83877724 0.16122277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.97917800573495]
Predicted rank: [0], ambiguousness: [[0.80608994 0.19391008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.09923192442088]
Predicted rank: [0], ambiguousness: [[0.8359902 0.1640098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.14571820159097]
Predicted rank: [0], ambiguousness: [[0.9018223  0.09817767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.13778101986341]
Predicted rank: [0], ambiguousness: [[0.5983397 0.4016603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.35691013673946]
Predicted rank: [0], ambiguousness: [[0.62957835 0.37042162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.6231294828027]
Predicted rank: [0], ambiguousness: [[0.7450856  0.25491443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.69214764805213]
Predicted rank: [0], ambiguousness: [[0.89433855 0.10566143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.00785812097043]
Predicted rank: [0], ambiguousness: [[0.8482665 0.1517335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.11782535053814]
Predicted rank: [0], ambiguousness: [[0.9301502 0.0698498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.19037406950761]
Predicted rank: [0], ambiguousness: [[0.83523583 0.16476418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.76983713696954]
Predicted rank: [0], ambiguousness: [[0.6828025 0.3171975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.87854659424497]
Predicted rank: [0], ambiguousness: [[0.8901499  0.10985009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.99523864141713]
Predicted rank: [0], ambiguousness: [[0.7802952  0.21970482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.08842638081342]
Predicted rank: [0], ambiguousness: [[0.6777122  0.32228783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.73858009553535]
Predicted rank: [0], ambiguousness: [[0.6107664 0.3892336]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.08902527278318]
Predicted rank: [0], ambiguousness: [[0.71891105 0.28108892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.32495947037495]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.67966464629292]
Predicted rank: [0], ambiguousness: [[0.8192092  0.18079078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.97873705576093]
Predicted rank: [0], ambiguousness: [[0.79574734 0.20425266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.09876462248084]
Predicted rank: [0], ambiguousness: [[0.7950321  0.20496793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.1452748817815]
Predicted rank: [0], ambiguousness: [[0.89978856 0.10021143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.64030869986382]
Predicted rank: [0], ambiguousness: [[0.588142   0.41185802]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.81438815086061]
Predicted rank: [0], ambiguousness: [[0.6192155  0.38078454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.15673053799262]
Predicted rank: [0], ambiguousness: [[0.72840726 0.27159277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.23740811367307]
Predicted rank: [0], ambiguousness: [[0.8942973  0.10570269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.73816217184586]
Predicted rank: [0], ambiguousness: [[0.8176762  0.18232381]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.85785727209574]
Predicted rank: [0], ambiguousness: [[0.9257227  0.07427727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.94131071328361]
Predicted rank: [0], ambiguousness: [[0.8298246  0.17017536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.01052497581664]
Predicted rank: [0], ambiguousness: [[0.57835627 0.42164373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.187892926559]
Predicted rank: [0], ambiguousness: [[0.8490539 0.1509461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.41542425462144]
Predicted rank: [0], ambiguousness: [[0.7802203  0.21977966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.7930331879461]
Predicted rank: [0], ambiguousness: [[0.81735134 0.18264869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.5603448339619]
Predicted rank: [0], ambiguousness: [[0.65676737 0.34323263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.8710754202501]
Predicted rank: [0], ambiguousness: [[0.56627476 0.43372524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.06002469605163]
Predicted rank: [0], ambiguousness: [[0.61017656 0.38982347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.38463925932028]
Predicted rank: [0], ambiguousness: [[0.7052378 0.2947622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.46190541610704]
Predicted rank: [0], ambiguousness: [[0.89037603 0.10962395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.92382625030059]
Predicted rank: [0], ambiguousness: [[0.82365537 0.17634463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.03956848974954]
Predicted rank: [0], ambiguousness: [[0.94138956 0.05861046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11865982208005]
Predicted rank: [0], ambiguousness: [[0.8245368  0.17546318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.69632048895488]
Predicted rank: [0], ambiguousness: [[0.55169594 0.44830406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.89721834933103]
Predicted rank: [0], ambiguousness: [[0.84418833 0.1558117 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.17566314576]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.69217677899172]
Predicted rank: [0], ambiguousness: [[0.7823612  0.21763878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.87101737274355]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 110.64649616008414]
Predicted rank: [0], ambiguousness: [[0.5945813 0.4054187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.00322643640666]
Predicted rank: [0], ambiguousness: [[0.7050512  0.29494882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.23614142495359]
Predicted rank: [0], ambiguousness: [[0.7021837  0.29781628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.61156269974401]
Predicted rank: [0], ambiguousness: [[0.7850815  0.21491851]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.909575599605]
Predicted rank: [0], ambiguousness: [[0.77890736 0.22109266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.03036407567774]
Predicted rank: [0], ambiguousness: [[0.77814955 0.22185047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.07712238065396]
Predicted rank: [0], ambiguousness: [[0.8896296  0.11037041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.57185044555312]
Predicted rank: [0], ambiguousness: [[0.59259534 0.40740466]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.74338822067489]
Predicted rank: [0], ambiguousness: [[0.62353474 0.37646526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.08987936613535]
Predicted rank: [0], ambiguousness: [[0.74014866 0.2598513 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.17121099590503]
Predicted rank: [0], ambiguousness: [[0.89533806 0.10466193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.68242529833958]
Predicted rank: [0], ambiguousness: [[0.82558596 0.17441407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80266568091695]
Predicted rank: [0], ambiguousness: [[0.9212202  0.07877981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88670795811503]
Predicted rank: [0], ambiguousness: [[0.8155055  0.18449448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.96667502487645]
Predicted rank: [0], ambiguousness: [[0.59295976 0.40704027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.1443172359617]
Predicted rank: [0], ambiguousness: [[0.85046566 0.14953431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.37238446999632]
Predicted rank: [0], ambiguousness: [[0.7761797  0.22382036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.75145167657624]
Predicted rank: [0], ambiguousness: [[0.8128882  0.18711178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.52245381348641]
Predicted rank: [0], ambiguousness: [[0.6514709  0.34852913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.53229539493586]
Predicted rank: [0], ambiguousness: [[0.5772432  0.42275682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.69970790849601]
Predicted rank: [0], ambiguousness: [[0.58851194 0.41148803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.05684245298184]
Predicted rank: [0], ambiguousness: [[0.7073758  0.29262418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.1393754934611]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.68191161139109]
Predicted rank: [0], ambiguousness: [[0.7934948  0.20650516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.80223283943945]
Predicted rank: [0], ambiguousness: [[0.92850304 0.07149699]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88623631872292]
Predicted rank: [0], ambiguousness: [[0.8008402  0.19915982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.3682489488753]
Predicted rank: [0], ambiguousness: [[0.57204497 0.427955  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.58177106162637]
Predicted rank: [0], ambiguousness: [[0.85041016 0.14958982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.88537082874997]
Predicted rank: [0], ambiguousness: [[0.77610385 0.22389616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.47034432182488]
Predicted rank: [0], ambiguousness: [[0.7915145  0.20848551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.67523218859904]
Predicted rank: [0], ambiguousness: [[0.5647438  0.43525618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.62909498230516]
Predicted rank: [0], ambiguousness: [[0.54337823 0.45662174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.83336875700327]
Predicted rank: [0], ambiguousness: [[0.85861397 0.14138602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.11984011326717]
Predicted rank: [0], ambiguousness: [[0.7723911 0.2276089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.66106807973424]
Predicted rank: [0], ambiguousness: [[0.8127011  0.18729892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.33661790071453]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.43862488942403]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 109.60207346808559]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 109.9666825558585]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.0502674878376]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.61244214596945]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.73342012904686]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.8181086220497]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.29492476732014]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.51041040227742]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.81811402098825]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.41472106263078]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.63181434499369]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.24482438090348]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.46462554057419]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.78313677480736]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.41417229121015]
Predicted rank: [0], ambiguousness: [[0.8080505 0.1919495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.99494904669427]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.26674389613402]
Predicted rank: [0], ambiguousness: [[0.55504036 0.44495964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.14436190362507]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.3675173341332]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 109.69349027883456]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.34625571231223]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.92180945159078]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.86741725675398]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 108.77267446710813]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Running local search 13
Switching 13 patient(s). Size of neighborhood: 77520
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.6554791479045]
Predicted rank: [0], ambiguousness: [[0.82767296 0.17232701]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.87417670253976]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 111.10106915199802]
Predicted rank: [0], ambiguousness: [[0.7541417  0.24585828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 111.2382952507475]
Predicted rank: [0], ambiguousness: [[0.79790753 0.20209247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 110.43775142181175]
Predicted rank: [0], ambiguousness: [[0.56616735 0.43383262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.3022693364758]
Predicted rank: [0], ambiguousness: [[0.8239928  0.17600721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.77056495858267]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.40780385764118]
Predicted rank: [0], ambiguousness: [[0.86856174 0.13143823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.61546842401441]
Predicted rank: [0], ambiguousness: [[0.8993655 0.1006345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.69239352737097]
Predicted rank: [0], ambiguousness: [[0.7324523  0.26754776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.59326527042418]
Predicted rank: [0], ambiguousness: [[0.80835056 0.19164944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.83732814532016]
Predicted rank: [0], ambiguousness: [[0.8409033  0.15909675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.9829937765315]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 111.04023741812284]
Predicted rank: [0], ambiguousness: [[0.7696529  0.23034711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 110.2031193864587]
Predicted rank: [0], ambiguousness: [[0.64754164 0.3524584 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.29908879954033]
Predicted rank: [0], ambiguousness: [[0.6400963 0.3599037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.3405967300159]
Predicted rank: [0], ambiguousness: [[0.81199455 0.18800545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.61062667143813]
Predicted rank: [0], ambiguousness: [[0.8401512 0.1598488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.49632897523969]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.31570359493199]
Predicted rank: [0], ambiguousness: [[0.8572117  0.14278832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.53364958474187]
Predicted rank: [0], ambiguousness: [[0.8924687  0.10753132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.59920844712786]
Predicted rank: [0], ambiguousness: [[0.70031166 0.29968837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.5096123380165]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.91359751597884]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.89164461027559]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.4878343842845]
Predicted rank: [0], ambiguousness: [[0.868692 0.131308]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.5269737987471]
Predicted rank: [0], ambiguousness: [[0.78389823 0.21610178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.68769324262448]
Predicted rank: [0], ambiguousness: [[0.79767984 0.20232016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.75098416579434]
Predicted rank: [0], ambiguousness: [[0.8941761  0.10582384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.56924984284046]
Predicted rank: [0], ambiguousness: [[0.7854402  0.21455976]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.6605271432054]
Predicted rank: [0], ambiguousness: [[0.6767349  0.32326505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.88098811986006]
Predicted rank: [0], ambiguousness: [[0.73227686 0.26772314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.9418826587476]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.04747539033681]
Predicted rank: [0], ambiguousness: [[0.62891173 0.3710883 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.154355682572]
Predicted rank: [0], ambiguousness: [[0.8646796  0.13532041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.20827690675259]
Predicted rank: [0], ambiguousness: [[0.6499522  0.35004786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.19431714875708]
Predicted rank: [0], ambiguousness: [[0.83556306 0.1644369 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.68432145211438]
Predicted rank: [0], ambiguousness: [[0.83542514 0.16457486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.32408470531797]
Predicted rank: [0], ambiguousness: [[0.87763727 0.12236271]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.53201879747932]
Predicted rank: [0], ambiguousness: [[0.9100268 0.0899732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.60851288184196]
Predicted rank: [0], ambiguousness: [[0.77376497 0.22623506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.51588725678938]
Predicted rank: [0], ambiguousness: [[0.8203128 0.1796872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.75995013168536]
Predicted rank: [0], ambiguousness: [[0.85642755 0.14357245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.9056157628967]
Predicted rank: [0], ambiguousness: [[0.7657449  0.23425506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.96285940448804]
Predicted rank: [0], ambiguousness: [[0.8015321  0.19846791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 110.12574137282388]
Predicted rank: [0], ambiguousness: [[0.69594073 0.3040593 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.22171078590554]
Predicted rank: [0], ambiguousness: [[0.6979171 0.3020829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.26321871638109]
Predicted rank: [0], ambiguousness: [[0.8374072  0.16259283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.20761174225362]
Predicted rank: [0], ambiguousness: [[0.8393235  0.16067651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.01736569751279]
Predicted rank: [0], ambiguousness: [[0.8353651  0.16463487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.94466378869524]
Predicted rank: [0], ambiguousness: [[0.87034523 0.1296548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.17240432856542]
Predicted rank: [0], ambiguousness: [[0.9032023  0.09679773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.22292312308493]
Predicted rank: [0], ambiguousness: [[0.76139694 0.23860307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.19163127628076]
Predicted rank: [0], ambiguousness: [[0.76013047 0.23986953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.6112808893055]
Predicted rank: [0], ambiguousness: [[0.8370566  0.16294344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.57503170645172]
Predicted rank: [0], ambiguousness: [[0.7577255 0.2422745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.22250119137597]
Predicted rank: [0], ambiguousness: [[0.8890392  0.11096077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.25161290799755]
Predicted rank: [0], ambiguousness: [[0.83123714 0.16876286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.41761256993567]
Predicted rank: [0], ambiguousness: [[0.84929335 0.15070666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.48261751451784]
Predicted rank: [0], ambiguousness: [[0.91609    0.08391001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.41651906897451]
Predicted rank: [0], ambiguousness: [[0.80451715 0.19548285]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.5058743704629]
Predicted rank: [0], ambiguousness: [[0.73193777 0.2680622 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.72799214709046]
Predicted rank: [0], ambiguousness: [[0.7768419  0.22315815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.78921176072411]
Predicted rank: [0], ambiguousness: [[0.9079642  0.09203575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.89594438759859]
Predicted rank: [0], ambiguousness: [[0.690592 0.309408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.00333359389454]
Predicted rank: [0], ambiguousness: [[0.8833798  0.11662017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.0577994443306]
Predicted rank: [0], ambiguousness: [[0.68943536 0.3105646 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.41269140855529]
Predicted rank: [0], ambiguousness: [[0.8299769 0.1700231]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.26547206134336]
Predicted rank: [0], ambiguousness: [[0.9139557  0.08604434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.48398003026972]
Predicted rank: [0], ambiguousness: [[0.90718746 0.09281255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.54883752392338]
Predicted rank: [0], ambiguousness: [[0.7637031 0.2362969]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.83666070325495]
Predicted rank: [0], ambiguousness: [[0.75406396 0.24593602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.32652278972152]
Predicted rank: [0], ambiguousness: [[0.8317497 0.1682503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.25644576552315]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.12414031661021]
Predicted rank: [0], ambiguousness: [[0.8749417  0.12505828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.14066173078884]
Predicted rank: [0], ambiguousness: [[0.8086656  0.19133443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.31757440388876]
Predicted rank: [0], ambiguousness: [[0.8252175  0.17478254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.38582790445881]
Predicted rank: [0], ambiguousness: [[0.91113734 0.08886265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.25415002129856]
Predicted rank: [0], ambiguousness: [[0.7333572 0.2666428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14637881884187]
Predicted rank: [0], ambiguousness: [[0.6340828 0.3659172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.54348121821678]
Predicted rank: [0], ambiguousness: [[0.74547607 0.25452393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.64592732391277]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.12259323998335]
Predicted rank: [0], ambiguousness: [[0.81779736 0.18220265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.28478260534969]
Predicted rank: [0], ambiguousness: [[0.93729997 0.06270003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.3956866301985]
Predicted rank: [0], ambiguousness: [[0.839494   0.16050604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.26883782578443]
Predicted rank: [0], ambiguousness: [[0.6832478  0.31675217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.42885548709334]
Predicted rank: [0], ambiguousness: [[0.9047316  0.09526842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.60609336460337]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.75478586163675]
Predicted rank: [0], ambiguousness: [[0.6879698  0.31203017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.07201672949796]
Predicted rank: [0], ambiguousness: [[0.8342405  0.16575949]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.88860783384632]
Predicted rank: [0], ambiguousness: [[0.849552   0.15044804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.83563458172584]
Predicted rank: [0], ambiguousness: [[0.87450945 0.12549058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.06469888714524]
Predicted rank: [0], ambiguousness: [[0.90991247 0.09008754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.11342445712734]
Predicted rank: [0], ambiguousness: [[0.78121656 0.21878342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.10486763102507]
Predicted rank: [0], ambiguousness: [[0.77908593 0.22091408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.52552222346988]
Predicted rank: [0], ambiguousness: [[0.85634595 0.14365403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.48850692522413]
Predicted rank: [0], ambiguousness: [[0.79041886 0.2095811 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.13929702392917]
Predicted rank: [0], ambiguousness: [[0.90280503 0.09719495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16793520894468]
Predicted rank: [0], ambiguousness: [[0.84642565 0.15357435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.33420851338289]
Predicted rank: [0], ambiguousness: [[0.8679911  0.13200891]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.39929903710905]
Predicted rank: [0], ambiguousness: [[0.9236851  0.07631491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.33982798586482]
Predicted rank: [0], ambiguousness: [[0.82686186 0.17313814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.42918328735324]
Predicted rank: [0], ambiguousness: [[0.7670412  0.23295878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.65130106398078]
Predicted rank: [0], ambiguousness: [[0.81402576 0.18597423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.71252067761445]
Predicted rank: [0], ambiguousness: [[0.9217919  0.07820806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.81925330448891]
Predicted rank: [0], ambiguousness: [[0.75035304 0.24964696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.92664251078486]
Predicted rank: [0], ambiguousness: [[0.90049636 0.09950364]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.98110836122092]
Predicted rank: [0], ambiguousness: [[0.71928763 0.28071234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.85626395765735]
Predicted rank: [0], ambiguousness: [[0.85032046 0.14967953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.84917382158557]
Predicted rank: [0], ambiguousness: [[0.8869334  0.11306661]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.07803919178558]
Predicted rank: [0], ambiguousness: [[0.90623814 0.09376188]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.1271548037393]
Predicted rank: [0], ambiguousness: [[0.7672974  0.23270258]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.30781394245071]
Predicted rank: [0], ambiguousness: [[0.78572756 0.21427242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.84028210946698]
Predicted rank: [0], ambiguousness: [[0.8559998  0.14400017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.74115693838203]
Predicted rank: [0], ambiguousness: [[0.78963304 0.210367  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.7474510587092]
Predicted rank: [0], ambiguousness: [[0.8900845  0.10991548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.74749295642567]
Predicted rank: [0], ambiguousness: [[0.8370318  0.16296823]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.93436957003317]
Predicted rank: [0], ambiguousness: [[0.85795057 0.14204946]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.00581249405037]
Predicted rank: [0], ambiguousness: [[0.9246566  0.07534338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.92973872335389]
Predicted rank: [0], ambiguousness: [[0.76783025 0.23216973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.8048439555146]
Predicted rank: [0], ambiguousness: [[0.6947253  0.30527475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.21952006321409]
Predicted rank: [0], ambiguousness: [[0.7896208  0.21037918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.32555438296035]
Predicted rank: [0], ambiguousness: [[0.9245587  0.07544129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.84021056803388]
Predicted rank: [0], ambiguousness: [[0.8608263  0.13917369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.0067069631753]
Predicted rank: [0], ambiguousness: [[0.94678473 0.05321526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.12225184834426]
Predicted rank: [0], ambiguousness: [[0.86743385 0.13256614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.11326268148524]
Predicted rank: [0], ambiguousness: [[0.73433924 0.26566076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.27421011569898]
Predicted rank: [0], ambiguousness: [[0.92146283 0.07853715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.45303419610798]
Predicted rank: [0], ambiguousness: [[0.8324422  0.16755776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6031595947139]
Predicted rank: [0], ambiguousness: [[0.7330879  0.26691207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.74067584668306]
Predicted rank: [0], ambiguousness: [[0.79595965 0.20404036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.24207407302524]
Predicted rank: [0], ambiguousness: [[0.8504786  0.14952141]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.1673821259524]
Predicted rank: [0], ambiguousness: [[0.77849203 0.22150795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.07419807268545]
Predicted rank: [0], ambiguousness: [[0.9070529  0.09294712]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.08996729047587]
Predicted rank: [0], ambiguousness: [[0.8775761  0.12242386]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.2674494509279]
Predicted rank: [0], ambiguousness: [[0.8509201  0.14907993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.3359144643504]
Predicted rank: [0], ambiguousness: [[0.93217325 0.06782672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.54825721953651]
Predicted rank: [0], ambiguousness: [[0.7609127  0.23908727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.37889936358971]
Predicted rank: [0], ambiguousness: [[0.67529595 0.32470402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.87724938988093]
Predicted rank: [0], ambiguousness: [[0.77852523 0.22147475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.99522254523234]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.71534804154628]
Predicted rank: [0], ambiguousness: [[0.8297142  0.17028582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.89068468073114]
Predicted rank: [0], ambiguousness: [[0.9438117  0.05618828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.01633796024718]
Predicted rank: [0], ambiguousness: [[0.85370886 0.14629117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.57801966314979]
Predicted rank: [0], ambiguousness: [[0.64257675 0.35742325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.8410240460038]
Predicted rank: [0], ambiguousness: [[0.89121735 0.10878265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.1834627438162]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.75540089824315]
Predicted rank: [0], ambiguousness: [[0.83253515 0.16746488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.9159437352001]
Predicted rank: [0], ambiguousness: [[0.7274962 0.2725038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.68459556456747]
Predicted rank: [0], ambiguousness: [[0.8428696 0.1571304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.71376048230286]
Predicted rank: [0], ambiguousness: [[0.89027274 0.10972727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.94417890164154]
Predicted rank: [0], ambiguousness: [[0.9077362  0.09226384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.99121389422345]
Predicted rank: [0], ambiguousness: [[0.7726573  0.22734272]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.1726249513479]
Predicted rank: [0], ambiguousness: [[0.7912701  0.20872991]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.71252960869307]
Predicted rank: [0], ambiguousness: [[0.8631305 0.1368695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.60913200628474]
Predicted rank: [0], ambiguousness: [[0.7936757  0.20632426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.63982913673956]
Predicted rank: [0], ambiguousness: [[0.9084126  0.09158742]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.6379047912769]
Predicted rank: [0], ambiguousness: [[0.8528571  0.14714292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.82614719473497]
Predicted rank: [0], ambiguousness: [[0.8749111  0.12508887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.89802498130905]
Predicted rank: [0], ambiguousness: [[0.92649436 0.07350565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.84480606458285]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.71896956770246]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.13479703538124]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.2410411536749]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.75840622548044]
Predicted rank: [0], ambiguousness: [[0.88467604 0.11532394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.92512096241043]
Predicted rank: [0], ambiguousness: [[0.95075977 0.04924024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.04090969080995]
Predicted rank: [0], ambiguousness: [[0.8743088  0.12569115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.0388276723368]
Predicted rank: [0], ambiguousness: [[0.74707794 0.25292206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.19977510655053]
Predicted rank: [0], ambiguousness: [[0.92156655 0.07843343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.37859918695955]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.52872458556547]
Predicted rank: [0], ambiguousness: [[0.74263036 0.25736967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.12343399544827]
Predicted rank: [0], ambiguousness: [[0.78569573 0.21430428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.6784875211251]
Predicted rank: [0], ambiguousness: [[0.8533181  0.14668189]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.57026752884214]
Predicted rank: [0], ambiguousness: [[0.77607 0.22393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.65342186934231]
Predicted rank: [0], ambiguousness: [[0.9042273 0.0957727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.65195865192145]
Predicted rank: [0], ambiguousness: [[0.8500848 0.1499152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83997539739197]
Predicted rank: [0], ambiguousness: [[0.8474697  0.15253031]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.91184133738362]
Predicted rank: [0], ambiguousness: [[0.9278579  0.07214215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.00407033085284]
Predicted rank: [0], ambiguousness: [[0.7708152  0.22918482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.7985922246433]
Predicted rank: [0], ambiguousness: [[0.69394046 0.30605954]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.3463125764651]
Predicted rank: [0], ambiguousness: [[0.7863334  0.21366662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.4727372068887]
Predicted rank: [0], ambiguousness: [[0.9206941  0.07930592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.31034133199208]
Predicted rank: [0], ambiguousness: [[0.8602165 0.1397835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.49391170616394]
Predicted rank: [0], ambiguousness: [[0.94756496 0.05243501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.6284555354978]
Predicted rank: [0], ambiguousness: [[0.86998117 0.13001883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.22287120266094]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.49522568516406]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.8544544595371]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.46936522713149]
Predicted rank: [0], ambiguousness: [[0.8599545  0.14004555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.76142942447888]
Predicted rank: [0], ambiguousness: [[0.72418743 0.27581257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.45049993555607]
Predicted rank: [0], ambiguousness: [[0.75700235 0.24299765]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.27476366423653]
Predicted rank: [0], ambiguousness: [[0.6949569  0.30504307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.7870591416721]
Predicted rank: [0], ambiguousness: [[0.77412105 0.22587897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.90676828125953]
Predicted rank: [0], ambiguousness: [[0.9208499 0.0791501]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.66602032979596]
Predicted rank: [0], ambiguousness: [[0.86996794 0.13003209]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.84193209825986]
Predicted rank: [0], ambiguousness: [[0.9604923  0.03950767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.96808538350379]
Predicted rank: [0], ambiguousness: [[0.87065417 0.12934582]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.73789419010342]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.0488117831037]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.49167291197324]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.33480122100968]
Predicted rank: [0], ambiguousness: [[0.8373774  0.16262259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.09430102253363]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.94281201253666]
Predicted rank: [0], ambiguousness: [[0.77293724 0.22706275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.51110196984399]
Predicted rank: [0], ambiguousness: [[0.84378505 0.15621492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.3964045409366]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.52320877490244]
Predicted rank: [0], ambiguousness: [[0.8909632  0.10903683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.51947387444676]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.70908655444049]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.78147396244445]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.87215684245794]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.66122033380856]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.21767201905529]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.34547131934349]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.20504024495764]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.38975903167778]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.52553480122212]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.14219609620562]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.41512349888141]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.77546945699947]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.39341587902868]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.69313447532727]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.81779100367132]
Predicted rank: [0], ambiguousness: [[0.7639593 0.2360407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.59975512236721]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.17476382757414]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.30460356449646]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.21902766829997]
Predicted rank: [0], ambiguousness: [[0.8555056  0.14449441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.40374813152158]
Predicted rank: [0], ambiguousness: [[0.95324457 0.04675545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.53929335347054]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.1243723619416]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.45959684032815]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.95079408775442]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.92529890920619]
Predicted rank: [0], ambiguousness: [[0.8521949 0.1478051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.7334349487603]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.6307840106002]
Predicted rank: [0], ambiguousness: [[0.62917817 0.3708218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.94762556804424]
Predicted rank: [0], ambiguousness: [[0.8981889  0.10181113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.40455170074753]
Predicted rank: [0], ambiguousness: [[0.8284415 0.1715585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.29084497945914]
Predicted rank: [0], ambiguousness: [[0.86966556 0.13033444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.2083958746524]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.65382345179697]
Predicted rank: [0], ambiguousness: [[0.750318 0.249682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.42760508896552]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.01773847670594]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.14970259818507]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.10376701691324]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.28981397627823]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.42673300272631]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.00035566604438]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.33954968258536]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.83902664094472]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.83696910977565]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.66944600719306]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.92280519021719]
Predicted rank: [0], ambiguousness: [[0.6359502  0.36404982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.26956945957012]
Predicted rank: [0], ambiguousness: [[0.8904334  0.10956662]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.78814142057279]
Predicted rank: [0], ambiguousness: [[0.8279617  0.17203835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.84700831412374]
Predicted rank: [0], ambiguousness: [[0.85439855 0.14560144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.58160236406414]
Predicted rank: [0], ambiguousness: [[0.6437398 0.3562602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.10854956130754]
Predicted rank: [0], ambiguousness: [[0.6379843  0.36201572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.84308779243972]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.1938629852879]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.7215615641474]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.80729249563095]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.54061915950575]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.4336885679724]
Predicted rank: [0], ambiguousness: [[0.6415703  0.35842967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.72572570960114]
Predicted rank: [0], ambiguousness: [[0.6441425  0.35585746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.19414293756058]
Predicted rank: [0], ambiguousness: [[0.8413969  0.15860304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.68414724091787]
Predicted rank: [0], ambiguousness: [[0.84126294 0.15873705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.32391049412144]
Predicted rank: [0], ambiguousness: [[0.89025724 0.10974273]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.53184458628282]
Predicted rank: [0], ambiguousness: [[0.9134923  0.08650766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.60833867064545]
Predicted rank: [0], ambiguousness: [[0.77944636 0.22055365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.51571304559286]
Predicted rank: [0], ambiguousness: [[0.83425033 0.16574965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.75977592048885]
Predicted rank: [0], ambiguousness: [[0.86164373 0.13835625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.90544155170019]
Predicted rank: [0], ambiguousness: [[0.78398156 0.21601842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.96268519329153]
Predicted rank: [0], ambiguousness: [[0.8082963  0.19170369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 110.12556716162737]
Predicted rank: [0], ambiguousness: [[0.728521 0.271479]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.221536574709]
Predicted rank: [0], ambiguousness: [[0.7194998  0.28050014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.26304450518458]
Predicted rank: [0], ambiguousness: [[0.8511494  0.14885062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.20743753105711]
Predicted rank: [0], ambiguousness: [[0.82866764 0.17133234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.01719148631628]
Predicted rank: [0], ambiguousness: [[0.83624434 0.16375567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.94448957749873]
Predicted rank: [0], ambiguousness: [[0.87706524 0.12293474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.17223011736888]
Predicted rank: [0], ambiguousness: [[0.9037609  0.09623912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.22274891188842]
Predicted rank: [0], ambiguousness: [[0.762697 0.237303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.19145706508424]
Predicted rank: [0], ambiguousness: [[0.77106035 0.22893962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.611106678109]
Predicted rank: [0], ambiguousness: [[0.8379285  0.16207153]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.5748574952552]
Predicted rank: [0], ambiguousness: [[0.76997316 0.23002684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.22232698017946]
Predicted rank: [0], ambiguousness: [[0.8921519  0.10784812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.25143869680105]
Predicted rank: [0], ambiguousness: [[0.84312135 0.15687865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.41743835873915]
Predicted rank: [0], ambiguousness: [[0.85020876 0.14979126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.48244330332133]
Predicted rank: [0], ambiguousness: [[0.9157878  0.08421217]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.41634485777797]
Predicted rank: [0], ambiguousness: [[0.80552274 0.19447726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.5057001592664]
Predicted rank: [0], ambiguousness: [[0.75526506 0.24473493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.72781793589394]
Predicted rank: [0], ambiguousness: [[0.78839296 0.21160705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.7890375495276]
Predicted rank: [0], ambiguousness: [[0.9134841  0.08651593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.89577017640207]
Predicted rank: [0], ambiguousness: [[0.7049117  0.29508826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.00315938269803]
Predicted rank: [0], ambiguousness: [[0.8954115  0.10458854]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.05762523313409]
Predicted rank: [0], ambiguousness: [[0.70378566 0.29621434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.41251719735878]
Predicted rank: [0], ambiguousness: [[0.8364858  0.16351421]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.26529785014688]
Predicted rank: [0], ambiguousness: [[0.9274167  0.07258334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.48380581907321]
Predicted rank: [0], ambiguousness: [[0.91105723 0.08894274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.54866331272686]
Predicted rank: [0], ambiguousness: [[0.77218664 0.22781338]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.83648649205844]
Predicted rank: [0], ambiguousness: [[0.7867012  0.21329883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.326348578525]
Predicted rank: [0], ambiguousness: [[0.838204 0.161796]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.25627155432666]
Predicted rank: [0], ambiguousness: [[0.7664675  0.23353247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.1239661054137]
Predicted rank: [0], ambiguousness: [[0.8799782  0.12002181]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.14048751959233]
Predicted rank: [0], ambiguousness: [[0.83574104 0.16425896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.31740019269225]
Predicted rank: [0], ambiguousness: [[0.8319784  0.16802162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.3856536932623]
Predicted rank: [0], ambiguousness: [[0.91491735 0.08508266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.25397581010205]
Predicted rank: [0], ambiguousness: [[0.742417 0.257583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14620460764534]
Predicted rank: [0], ambiguousness: [[0.6891234  0.31087664]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.54330700702027]
Predicted rank: [0], ambiguousness: [[0.7654827  0.23451728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.64575311271626]
Predicted rank: [0], ambiguousness: [[0.9192945  0.08070555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.12241902878684]
Predicted rank: [0], ambiguousness: [[0.82844484 0.17155515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.28460839415318]
Predicted rank: [0], ambiguousness: [[0.9486168  0.05138318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.39551241900199]
Predicted rank: [0], ambiguousness: [[0.8458058  0.15419419]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.26866361458791]
Predicted rank: [0], ambiguousness: [[0.70621824 0.29378176]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.4286812758968]
Predicted rank: [0], ambiguousness: [[0.9239447 0.0760553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.60591915340686]
Predicted rank: [0], ambiguousness: [[0.8214013  0.17859872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.75461165044024]
Predicted rank: [0], ambiguousness: [[0.71074283 0.28925717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.07115069724732]
Predicted rank: [0], ambiguousness: [[0.8014787  0.19852132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.8877418015957]
Predicted rank: [0], ambiguousness: [[0.80819637 0.19180362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.8347685494752]
Predicted rank: [0], ambiguousness: [[0.848259   0.15174104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.06383285489461]
Predicted rank: [0], ambiguousness: [[0.8901373  0.10986266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.11255842487671]
Predicted rank: [0], ambiguousness: [[0.773171   0.22682899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.10400159877443]
Predicted rank: [0], ambiguousness: [[0.7246387 0.2753613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.52465619121924]
Predicted rank: [0], ambiguousness: [[0.8164545  0.18354549]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.48764089297347]
Predicted rank: [0], ambiguousness: [[0.77973765 0.22026233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.13843099167853]
Predicted rank: [0], ambiguousness: [[0.8843114 0.1156886]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16706917669404]
Predicted rank: [0], ambiguousness: [[0.8436858  0.15631421]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.33334248113226]
Predicted rank: [0], ambiguousness: [[0.8625752  0.13742483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.39843300485839]
Predicted rank: [0], ambiguousness: [[0.9209478  0.07905219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.33896195361419]
Predicted rank: [0], ambiguousness: [[0.78087795 0.21912207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.4283172551026]
Predicted rank: [0], ambiguousness: [[0.75553703 0.24446297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.65043503173014]
Predicted rank: [0], ambiguousness: [[0.8042497 0.1957503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.71165464536381]
Predicted rank: [0], ambiguousness: [[0.91856337 0.08143666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.81838727223827]
Predicted rank: [0], ambiguousness: [[0.7383059 0.2616941]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.92577647853423]
Predicted rank: [0], ambiguousness: [[0.89648736 0.10351265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.98024232897029]
Predicted rank: [0], ambiguousness: [[0.70632815 0.29367185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.8553979254067]
Predicted rank: [0], ambiguousness: [[0.80296147 0.19703853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.84830778933492]
Predicted rank: [0], ambiguousness: [[0.85813916 0.14186083]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.07717315953492]
Predicted rank: [0], ambiguousness: [[0.88170445 0.11829555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.12628877148866]
Predicted rank: [0], ambiguousness: [[0.7516059  0.24839409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.30694791020008]
Predicted rank: [0], ambiguousness: [[0.7245516  0.27544838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.83941607721636]
Predicted rank: [0], ambiguousness: [[0.81003636 0.18996362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.7402909061314]
Predicted rank: [0], ambiguousness: [[0.7720547  0.22794536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.74658502645858]
Predicted rank: [0], ambiguousness: [[0.86196786 0.13803214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.74662692417503]
Predicted rank: [0], ambiguousness: [[0.82496995 0.17503007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.93350353778251]
Predicted rank: [0], ambiguousness: [[0.8471542  0.15284579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.00494646179973]
Predicted rank: [0], ambiguousness: [[0.9198862  0.08011384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.92887269110327]
Predicted rank: [0], ambiguousness: [[0.70347285 0.29652715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.80397792326394]
Predicted rank: [0], ambiguousness: [[0.6725055 0.3274945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.21865403096345]
Predicted rank: [0], ambiguousness: [[0.77204174 0.22795826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.3246883507097]
Predicted rank: [0], ambiguousness: [[0.9185307 0.0814693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.83934453578324]
Predicted rank: [0], ambiguousness: [[0.85343415 0.14656587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.00584093092465]
Predicted rank: [0], ambiguousness: [[0.94467956 0.05532047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.12138581609364]
Predicted rank: [0], ambiguousness: [[0.8572384  0.14276162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.1123966492346]
Predicted rank: [0], ambiguousness: [[0.7138151 0.2861849]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.27334408344834]
Predicted rank: [0], ambiguousness: [[0.9152102  0.08478983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.45216816385735]
Predicted rank: [0], ambiguousness: [[0.8176148  0.18238519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.60229356246325]
Predicted rank: [0], ambiguousness: [[0.712505   0.28749505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.73980981443242]
Predicted rank: [0], ambiguousness: [[0.73672605 0.26327392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.24120804077461]
Predicted rank: [0], ambiguousness: [[0.80315804 0.19684196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.16651609370176]
Predicted rank: [0], ambiguousness: [[0.7602654 0.2397346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.07333204043482]
Predicted rank: [0], ambiguousness: [[0.8827048  0.11729521]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.08910125822526]
Predicted rank: [0], ambiguousness: [[0.86804205 0.13195795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.26658341867727]
Predicted rank: [0], ambiguousness: [[0.83968925 0.16031072]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.33504843209977]
Predicted rank: [0], ambiguousness: [[0.9278416 0.0721584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.54739118728587]
Predicted rank: [0], ambiguousness: [[0.69539845 0.30460152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.37803333133907]
Predicted rank: [0], ambiguousness: [[0.65236974 0.3476303 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.87638335763029]
Predicted rank: [0], ambiguousness: [[0.7603005 0.2396995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.99435651298168]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.71448200929562]
Predicted rank: [0], ambiguousness: [[0.817229   0.18277104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.88981864848051]
Predicted rank: [0], ambiguousness: [[0.94017565 0.05982437]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.01547192799654]
Predicted rank: [0], ambiguousness: [[0.8426493  0.15735073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.57715363089915]
Predicted rank: [0], ambiguousness: [[0.6186449 0.3813551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.84015801375317]
Predicted rank: [0], ambiguousness: [[0.8828628  0.11713721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.18259671156557]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.75453486599251]
Predicted rank: [0], ambiguousness: [[0.8239476  0.17605239]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.91507770294945]
Predicted rank: [0], ambiguousness: [[0.70665455 0.29334542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.68147140193578]
Predicted rank: [0], ambiguousness: [[0.77141464 0.22858533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.71063631967117]
Predicted rank: [0], ambiguousness: [[0.82372546 0.17627457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.94105473900984]
Predicted rank: [0], ambiguousness: [[0.8520216 0.1479784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.98808973159177]
Predicted rank: [0], ambiguousness: [[0.71587044 0.28412956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.16950078871619]
Predicted rank: [0], ambiguousness: [[0.7012378  0.29876223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.70940544606137]
Predicted rank: [0], ambiguousness: [[0.79868865 0.20131133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.60600784365305]
Predicted rank: [0], ambiguousness: [[0.76606894 0.23393106]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.63670497410787]
Predicted rank: [0], ambiguousness: [[0.8530404  0.14695962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.6347806286452]
Predicted rank: [0], ambiguousness: [[0.8087487  0.19125126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.8230230321033]
Predicted rank: [0], ambiguousness: [[0.8383212  0.16167879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.89490081867737]
Predicted rank: [0], ambiguousness: [[0.90629447 0.09370555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.84168190195118]
Predicted rank: [0], ambiguousness: [[0.68820965 0.31179032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.71584540507075]
Predicted rank: [0], ambiguousness: [[0.66503984 0.33496016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.13167287274955]
Predicted rank: [0], ambiguousness: [[0.773468   0.22653198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.2379169910432]
Predicted rank: [0], ambiguousness: [[0.9109865  0.08901352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.75528206284875]
Predicted rank: [0], ambiguousness: [[0.8536737  0.14632633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.92199679977874]
Predicted rank: [0], ambiguousness: [[0.9349969  0.06500312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.03778552817826]
Predicted rank: [0], ambiguousness: [[0.8375755  0.16242452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.0357035097051]
Predicted rank: [0], ambiguousness: [[0.7154714  0.28452858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.19665094391885]
Predicted rank: [0], ambiguousness: [[0.90738946 0.09261053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.37547502432786]
Predicted rank: [0], ambiguousness: [[0.8057792  0.19422075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.52560042293376]
Predicted rank: [0], ambiguousness: [[0.7106832  0.28931674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.12030983281659]
Predicted rank: [0], ambiguousness: [[0.7024987  0.29750136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.6753633584934]
Predicted rank: [0], ambiguousness: [[0.79197925 0.20802073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.56714336621044]
Predicted rank: [0], ambiguousness: [[0.7542446  0.24575537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.6502977067106]
Predicted rank: [0], ambiguousness: [[0.85180116 0.14819881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64883448928975]
Predicted rank: [0], ambiguousness: [[0.8114455  0.18855454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83685123476027]
Predicted rank: [0], ambiguousness: [[0.81077206 0.18922791]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.90871717475193]
Predicted rank: [0], ambiguousness: [[0.91123855 0.08876144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.00094616822113]
Predicted rank: [0], ambiguousness: [[0.6876062 0.3123938]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.7954680620116]
Predicted rank: [0], ambiguousness: [[0.6639836 0.3360164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.34318841383339]
Predicted rank: [0], ambiguousness: [[0.7652057  0.23479433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.46961304425699]
Predicted rank: [0], ambiguousness: [[0.9140999  0.08590011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.30721716936037]
Predicted rank: [0], ambiguousness: [[0.82595587 0.17404413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.49078754353224]
Predicted rank: [0], ambiguousness: [[0.93174374 0.06825625]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.62533137286613]
Predicted rank: [0], ambiguousness: [[0.8376622  0.16233781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.21974704002923]
Predicted rank: [0], ambiguousness: [[0.6250192  0.37498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.49210152253235]
Predicted rank: [0], ambiguousness: [[0.8761588  0.12384123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.85133029690539]
Predicted rank: [0], ambiguousness: [[0.8118123  0.18818773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.4662410644998]
Predicted rank: [0], ambiguousness: [[0.8292889  0.17071112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.7583052618472]
Predicted rank: [0], ambiguousness: [[0.6992649  0.30073515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.4473757729244]
Predicted rank: [0], ambiguousness: [[0.6709194  0.32908055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.27163950160482]
Predicted rank: [0], ambiguousness: [[0.6650516 0.3349484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.78393497904042]
Predicted rank: [0], ambiguousness: [[0.75216633 0.24783365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.90364411862784]
Predicted rank: [0], ambiguousness: [[0.9142675  0.08573254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.66289616716426]
Predicted rank: [0], ambiguousness: [[0.83764625 0.16235375]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.83880793562818]
Predicted rank: [0], ambiguousness: [[0.9483591  0.05164091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.96496122087208]
Predicted rank: [0], ambiguousness: [[0.8384714  0.16152857]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.73477002747171]
Predicted rank: [0], ambiguousness: [[0.6095352  0.39046478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.04568762047202]
Predicted rank: [0], ambiguousness: [[0.8767525  0.12324753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.48854874934155]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.331677058378]
Predicted rank: [0], ambiguousness: [[0.7988281 0.2011719]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.09117685990194]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.93341358134454]
Predicted rank: [0], ambiguousness: [[0.6937741 0.3062259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.50171942092175]
Predicted rank: [0], ambiguousness: [[0.78236747 0.2176325 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.38701467359272]
Predicted rank: [0], ambiguousness: [[0.7448353  0.25516468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.5138716511707]
Predicted rank: [0], ambiguousness: [[0.84467983 0.15532015]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.51013455999407]
Predicted rank: [0], ambiguousness: [[0.8184191  0.18158087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.69974882280636]
Predicted rank: [0], ambiguousness: [[0.8153716  0.18462841]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.77213676102033]
Predicted rank: [0], ambiguousness: [[0.90728235 0.09271768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.86283040489374]
Predicted rank: [0], ambiguousness: [[0.70015454 0.29984543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.65188864139279]
Predicted rank: [0], ambiguousness: [[0.6729568 0.3270432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.20834902600227]
Predicted rank: [0], ambiguousness: [[0.7769139  0.22308609]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.3361496745499]
Predicted rank: [0], ambiguousness: [[0.9097876  0.09021238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.19574097895547]
Predicted rank: [0], ambiguousness: [[0.85477316 0.14522687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.38046083780435]
Predicted rank: [0], ambiguousness: [[0.9367673  0.06323274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.51623773002879]
Predicted rank: [0], ambiguousness: [[0.8458067  0.15419327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.13292495823403]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.40585267774229]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.76619926611795]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.38414738957725]
Predicted rank: [0], ambiguousness: [[0.8468783  0.15312168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.68387000420395]
Predicted rank: [0], ambiguousness: [[0.6952032  0.30479684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.80866734033867]
Predicted rank: [0], ambiguousness: [[0.68294996 0.31705004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.59063145903455]
Predicted rank: [0], ambiguousness: [[0.64275295 0.35724705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.1656401642415]
Predicted rank: [0], ambiguousness: [[0.74954903 0.25045097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.2954799011638]
Predicted rank: [0], ambiguousness: [[0.91261816 0.08738182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.20990400496734]
Predicted rank: [0], ambiguousness: [[0.828709   0.17129102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.39462446818894]
Predicted rank: [0], ambiguousness: [[0.943374   0.05662604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.53016969013788]
Predicted rank: [0], ambiguousness: [[0.83478886 0.16521114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.11524869860894]
Predicted rank: [0], ambiguousness: [[0.6203962 0.3796038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.4504731769955]
Predicted rank: [0], ambiguousness: [[0.87626696 0.12373304]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.94167042442177]
Predicted rank: [0], ambiguousness: [[0.8087876  0.19121242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.91617524587352]
Predicted rank: [0], ambiguousness: [[0.82491    0.17509001]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.72431128542766]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.62166034726754]
Predicted rank: [0], ambiguousness: [[0.5956774 0.4043226]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.93850190471159]
Predicted rank: [0], ambiguousness: [[0.88453084 0.11546916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.39542803741487]
Predicted rank: [0], ambiguousness: [[0.8074329  0.19256711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.28172131612651]
Predicted rank: [0], ambiguousness: [[0.8450192  0.15498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.19927221131977]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.62312111491758]
Predicted rank: [0], ambiguousness: [[0.6666697  0.33333024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.39654452240464]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.98733187481258]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.11938847650799]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.0751676613333]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.26127321961512]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.39825283602143]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.97136306555306]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.3107284209129]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.8105610959799]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.8095094917681]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.64295284913186]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.89881574808568]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.24564396235752]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.76435216254538]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.8236062601257]
Predicted rank: [0], ambiguousness: [[0.8283296  0.17167038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.55791120388065]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.08614804080139]
Predicted rank: [0], ambiguousness: [[0.60306203 0.396938  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.71615392488789]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.06978796111095]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.60360805820761]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.70679198806282]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.4295557574771]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.34460936109811]
Predicted rank: [0], ambiguousness: [[0.6100153 0.3899847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.26075651920507]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.07119365769881]
Predicted rank: [0], ambiguousness: [[0.8263819 0.1736181]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.88778476058428]
Predicted rank: [0], ambiguousness: [[0.83243304 0.16756694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.83481150714817]
Predicted rank: [0], ambiguousness: [[0.8682585  0.13174152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.06387581249001]
Predicted rank: [0], ambiguousness: [[0.90523386 0.09476613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.1126013825739]
Predicted rank: [0], ambiguousness: [[0.74816334 0.25183663]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.104044554763]
Predicted rank: [0], ambiguousness: [[0.7562495 0.2437505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.52469914717625]
Predicted rank: [0], ambiguousness: [[0.8398545  0.16014555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.48768384895307]
Predicted rank: [0], ambiguousness: [[0.7438232  0.25617686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.13847394755568]
Predicted rank: [0], ambiguousness: [[0.89779884 0.10220115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.16711213258466]
Predicted rank: [0], ambiguousness: [[0.8209663 0.1790337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.33338543701485]
Predicted rank: [0], ambiguousness: [[0.84545404 0.15454595]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.39847596073855]
Predicted rank: [0], ambiguousness: [[0.9067941  0.09320591]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.3390049093057]
Predicted rank: [0], ambiguousness: [[0.80774546 0.19225454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.4283602107941]
Predicted rank: [0], ambiguousness: [[0.71710813 0.28289187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.65047798742167]
Predicted rank: [0], ambiguousness: [[0.771159   0.22884102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.7116976010553]
Predicted rank: [0], ambiguousness: [[0.89761126 0.10238871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.8184302279298]
Predicted rank: [0], ambiguousness: [[0.6982502  0.30174986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.92581943422573]
Predicted rank: [0], ambiguousness: [[0.87065536 0.12934464]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.9802852846618]
Predicted rank: [0], ambiguousness: [[0.66360784 0.33639213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.85544087082855]
Predicted rank: [0], ambiguousness: [[0.8277187  0.17228132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.84835073475674]
Predicted rank: [0], ambiguousness: [[0.87702525 0.12297473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.07721610495676]
Predicted rank: [0], ambiguousness: [[0.8978268  0.10217322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.12633171691049]
Predicted rank: [0], ambiguousness: [[0.7250662  0.27493382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.30699085562189]
Predicted rank: [0], ambiguousness: [[0.7561691  0.24383095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.83945902263817]
Predicted rank: [0], ambiguousness: [[0.83408827 0.16591175]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.7403338515532]
Predicted rank: [0], ambiguousness: [[0.7353126 0.2646874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.7466279718804]
Predicted rank: [0], ambiguousness: [[0.8804153  0.11958471]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.74666986959684]
Predicted rank: [0], ambiguousness: [[0.8042271  0.19577292]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.93354648320434]
Predicted rank: [0], ambiguousness: [[0.82849383 0.17150614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.00498940722156]
Predicted rank: [0], ambiguousness: [[0.90460885 0.09539116]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.92891563652509]
Predicted rank: [0], ambiguousness: [[0.7366303  0.26336965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.80402086868577]
Predicted rank: [0], ambiguousness: [[0.6274601  0.37253985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.21869697638527]
Predicted rank: [0], ambiguousness: [[0.73529834 0.26470166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.32473129613155]
Predicted rank: [0], ambiguousness: [[0.8975712  0.10242882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.83938748120508]
Predicted rank: [0], ambiguousness: [[0.83184916 0.16815086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.00588387634647]
Predicted rank: [0], ambiguousness: [[0.93219316 0.06780685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.12142876151546]
Predicted rank: [0], ambiguousness: [[0.839576   0.16042398]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.11243959465642]
Predicted rank: [0], ambiguousness: [[0.6716777 0.3283223]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.27338702887016]
Predicted rank: [0], ambiguousness: [[0.89349544 0.10650459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.45221110927918]
Predicted rank: [0], ambiguousness: [[0.7861827  0.21381728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6023365078851]
Predicted rank: [0], ambiguousness: [[0.67026377 0.32973623]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.73985275985424]
Predicted rank: [0], ambiguousness: [[0.76739466 0.23260534]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.24125098619642]
Predicted rank: [0], ambiguousness: [[0.8278958 0.1721042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.16655903912357]
Predicted rank: [0], ambiguousness: [[0.7223066  0.27769342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.07337498585662]
Predicted rank: [0], ambiguousness: [[0.8987065  0.10129352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.08914420364707]
Predicted rank: [0], ambiguousness: [[0.8514848  0.14851525]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.26662636409907]
Predicted rank: [0], ambiguousness: [[0.82031083 0.17968915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.33509137752156]
Predicted rank: [0], ambiguousness: [[0.9139394  0.08606058]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.54743413270768]
Predicted rank: [0], ambiguousness: [[0.7291112 0.2708888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.37807627676091]
Predicted rank: [0], ambiguousness: [[0.6061766 0.3938234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.87642630305211]
Predicted rank: [0], ambiguousness: [[0.72234523 0.2776548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.9943994584035]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.71452495471746]
Predicted rank: [0], ambiguousness: [[0.79579586 0.20420414]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.88986159390234]
Predicted rank: [0], ambiguousness: [[0.92846656 0.07153347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.01551487341837]
Predicted rank: [0], ambiguousness: [[0.82355344 0.17644654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.57719657632097]
Predicted rank: [0], ambiguousness: [[0.5709179 0.4290821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.84020095917498]
Predicted rank: [0], ambiguousness: [[0.8541838  0.14581622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.18263965698739]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.75457781141435]
Predicted rank: [0], ambiguousness: [[0.7990426  0.20095743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.91512064837127]
Predicted rank: [0], ambiguousness: [[0.6639592 0.3360408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 107.68079133923587]
Predicted rank: [0], ambiguousness: [[0.80491036 0.19508965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.70995625393743]
Predicted rank: [0], ambiguousness: [[0.85997546 0.14002457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.94037467317486]
Predicted rank: [0], ambiguousness: [[0.8832772  0.11672282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.98740966588826]
Predicted rank: [0], ambiguousness: [[0.7034986 0.2965014]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.16882072194784]
Predicted rank: [0], ambiguousness: [[0.7497182  0.25028184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.70872537880857]
Predicted rank: [0], ambiguousness: [[0.8350748  0.16492522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.60532777666566]
Predicted rank: [0], ambiguousness: [[0.7370746  0.26292542]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.63602490551054]
Predicted rank: [0], ambiguousness: [[0.8884391  0.11156087]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.63410056015918]
Predicted rank: [0], ambiguousness: [[0.80608994 0.19391008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.82234296353722]
Predicted rank: [0], ambiguousness: [[0.8359902 0.1640098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.89422075008525]
Predicted rank: [0], ambiguousness: [[0.9018223  0.09817767]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.84100183163201]
Predicted rank: [0], ambiguousness: [[0.73801434 0.2619857 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.71516533477961]
Predicted rank: [0], ambiguousness: [[0.62957835 0.37042162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.13099280242199]
Predicted rank: [0], ambiguousness: [[0.7450856  0.25491443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.23723692070931]
Predicted rank: [0], ambiguousness: [[0.89433855 0.10566143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.75460199242966]
Predicted rank: [0], ambiguousness: [[0.8482665 0.1517335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.92131672935332]
Predicted rank: [0], ambiguousness: [[0.9301502 0.0698498]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.03710545774565]
Predicted rank: [0], ambiguousness: [[0.83523583 0.16476418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.03502343907587]
Predicted rank: [0], ambiguousness: [[0.6828025 0.3171975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.19597087328961]
Predicted rank: [0], ambiguousness: [[0.8901499  0.10985009]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.37479495369863]
Predicted rank: [0], ambiguousness: [[0.7802952  0.21970482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.52492035230453]
Predicted rank: [0], ambiguousness: [[0.6777122  0.32228783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.11962975191764]
Predicted rank: [0], ambiguousness: [[0.73511446 0.26488554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.67468327759448]
Predicted rank: [0], ambiguousness: [[0.8173359  0.18266411]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.56646328531153]
Predicted rank: [0], ambiguousness: [[0.70755655 0.29244345]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.64961762581169]
Predicted rank: [0], ambiguousness: [[0.87896216 0.12103781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64815440839084]
Predicted rank: [0], ambiguousness: [[0.79574734 0.20425266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.83617115386136]
Predicted rank: [0], ambiguousness: [[0.7950321  0.20496793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.90803709385301]
Predicted rank: [0], ambiguousness: [[0.89978856 0.10021143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.00026608732222]
Predicted rank: [0], ambiguousness: [[0.7297611  0.27023885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.79478798111268]
Predicted rank: [0], ambiguousness: [[0.6192155  0.38078454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.34250833293447]
Predicted rank: [0], ambiguousness: [[0.72840726 0.27159277]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.46893296335807]
Predicted rank: [0], ambiguousness: [[0.8942973  0.10570269]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.30653708846147]
Predicted rank: [0], ambiguousness: [[0.8176762  0.18232381]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.49010746263332]
Predicted rank: [0], ambiguousness: [[0.9257227  0.07427727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.6246512919672]
Predicted rank: [0], ambiguousness: [[0.8298246  0.17017536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.21906695913032]
Predicted rank: [0], ambiguousness: [[0.57835627 0.42164373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.49142144163343]
Predicted rank: [0], ambiguousness: [[0.8490539 0.1509461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.85065021600647]
Predicted rank: [0], ambiguousness: [[0.7802203  0.21977966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.46556098360088]
Predicted rank: [0], ambiguousness: [[0.81735134 0.18264869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75762518094827]
Predicted rank: [0], ambiguousness: [[0.65676737 0.34323263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.44669569202546]
Predicted rank: [0], ambiguousness: [[0.70554626 0.29445374]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.2709594207059]
Predicted rank: [0], ambiguousness: [[0.61017656 0.38982347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.7832548981415]
Predicted rank: [0], ambiguousness: [[0.7052378 0.2947622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.90296403772892]
Predicted rank: [0], ambiguousness: [[0.89037603 0.10962395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.66221608626535]
Predicted rank: [0], ambiguousness: [[0.82365537 0.17634463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.83812785472927]
Predicted rank: [0], ambiguousness: [[0.94138956 0.05861046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.96428113997318]
Predicted rank: [0], ambiguousness: [[0.8245368  0.17546318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.7340899465728]
Predicted rank: [0], ambiguousness: [[0.55169594 0.44830406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.0450075395731]
Predicted rank: [0], ambiguousness: [[0.84418833 0.1558117 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.48786866844263]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.33099697747907]
Predicted rank: [0], ambiguousness: [[0.7823612  0.21763878]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.09049677900302]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 106.93042875203389]
Predicted rank: [0], ambiguousness: [[0.69418    0.30582002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.49873459052347]
Predicted rank: [0], ambiguousness: [[0.78539836 0.21460164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.38402984368966]
Predicted rank: [0], ambiguousness: [[0.7021837  0.29781628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.5108868176514]
Predicted rank: [0], ambiguousness: [[0.83740205 0.16259797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.50714972661783]
Predicted rank: [0], ambiguousness: [[0.77890736 0.22109266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.69676398932612]
Predicted rank: [0], ambiguousness: [[0.77814955 0.22185047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.76915192750506]
Predicted rank: [0], ambiguousness: [[0.8896296  0.11037041]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.85984557046083]
Predicted rank: [0], ambiguousness: [[0.70649683 0.2935032 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.64890380730228]
Predicted rank: [0], ambiguousness: [[0.62353474 0.37646526]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.20536419134055]
Predicted rank: [0], ambiguousness: [[0.74014866 0.2598513 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.33316483979996]
Predicted rank: [0], ambiguousness: [[0.89533806 0.10466193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.19275614272865]
Predicted rank: [0], ambiguousness: [[0.82558596 0.17441407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.37747600150817]
Predicted rank: [0], ambiguousness: [[0.9212202  0.07877981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.51325289366048]
Predicted rank: [0], ambiguousness: [[0.8155055  0.18449448]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.12994012011892]
Predicted rank: [0], ambiguousness: [[0.59295976 0.40704027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.40286783960946]
Predicted rank: [0], ambiguousness: [[0.85046566 0.14953431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.76321442794956]
Predicted rank: [0], ambiguousness: [[0.7761797  0.22382036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.38116255131347]
Predicted rank: [0], ambiguousness: [[0.8128882  0.18711178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.68088516572176]
Predicted rank: [0], ambiguousness: [[0.6514709  0.34852913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.80568249158678]
Predicted rank: [0], ambiguousness: [[0.6868111  0.31318888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.58764661028268]
Predicted rank: [0], ambiguousness: [[0.58851194 0.41148803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.16265531548962]
Predicted rank: [0], ambiguousness: [[0.7073758  0.29262418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.29249505241191]
Predicted rank: [0], ambiguousness: [[0.897426   0.10257397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.20691915621543]
Predicted rank: [0], ambiguousness: [[0.7934948  0.20650516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.39163961943704]
Predicted rank: [0], ambiguousness: [[0.92850304 0.07149699]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.527184841386]
Predicted rank: [0], ambiguousness: [[0.8008402  0.19915982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.11226384985704]
Predicted rank: [0], ambiguousness: [[0.57204497 0.427955  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.44748832824361]
Predicted rank: [0], ambiguousness: [[0.85041016 0.14958982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.9386855756699]
Predicted rank: [0], ambiguousness: [[0.77610385 0.22389616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.91319039712164]
Predicted rank: [0], ambiguousness: [[0.7915145  0.20848551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.72132643667577]
Predicted rank: [0], ambiguousness: [[0.5647438  0.43525618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.61867549851564]
Predicted rank: [0], ambiguousness: [[0.54337823 0.45662174]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.9355170559597]
Predicted rank: [0], ambiguousness: [[0.85861397 0.14138602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.39244318866298]
Predicted rank: [0], ambiguousness: [[0.7723911 0.2276089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.27873646737461]
Predicted rank: [0], ambiguousness: [[0.8127011  0.18729892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.19628736256786]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 106.61383628420401]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.3872499176461]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 105.97805628233982]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.11011546621354]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.06594547454003]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.25205245060874]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.38903348526179]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.96214436378384]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.30151381446838]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.80135510735845]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.80032837410629]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.6338007334778]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.88981146987089]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.23663968414272]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.75534788433058]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.8146019819109]
Predicted rank: [0], ambiguousness: [[0.8080505 0.1919495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.54890692566585]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.0771437625866]
Predicted rank: [0], ambiguousness: [[0.55504036 0.44495964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 104.68475403816814]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.03868287985395]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 105.57315592774594]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.67824045373447]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.40049180560045]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.32066691819699]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.13082574879817]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.55438099548141]
Predicted rank: [0], ambiguousness: [[0.7243382 0.2756618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.19696542276938]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.5989698212251]
Predicted rank: [0], ambiguousness: [[0.81105644 0.18894356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.73673947944118]
Predicted rank: [0], ambiguousness: [[0.8394939  0.16050614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.0843482130908]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 113.31570384978667]
Predicted rank: [0], ambiguousness: [[0.7046565 0.2953435]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 113.48053521149684]
Predicted rank: [0], ambiguousness: [[0.75360864 0.24639134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.86786533383506]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.61227380243773]
Predicted rank: [0], ambiguousness: [[0.6974378  0.30256218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 113.01040586189676]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 113.07408867769499]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 113.10199200502657]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.55384841912534]
Predicted rank: [0], ambiguousness: [[0.7206737 0.2793263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.80010197078647]
Predicted rank: [0], ambiguousness: [[0.7223525 0.2776475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.36865922233768]
Predicted rank: [0], ambiguousness: [[0.80069757 0.19930242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.51793478065434]
Predicted rank: [0], ambiguousness: [[0.82832855 0.17167147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.85072777643128]
Predicted rank: [0], ambiguousness: [[0.72804993 0.27195007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.85757876458925]
Predicted rank: [0], ambiguousness: [[0.6235157  0.37648425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.13058985739276]
Predicted rank: [0], ambiguousness: [[0.7248225  0.27517745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.40701425861472]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.51309677637369]
Predicted rank: [0], ambiguousness: [[0.8287115  0.17128846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.82945971350279]
Predicted rank: [0], ambiguousness: [[0.80515313 0.19484688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.9367689909894]
Predicted rank: [0], ambiguousness: [[0.82541394 0.17458604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.97932878772397]
Predicted rank: [0], ambiguousness: [[0.9015678  0.09843218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.23036616588192]
Predicted rank: [0], ambiguousness: [[0.6679537  0.33204624]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.58011241139258]
Predicted rank: [0], ambiguousness: [[0.69611686 0.30388314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.7274425546709]
Predicted rank: [0], ambiguousness: [[0.74493027 0.2550697 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.76860148993244]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.8334787530901]
Predicted rank: [0], ambiguousness: [[0.6518739 0.3481261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.90661731150809]
Predicted rank: [0], ambiguousness: [[0.8640368  0.13596323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.94093934120937]
Predicted rank: [0], ambiguousness: [[0.65064573 0.34935427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.00506740522746]
Predicted rank: [0], ambiguousness: [[0.72059697 0.27940303]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.53642451757116]
Predicted rank: [0], ambiguousness: [[0.8558333  0.14416668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.68090602855973]
Predicted rank: [0], ambiguousness: [[0.8284057  0.17159432]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.02102250693952]
Predicted rank: [0], ambiguousness: [[0.73056436 0.2694356 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.6228001792845]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.93875796901173]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.19442266834965]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.43519615838571]
Predicted rank: [0], ambiguousness: [[0.80139464 0.19860536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.74351119576727]
Predicted rank: [0], ambiguousness: [[0.7800162  0.21998383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.85770786900869]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.90232186670278]
Predicted rank: [0], ambiguousness: [[0.8958555  0.10414454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.853820618404]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.08217141699367]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.33866717652148]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.40570752598371]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.7002698153892]
Predicted rank: [0], ambiguousness: [[0.7901605  0.20983952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80788359736059]
Predicted rank: [0], ambiguousness: [[0.9261527 0.0738473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.87787834398458]
Predicted rank: [0], ambiguousness: [[0.81440115 0.18559882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.3922106347824]
Predicted rank: [0], ambiguousness: [[0.64408433 0.3559157 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.50043001974814]
Predicted rank: [0], ambiguousness: [[0.8884829  0.11151709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.6162834755985]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.70870752740925]
Predicted rank: [0], ambiguousness: [[0.6490903  0.35090974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.48702463490889]
Predicted rank: [0], ambiguousness: [[0.7411605 0.2588395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.73698050869439]
Predicted rank: [0], ambiguousness: [[0.7562446 0.2437554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31494504809022]
Predicted rank: [0], ambiguousness: [[0.82771236 0.17228763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.46485211899902]
Predicted rank: [0], ambiguousness: [[0.8574773  0.14252268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.7968057777128]
Predicted rank: [0], ambiguousness: [[0.76982874 0.23017126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81463514880993]
Predicted rank: [0], ambiguousness: [[0.6638584  0.33614162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.0881287586453]
Predicted rank: [0], ambiguousness: [[0.7660921  0.23390786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.36419192976278]
Predicted rank: [0], ambiguousness: [[0.7657449  0.23425506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.47186525164585]
Predicted rank: [0], ambiguousness: [[0.865968   0.13403204]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.78800515581582]
Predicted rank: [0], ambiguousness: [[0.8377269 0.1622731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.89544597160528]
Predicted rank: [0], ambiguousness: [[0.8603123  0.13968773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.93804689939543]
Predicted rank: [0], ambiguousness: [[0.91633856 0.08366143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.19228217420505]
Predicted rank: [0], ambiguousness: [[0.71439147 0.2856085 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.5420284197157]
Predicted rank: [0], ambiguousness: [[0.74051857 0.25948146]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.68935856299403]
Predicted rank: [0], ambiguousness: [[0.79139763 0.20860238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.73051749825557]
Predicted rank: [0], ambiguousness: [[0.9080007  0.09199929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.79539476141323]
Predicted rank: [0], ambiguousness: [[0.7226175 0.2773825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.86853331983122]
Predicted rank: [0], ambiguousness: [[0.8834248 0.1165752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.9028553495325]
Predicted rank: [0], ambiguousness: [[0.6895288  0.31047118]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.71008239544832]
Predicted rank: [0], ambiguousness: [[0.75560135 0.24439867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.3144213637552]
Predicted rank: [0], ambiguousness: [[0.838676   0.16132401]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.46431351964114]
Predicted rank: [0], ambiguousness: [[0.84092385 0.15907615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.79635375038251]
Predicted rank: [0], ambiguousness: [[0.74804944 0.25195056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.34248302883168]
Predicted rank: [0], ambiguousness: [[0.663761   0.33623898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.68065401640197]
Predicted rank: [0], ambiguousness: [[0.758434   0.24156602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.92143987297572]
Predicted rank: [0], ambiguousness: [[0.7577255 0.2422745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.23433757087648]
Predicted rank: [0], ambiguousness: [[0.8441103 0.1558897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.5342140979118]
Predicted rank: [0], ambiguousness: [[0.8222154 0.1777846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.6536167913246]
Predicted rank: [0], ambiguousness: [[0.8446831 0.1553169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.6998961158374]
Predicted rank: [0], ambiguousness: [[0.914356   0.08564402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.68092848509244]
Predicted rank: [0], ambiguousness: [[0.6247853  0.37521467]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.90050036696039]
Predicted rank: [0], ambiguousness: [[0.6547172 0.3452828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.16616791818714]
Predicted rank: [0], ambiguousness: [[0.7577121 0.2422879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.23508535911584]
Predicted rank: [0], ambiguousness: [[0.9079642  0.09203575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.54949459044609]
Predicted rank: [0], ambiguousness: [[0.8477798  0.15222019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.65935726404308]
Predicted rank: [0], ambiguousness: [[0.9393108  0.06068921]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.73178857835677]
Predicted rank: [0], ambiguousness: [[0.8549024  0.14509764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.30792040617357]
Predicted rank: [0], ambiguousness: [[0.6972605 0.3027395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.41662986344899]
Predicted rank: [0], ambiguousness: [[0.90425795 0.09574206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.53332191062115]
Predicted rank: [0], ambiguousness: [[0.8054279 0.1945721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.62650965001745]
Predicted rank: [0], ambiguousness: [[0.6959069  0.30409312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.56636548515183]
Predicted rank: [0], ambiguousness: [[0.6774261  0.32257387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.8889251367059]
Predicted rank: [0], ambiguousness: [[0.75583076 0.24416924]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.14199485685687]
Predicted rank: [0], ambiguousness: [[0.7454395  0.25456044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.40518796535466]
Predicted rank: [0], ambiguousness: [[0.86173767 0.13826232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.71307827494287]
Predicted rank: [0], ambiguousness: [[0.86585516 0.13414486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.82760485825278]
Predicted rank: [0], ambiguousness: [[0.83712065 0.16287935]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.87234088350493]
Predicted rank: [0], ambiguousness: [[0.9228145  0.07718551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.42982076257832]
Predicted rank: [0], ambiguousness: [[0.6227975 0.3772025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.62233876823402]
Predicted rank: [0], ambiguousness: [[0.6340828 0.3659172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.93899375044339]
Predicted rank: [0], ambiguousness: [[0.74547607 0.25452393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.01526598699633]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.45476878207319]
Predicted rank: [0], ambiguousness: [[0.81438005 0.18561992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.57018013521764]
Predicted rank: [0], ambiguousness: [[0.9359485  0.06405154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.6489811542887]
Predicted rank: [0], ambiguousness: [[0.84011906 0.15988095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.7004419455265]
Predicted rank: [0], ambiguousness: [[0.59967256 0.4003274 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.872936465639]
Predicted rank: [0], ambiguousness: [[0.86833346 0.13166657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.09170107220899]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.44686789781537]
Predicted rank: [0], ambiguousness: [[0.81739914 0.18260089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.14525945192165]
Predicted rank: [0], ambiguousness: [[0.6898657  0.31013426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.62523588131174]
Predicted rank: [0], ambiguousness: [[0.76808435 0.23191565]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.2468138753182]
Predicted rank: [0], ambiguousness: [[0.8378662  0.16213378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.39744609345681]
Predicted rank: [0], ambiguousness: [[0.8401232 0.1598768]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.72851382799128]
Predicted rank: [0], ambiguousness: [[0.7551028  0.24489717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.27543180627194]
Predicted rank: [0], ambiguousness: [[0.6949893  0.30501065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.61714043881045]
Predicted rank: [0], ambiguousness: [[0.7907394  0.20926055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.85593125092923]
Predicted rank: [0], ambiguousness: [[0.79041886 0.2095811 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.18042322359406]
Predicted rank: [0], ambiguousness: [[0.86625034 0.13374968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.47938217332165]
Predicted rank: [0], ambiguousness: [[0.83805764 0.16194233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.59943609202658]
Predicted rank: [0], ambiguousness: [[0.86386114 0.13613887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64592236920285]
Predicted rank: [0], ambiguousness: [[0.92209464 0.07790533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.63798518789244]
Predicted rank: [0], ambiguousness: [[0.66711944 0.33288056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.85711430476198]
Predicted rank: [0], ambiguousness: [[0.69572914 0.30427086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.12333365083383]
Predicted rank: [0], ambiguousness: [[0.79725164 0.20274836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.1923518160848]
Predicted rank: [0], ambiguousness: [[0.9217919  0.07820806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.5080622890233]
Predicted rank: [0], ambiguousness: [[0.8743648 0.1256352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.61802951859252]
Predicted rank: [0], ambiguousness: [[0.94493043 0.05506958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.6905782375637]
Predicted rank: [0], ambiguousness: [[0.863214   0.13678601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.27004130507251]
Predicted rank: [0], ambiguousness: [[0.74332345 0.25667655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.37875076234792]
Predicted rank: [0], ambiguousness: [[0.9185926  0.08140745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.49544280952011]
Predicted rank: [0], ambiguousness: [[0.82692957 0.17307042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.58863054891638]
Predicted rank: [0], ambiguousness: [[0.73883283 0.26116714]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.2387842661862]
Predicted rank: [0], ambiguousness: [[0.69626516 0.30373484]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.58922944343405]
Predicted rank: [0], ambiguousness: [[0.7888665  0.21113347]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.82516364102578]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.17986881694377]
Predicted rank: [0], ambiguousness: [[0.85965794 0.14034206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.47894122641176]
Predicted rank: [0], ambiguousness: [[0.8404227  0.15957731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.59896879313169]
Predicted rank: [0], ambiguousness: [[0.83983237 0.16016762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64547905243236]
Predicted rank: [0], ambiguousness: [[0.9262729  0.07372705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.14051287051466]
Predicted rank: [0], ambiguousness: [[0.66649497 0.33350506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.31459232151147]
Predicted rank: [0], ambiguousness: [[0.6947253  0.30527475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.65693470864346]
Predicted rank: [0], ambiguousness: [[0.7896208  0.21037918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.7376122843239]
Predicted rank: [0], ambiguousness: [[0.9245587  0.07544129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.2383663424967]
Predicted rank: [0], ambiguousness: [[0.85310686 0.14689317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.35806144274659]
Predicted rank: [0], ambiguousness: [[0.94352025 0.05647975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.44151488393446]
Predicted rank: [0], ambiguousness: [[0.86328924 0.13671076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.5107291464675]
Predicted rank: [0], ambiguousness: [[0.6574867 0.3425133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.68809709720986]
Predicted rank: [0], ambiguousness: [[0.89068466 0.10931536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.91562842527229]
Predicted rank: [0], ambiguousness: [[0.8324422  0.16755776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.29323735859695]
Predicted rank: [0], ambiguousness: [[0.85283375 0.14716628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.06054900461277]
Predicted rank: [0], ambiguousness: [[0.7281004  0.27189958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.37127959090097]
Predicted rank: [0], ambiguousness: [[0.6560427  0.34395728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.56022886670247]
Predicted rank: [0], ambiguousness: [[0.6957403  0.30425972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.88484342997114]
Predicted rank: [0], ambiguousness: [[0.77754325 0.22245677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.96210958675792]
Predicted rank: [0], ambiguousness: [[0.92470753 0.07529245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.42403042095145]
Predicted rank: [0], ambiguousness: [[0.8632754  0.13672462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.53977266040042]
Predicted rank: [0], ambiguousness: [[0.95739996 0.04260005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.61886399273092]
Predicted rank: [0], ambiguousness: [[0.86399144 0.13600855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.19652465960574]
Predicted rank: [0], ambiguousness: [[0.64257675 0.35742325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.39742251998189]
Predicted rank: [0], ambiguousness: [[0.89121735 0.10878265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.67586731641086]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.19238094964258]
Predicted rank: [0], ambiguousness: [[0.8293365  0.17066346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.37122154339441]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.14746198382498]
Predicted rank: [0], ambiguousness: [[0.6795439 0.3204561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.50419226040543]
Predicted rank: [0], ambiguousness: [[0.77280676 0.22719322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.73710724883719]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.1125285244852]
Predicted rank: [0], ambiguousness: [[0.84888417 0.15111583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.41054142431298]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.53132990041041]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.57808820539495]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.07281627053828]
Predicted rank: [0], ambiguousness: [[0.67149603 0.32850397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.24435404558065]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.59084519117636]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.67217682096694]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.18339112375195]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30363150634568]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38767378356093]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.46764085074422]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.64528306183368]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.87335029587669]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.25241750247926]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.02341963944146]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.03326122343879]
Predicted rank: [0], ambiguousness: [[0.6602092  0.33979082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.20067373699895]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.55780828148477]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.64034132196403]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.18287743989401]
Predicted rank: [0], ambiguousness: [[0.8555056  0.14449441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30319866794238]
Predicted rank: [0], ambiguousness: [[0.95324457 0.04675545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38720214722585]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.86921477737825]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.08273689012931]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.38633665725291]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.97131015032781]
Predicted rank: [0], ambiguousness: [[0.8521949 0.1478051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.17619801710197]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.13006081080809]
Predicted rank: [0], ambiguousness: [[0.62917817 0.3708218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.3343345855062]
Predicted rank: [0], ambiguousness: [[0.8981889  0.10181113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6208059417701]
Predicted rank: [0], ambiguousness: [[0.8284415 0.1715585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.16203390823715]
Predicted rank: [0], ambiguousness: [[0.86966556 0.13033444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.83758372921747]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.94192914541128]
Predicted rank: [0], ambiguousness: [[0.643371   0.35662898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.10538102905775]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.4699835482165]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.55356758707427]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.11572463594726]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.23670212989487]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.32139013013932]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.79820545790702]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.01368968038624]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.3213903197776]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91798874799159]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.13507182660541]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.74802841900825]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.96782957867896]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.28634081291213]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91737632931493]
Predicted rank: [0], ambiguousness: [[0.8551752 0.1448248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.49815308479904]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.76994793423877]
Predicted rank: [0], ambiguousness: [[0.63632447 0.36367553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.65668237932636]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.87972607005239]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.20545099962979]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.85749311084166]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.43322392836302]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.37683302250667]
Predicted rank: [0], ambiguousness: [[0.64303994 0.35696003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.32870925634259]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.48697770730064]
Predicted rank: [0], ambiguousness: [[0.7335006  0.26649937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.7369335810861]
Predicted rank: [0], ambiguousness: [[0.7750035 0.2249965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31489812048196]
Predicted rank: [0], ambiguousness: [[0.84128904 0.15871097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.46480519139075]
Predicted rank: [0], ambiguousness: [[0.8627519 0.1372481]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.79675885010454]
Predicted rank: [0], ambiguousness: [[0.7775054  0.22249462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.81458822120166]
Predicted rank: [0], ambiguousness: [[0.69838655 0.30161348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.08808183103704]
Predicted rank: [0], ambiguousness: [[0.78430927 0.2156907 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.36414500215452]
Predicted rank: [0], ambiguousness: [[0.78398156 0.21601842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.4718183240376]
Predicted rank: [0], ambiguousness: [[0.8738187  0.12618129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.78795822820754]
Predicted rank: [0], ambiguousness: [[0.85387254 0.14612743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.89539904399702]
Predicted rank: [0], ambiguousness: [[0.86549836 0.13450164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.93799997178718]
Predicted rank: [0], ambiguousness: [[0.9188152 0.0811848]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.19223524659678]
Predicted rank: [0], ambiguousness: [[0.7352437 0.2647563]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.54198149210745]
Predicted rank: [0], ambiguousness: [[0.7699015  0.23009847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.68931163538576]
Predicted rank: [0], ambiguousness: [[0.80813754 0.19186243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.7304705706473]
Predicted rank: [0], ambiguousness: [[0.91637224 0.08362777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.79534783380495]
Predicted rank: [0], ambiguousness: [[0.74308515 0.25691488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.86848639222295]
Predicted rank: [0], ambiguousness: [[0.89883614 0.10116384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.90280842192425]
Predicted rank: [0], ambiguousness: [[0.7114631 0.2885369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.71003546784007]
Predicted rank: [0], ambiguousness: [[0.75273025 0.24726973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31437443614695]
Predicted rank: [0], ambiguousness: [[0.8468475  0.15315254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.46426659203287]
Predicted rank: [0], ambiguousness: [[0.83046013 0.16953985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.79630682277426]
Predicted rank: [0], ambiguousness: [[0.73341334 0.26658666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.34243610122343]
Predicted rank: [0], ambiguousness: [[0.69051254 0.3094875 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.68060708879372]
Predicted rank: [0], ambiguousness: [[0.77065665 0.22934337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.92139294536746]
Predicted rank: [0], ambiguousness: [[0.76997316 0.23002684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.23429064326822]
Predicted rank: [0], ambiguousness: [[0.8450514  0.15494859]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.53416717030353]
Predicted rank: [0], ambiguousness: [[0.83105266 0.16894732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.65356986371634]
Predicted rank: [0], ambiguousness: [[0.84562135 0.15437862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.69984918822914]
Predicted rank: [0], ambiguousness: [[0.91491574 0.08508427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.68088155748418]
Predicted rank: [0], ambiguousness: [[0.6405655  0.35943446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.90045343935213]
Predicted rank: [0], ambiguousness: [[0.68184334 0.31815666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.16612099057889]
Predicted rank: [0], ambiguousness: [[0.76996017 0.23003982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.23503843150758]
Predicted rank: [0], ambiguousness: [[0.9134841  0.08651593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.54944766283782]
Predicted rank: [0], ambiguousness: [[0.85195327 0.14804672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.65931033643483]
Predicted rank: [0], ambiguousness: [[0.9440963 0.0559037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.73174165074852]
Predicted rank: [0], ambiguousness: [[0.8557895  0.14421053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.3078734785653]
Predicted rank: [0], ambiguousness: [[0.71140057 0.28859943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.41658293584072]
Predicted rank: [0], ambiguousness: [[0.91434443 0.08565556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.53327498301289]
Predicted rank: [0], ambiguousness: [[0.81585014 0.18414989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.62646272240919]
Predicted rank: [0], ambiguousness: [[0.71008384 0.28991613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.56631855754357]
Predicted rank: [0], ambiguousness: [[0.7287363  0.27126375]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.88887820909763]
Predicted rank: [0], ambiguousness: [[0.77526885 0.22473113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.1419479292486]
Predicted rank: [0], ambiguousness: [[0.76544815 0.23455185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.4051410377464]
Predicted rank: [0], ambiguousness: [[0.867313   0.13268696]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.7130313473346]
Predicted rank: [0], ambiguousness: [[0.8859789  0.11402114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.82755793064452]
Predicted rank: [0], ambiguousness: [[0.8435085  0.15649155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.87229395589665]
Predicted rank: [0], ambiguousness: [[0.92613804 0.07386195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.42977383497004]
Predicted rank: [0], ambiguousness: [[0.6478926 0.3521074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.62229184062576]
Predicted rank: [0], ambiguousness: [[0.6891234  0.31087664]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.9389468228351]
Predicted rank: [0], ambiguousness: [[0.7654827  0.23451728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.01521905938807]
Predicted rank: [0], ambiguousness: [[0.9192945  0.08070555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.45472185446492]
Predicted rank: [0], ambiguousness: [[0.8214694  0.17853056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.57013320760937]
Predicted rank: [0], ambiguousness: [[0.9462103  0.05378966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.64893422668044]
Predicted rank: [0], ambiguousness: [[0.8464108  0.15358919]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.70039501791824]
Predicted rank: [0], ambiguousness: [[0.62538075 0.37461928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.87288953803073]
Predicted rank: [0], ambiguousness: [[0.89402723 0.10597275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.09165414460074]
Predicted rank: [0], ambiguousness: [[0.8214013  0.17859872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.44682097020711]
Predicted rank: [0], ambiguousness: [[0.82806504 0.17193496]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.14521252431337]
Predicted rank: [0], ambiguousness: [[0.71255815 0.28744182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.62498298833331]
Predicted rank: [0], ambiguousness: [[0.7566153 0.2433847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.24656098233979]
Predicted rank: [0], ambiguousness: [[0.8314544  0.16854559]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.3971932004784]
Predicted rank: [0], ambiguousness: [[0.8337829  0.16621709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.72826093501287]
Predicted rank: [0], ambiguousness: [[0.7464087  0.25359133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.27517891329353]
Predicted rank: [0], ambiguousness: [[0.68140495 0.31859508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.61688754583204]
Predicted rank: [0], ambiguousness: [[0.78007    0.21992998]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.85567835795084]
Predicted rank: [0], ambiguousness: [[0.77973765 0.22026233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.18017033061565]
Predicted rank: [0], ambiguousness: [[0.86077446 0.13922553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.47912928034324]
Predicted rank: [0], ambiguousness: [[0.8316519  0.16834809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.59918319904816]
Predicted rank: [0], ambiguousness: [[0.8583035  0.14169653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64566947622444]
Predicted rank: [0], ambiguousness: [[0.92012453 0.0798755 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.63773229491403]
Predicted rank: [0], ambiguousness: [[0.6529137 0.3470863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.85686141178357]
Predicted rank: [0], ambiguousness: [[0.6821625  0.31783745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.12308075785543]
Predicted rank: [0], ambiguousness: [[0.7868247  0.21317531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.19209892310639]
Predicted rank: [0], ambiguousness: [[0.91856337 0.08143666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.50780939604488]
Predicted rank: [0], ambiguousness: [[0.8720481  0.12795193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.61777662561411]
Predicted rank: [0], ambiguousness: [[0.94484854 0.05515147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.69032534458528]
Predicted rank: [0], ambiguousness: [[0.85763425 0.14236575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.2697884120941]
Predicted rank: [0], ambiguousness: [[0.7310587 0.2689413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.37849786936953]
Predicted rank: [0], ambiguousness: [[0.915244   0.08475599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.4951899165417]
Predicted rank: [0], ambiguousness: [[0.8176799  0.18232012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.58837765593796]
Predicted rank: [0], ambiguousness: [[0.72643256 0.27356747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.23853137320779]
Predicted rank: [0], ambiguousness: [[0.6741049 0.3258951]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.58897655045564]
Predicted rank: [0], ambiguousness: [[0.77124274 0.22875728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.82491074804739]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.17961592396537]
Predicted rank: [0], ambiguousness: [[0.8489685  0.15103146]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.47868833343338]
Predicted rank: [0], ambiguousness: [[0.8285604  0.17143959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.59871590015328]
Predicted rank: [0], ambiguousness: [[0.82793516 0.17206483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64522615945396]
Predicted rank: [0], ambiguousness: [[0.92159617 0.07840383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.14025997753626]
Predicted rank: [0], ambiguousness: [[0.6432755 0.3567245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.31433942853306]
Predicted rank: [0], ambiguousness: [[0.6725055 0.3274945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.65668181566505]
Predicted rank: [0], ambiguousness: [[0.77204174 0.22795826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.7373593913455]
Predicted rank: [0], ambiguousness: [[0.9185307 0.0814693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.23811344951831]
Predicted rank: [0], ambiguousness: [[0.8420102  0.15798981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.3578085497682]
Predicted rank: [0], ambiguousness: [[0.9398665 0.0601335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.44126199095606]
Predicted rank: [0], ambiguousness: [[0.8528291  0.14717093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.51047625348909]
Predicted rank: [0], ambiguousness: [[0.6339845 0.3660155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.68784420423145]
Predicted rank: [0], ambiguousness: [[0.8822946  0.11770543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.9153755322939]
Predicted rank: [0], ambiguousness: [[0.8176148  0.18238519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.29298446561856]
Predicted rank: [0], ambiguousness: [[0.8450934  0.15490659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.06029611163436]
Predicted rank: [0], ambiguousness: [[0.70728636 0.2927136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.37102669792255]
Predicted rank: [0], ambiguousness: [[0.63249683 0.36750317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.55997597372408]
Predicted rank: [0], ambiguousness: [[0.67355967 0.3264403 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.88459053699273]
Predicted rank: [0], ambiguousness: [[0.7592627  0.24073733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.96185669377951]
Predicted rank: [0], ambiguousness: [[0.9186904  0.08130962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.42377752797304]
Predicted rank: [0], ambiguousness: [[0.8528144  0.14718564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.53951976742201]
Predicted rank: [0], ambiguousness: [[0.9546009  0.04539911]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.6186110997525]
Predicted rank: [0], ambiguousness: [[0.85357594 0.14642408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.19627176662735]
Predicted rank: [0], ambiguousness: [[0.6186449 0.3813551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.39716962700348]
Predicted rank: [0], ambiguousness: [[0.8828628  0.11713721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.67561442343245]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.19212805666416]
Predicted rank: [0], ambiguousness: [[0.8168298 0.1831702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.37096865041602]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.14645890143441]
Predicted rank: [0], ambiguousness: [[0.6398508 0.3601492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.50318917801488]
Predicted rank: [0], ambiguousness: [[0.7433108  0.25668922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.73610416644664]
Predicted rank: [0], ambiguousness: [[0.74105906 0.25894094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.11152544209463]
Predicted rank: [0], ambiguousness: [[0.806366   0.19363397]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.40953834192241]
Predicted rank: [0], ambiguousness: [[0.80096436 0.19903566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.53032681801986]
Predicted rank: [0], ambiguousness: [[0.80026275 0.19973725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.57708512300438]
Predicted rank: [0], ambiguousness: [[0.9018545  0.09814548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.0718131881477]
Predicted rank: [0], ambiguousness: [[0.6350582  0.36494178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.2433509631901]
Predicted rank: [0], ambiguousness: [[0.66503984 0.33496016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.58984210878577]
Predicted rank: [0], ambiguousness: [[0.773468   0.22653198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.67117373857637]
Predicted rank: [0], ambiguousness: [[0.9109865  0.08901352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.18238804136138]
Predicted rank: [0], ambiguousness: [[0.8422649  0.15773508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30262842395513]
Predicted rank: [0], ambiguousness: [[0.9294044 0.0705956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38667070117037]
Predicted rank: [0], ambiguousness: [[0.8326774  0.16732259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.46663776835366]
Predicted rank: [0], ambiguousness: [[0.6358672  0.36413282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.64427997944311]
Predicted rank: [0], ambiguousness: [[0.871863   0.12813702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.87234721348612]
Predicted rank: [0], ambiguousness: [[0.8057792  0.19422075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.2514144200887]
Predicted rank: [0], ambiguousness: [[0.83382237 0.16617766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.02241655705089]
Predicted rank: [0], ambiguousness: [[0.6909971 0.3090029]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.03225814104823]
Predicted rank: [0], ambiguousness: [[0.6324396  0.36756036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.19967065460838]
Predicted rank: [0], ambiguousness: [[0.64360154 0.35639843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.5568051990942]
Predicted rank: [0], ambiguousness: [[0.75322485 0.24677515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.63933823957345]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.18187435750345]
Predicted rank: [0], ambiguousness: [[0.82033145 0.17966853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30219558555183]
Predicted rank: [0], ambiguousness: [[0.9390267  0.06097327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38619906483528]
Predicted rank: [0], ambiguousness: [[0.8266465  0.17335348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.86821169498768]
Predicted rank: [0], ambiguousness: [[0.6250192  0.37498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.08173380773874]
Predicted rank: [0], ambiguousness: [[0.8761588  0.12384123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.38533357486234]
Predicted rank: [0], ambiguousness: [[0.8118123  0.18818773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.97030706793724]
Predicted rank: [0], ambiguousness: [[0.8163879  0.18361214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.17519493471139]
Predicted rank: [0], ambiguousness: [[0.61755013 0.38244987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.12905772841754]
Predicted rank: [0], ambiguousness: [[0.6004076  0.39959243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.33333150311564]
Predicted rank: [0], ambiguousness: [[0.88442886 0.11557111]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.61980285937955]
Predicted rank: [0], ambiguousness: [[0.810474   0.18952604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.16103082584661]
Predicted rank: [0], ambiguousness: [[0.8372828  0.16271721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.83658064682689]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.93859251289933]
Predicted rank: [0], ambiguousness: [[0.61035836 0.38964164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.10204109140733]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.46665017948855]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.55023511150931]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.11240977047069]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.23338775357027]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.31807624659524]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.79489239195561]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.0103780269763]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.31808164582114]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91468868785283]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.13178197068518]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.74479200923498]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.96459316890568]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.28310440313886]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91413991954167]
Predicted rank: [0], ambiguousness: [[0.8283296  0.17167038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.49491667502579]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.7667115244655]
Predicted rank: [0], ambiguousness: [[0.60306203 0.396938  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.64433012646668]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.86748555697483]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.19345850167619]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.84622393515384]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.4217776744324]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.36738547959561]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.27264268994976]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.62498927137423]
Predicted rank: [0], ambiguousness: [[0.7182927  0.28170732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.24656726465908]
Predicted rank: [0], ambiguousness: [[0.8113042  0.18869576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.3971994827736]
Predicted rank: [0], ambiguousness: [[0.8138488 0.1861512]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.7282672173387]
Predicted rank: [0], ambiguousness: [[0.7195208  0.28047916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.27518519534007]
Predicted rank: [0], ambiguousness: [[0.6369227  0.36307725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.61689382776368]
Predicted rank: [0], ambiguousness: [[0.7441919  0.25580812]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.8556846399442]
Predicted rank: [0], ambiguousness: [[0.7438232  0.25617686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.18017661222751]
Predicted rank: [0], ambiguousness: [[0.84346974 0.15653028]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.47913556198094]
Predicted rank: [0], ambiguousness: [[0.81152    0.18847999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.59918948066685]
Predicted rank: [0], ambiguousness: [[0.8407484  0.15925157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64567575783695]
Predicted rank: [0], ambiguousness: [[0.9048879  0.09511208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.63773857610937]
Predicted rank: [0], ambiguousness: [[0.6067493  0.39325067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.85686769298545]
Predicted rank: [0], ambiguousness: [[0.63772994 0.36227006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.12308703904867]
Predicted rank: [0], ambiguousness: [[0.7516978 0.2483022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.19210520429812]
Predicted rank: [0], ambiguousness: [[0.89761126 0.10238871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.5078156772164]
Predicted rank: [0], ambiguousness: [[0.8527312  0.14726874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.6177829067841]
Predicted rank: [0], ambiguousness: [[0.93239754 0.06760244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.69033162575357]
Predicted rank: [0], ambiguousness: [[0.8400117 0.1599883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.26979469321552]
Predicted rank: [0], ambiguousness: [[0.6903589  0.30964115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.37850415049094]
Predicted rank: [0], ambiguousness: [[0.8935369  0.10646307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.49519619766312]
Predicted rank: [0], ambiguousness: [[0.7862561  0.21374393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.58838393705939]
Predicted rank: [0], ambiguousness: [[0.68533397 0.31466606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.23853765178133]
Predicted rank: [0], ambiguousness: [[0.6291582 0.3708418]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.58898282902916]
Predicted rank: [0], ambiguousness: [[0.7344149  0.26558512]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.82491702662091]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.1796222025389]
Predicted rank: [0], ambiguousness: [[0.83048534 0.16951464]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.4786946120069]
Predicted rank: [0], ambiguousness: [[0.8081441  0.19185589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.5987221787268]
Predicted rank: [0], ambiguousness: [[0.80746174 0.19253826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.64523243802748]
Predicted rank: [0], ambiguousness: [[0.9066118  0.09338819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.14026625610978]
Predicted rank: [0], ambiguousness: [[0.59662116 0.4033788 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.31434570710658]
Predicted rank: [0], ambiguousness: [[0.6274601  0.37253985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.65668809423859]
Predicted rank: [0], ambiguousness: [[0.73529834 0.26470166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.73736566991903]
Predicted rank: [0], ambiguousness: [[0.8975712  0.10242882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.23811972809185]
Predicted rank: [0], ambiguousness: [[0.82285315 0.17714685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.35781482834172]
Predicted rank: [0], ambiguousness: [[0.92810154 0.07189847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.44126826952959]
Predicted rank: [0], ambiguousness: [[0.83472633 0.16527365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.51048253206261]
Predicted rank: [0], ambiguousness: [[0.58689535 0.41310462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.68785048280498]
Predicted rank: [0], ambiguousness: [[0.85349953 0.14650047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.91538181086742]
Predicted rank: [0], ambiguousness: [[0.7861827  0.21381728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.29299074419208]
Predicted rank: [0], ambiguousness: [[0.82253546 0.17746453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.06030239020788]
Predicted rank: [0], ambiguousness: [[0.66463935 0.33536065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.37103297649608]
Predicted rank: [0], ambiguousness: [[0.58534145 0.41465852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.5599822522976]
Predicted rank: [0], ambiguousness: [[0.62857926 0.37142077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.88459681556625]
Predicted rank: [0], ambiguousness: [[0.7212033 0.2787967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.96186297235303]
Predicted rank: [0], ambiguousness: [[0.89776736 0.10223263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.4237838065466]
Predicted rank: [0], ambiguousness: [[0.8347102  0.16528982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.53952604599553]
Predicted rank: [0], ambiguousness: [[0.94555163 0.05444836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.61861737832604]
Predicted rank: [0], ambiguousness: [[0.8355474  0.16445263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.19627804520087]
Predicted rank: [0], ambiguousness: [[0.5709179 0.4290821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.397175905577]
Predicted rank: [0], ambiguousness: [[0.8541838  0.14581622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.67562070200597]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.19213433523771]
Predicted rank: [0], ambiguousness: [[0.7953615  0.20463845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.37097492898954]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.14625168948388]
Predicted rank: [0], ambiguousness: [[0.5929886 0.4070114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 111.50298196580638]
Predicted rank: [0], ambiguousness: [[0.7036762  0.29632378]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 110.73589695435331]
Predicted rank: [0], ambiguousness: [[0.7012166  0.29878342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.11131822914373]
Predicted rank: [0], ambiguousness: [[0.7968162  0.20318381]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.40933112900473]
Predicted rank: [0], ambiguousness: [[0.7912171 0.2087829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.53011960507746]
Predicted rank: [0], ambiguousness: [[0.79049015 0.20950988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.5768779100537]
Predicted rank: [0], ambiguousness: [[0.89316434 0.10683567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.07160597495286]
Predicted rank: [0], ambiguousness: [[0.5983397 0.4016603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.24314375007461]
Predicted rank: [0], ambiguousness: [[0.62957835 0.37042162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.58963489553508]
Predicted rank: [0], ambiguousness: [[0.7450856  0.25491443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.67096652530475]
Predicted rank: [0], ambiguousness: [[0.89433855 0.10566143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.18218082773932]
Predicted rank: [0], ambiguousness: [[0.8399799  0.16002011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30242121031668]
Predicted rank: [0], ambiguousness: [[0.9259451 0.0740549]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38646348751476]
Predicted rank: [0], ambiguousness: [[0.8302815  0.16971853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.46643055427619]
Predicted rank: [0], ambiguousness: [[0.5991787 0.4008213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.64407276536141]
Predicted rank: [0], ambiguousness: [[0.8491098  0.15089017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.87213999939604]
Predicted rank: [0], ambiguousness: [[0.7802952  0.21970482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.25120720597596]
Predicted rank: [0], ambiguousness: [[0.82782954 0.17217045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.02220934288614]
Predicted rank: [0], ambiguousness: [[0.6568658  0.34313422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.03205092433558]
Predicted rank: [0], ambiguousness: [[0.575631   0.42436895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.19946343789573]
Predicted rank: [0], ambiguousness: [[0.58739257 0.4126074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.55659798238156]
Predicted rank: [0], ambiguousness: [[0.7064185 0.2935815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.63913102286082]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.18166714079081]
Predicted rank: [0], ambiguousness: [[0.80519557 0.19480446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.30198836883918]
Predicted rank: [0], ambiguousness: [[0.9308895  0.06911052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38599184812264]
Predicted rank: [0], ambiguousness: [[0.81192064 0.18807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.86800447827504]
Predicted rank: [0], ambiguousness: [[0.57835627 0.42164373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.0815265910261]
Predicted rank: [0], ambiguousness: [[0.8490539 0.1509461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.3851263581497]
Predicted rank: [0], ambiguousness: [[0.7802203  0.21977966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.97009985122462]
Predicted rank: [0], ambiguousness: [[0.8077589  0.19224104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.17498771799876]
Predicted rank: [0], ambiguousness: [[0.57059634 0.42940363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.12885051170488]
Predicted rank: [0], ambiguousness: [[0.54223156 0.4577684 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.33312428640299]
Predicted rank: [0], ambiguousness: [[0.8535541  0.14644584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6195956426669]
Predicted rank: [0], ambiguousness: [[0.77122813 0.22877185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.16082360913396]
Predicted rank: [0], ambiguousness: [[0.8232672  0.17673276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.83637343011426]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 110.93762369875004]
Predicted rank: [0], ambiguousness: [[0.5590397 0.4409603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.10107227741159]
Predicted rank: [0], ambiguousness: [[0.58111906 0.41888094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.4656813651845]
Predicted rank: [0], ambiguousness: [[0.7010336  0.29896644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 110.5492662971636]
Predicted rank: [0], ambiguousness: [[0.8903914  0.10960858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.11144095529546]
Predicted rank: [0], ambiguousness: [[0.7765006  0.22349943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.23241893837286]
Predicted rank: [0], ambiguousness: [[0.92361575 0.07638427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.3171074313757]
Predicted rank: [0], ambiguousness: [[0.78920746 0.21079251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.79392357664614]
Predicted rank: [0], ambiguousness: [[0.59295976 0.40704027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.00940921160341]
Predicted rank: [0], ambiguousness: [[0.85046566 0.14953431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.31711283031424]
Predicted rank: [0], ambiguousness: [[0.7761797  0.22382036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91371987195677]
Predicted rank: [0], ambiguousness: [[0.80311793 0.19688207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.13081315431968]
Predicted rank: [0], ambiguousness: [[0.5648511 0.4351489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.74382319022948]
Predicted rank: [0], ambiguousness: [[0.55283844 0.44716159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.96362434990017]
Predicted rank: [0], ambiguousness: [[0.84951466 0.15048535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.28213558413336]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91317110053615]
Predicted rank: [0], ambiguousness: [[0.79338217 0.20661783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.49394785602027]
Predicted rank: [0], ambiguousness: [[0.5647438  0.43525618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.76574270545999]
Predicted rank: [0], ambiguousness: [[0.55148846 0.44851154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 109.64101512913783]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 109.86417346369242]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.19015299054394]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.84293789797525]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.41849247418567]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.36417845098825]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.26020172396855]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Running local search 14
Switching 14 patient(s). Size of neighborhood: 38760
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.69412201389677]
Predicted rank: [0], ambiguousness: [[0.82446194 0.17553803]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.18412631725407]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.82388957045765]
Predicted rank: [0], ambiguousness: [[0.86893106 0.13106897]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.03182366261902]
Predicted rank: [0], ambiguousness: [[0.90337133 0.09662864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.10831774698164]
Predicted rank: [0], ambiguousness: [[0.74155974 0.25844026]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 111.01569212192908]
Predicted rank: [0], ambiguousness: [[0.80841815 0.19158183]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 111.25975499682505]
Predicted rank: [0], ambiguousness: [[0.8464762  0.15352382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 110.40542062803638]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 111.46266426962772]
Predicted rank: [0], ambiguousness: [[0.78871447 0.21128552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 110.62554623796358]
Predicted rank: [0], ambiguousness: [[0.65756 0.34244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.72151565104522]
Predicted rank: [0], ambiguousness: [[0.6596639  0.34033608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.76302358152078]
Predicted rank: [0], ambiguousness: [[0.8120612  0.18793882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.7074166073933]
Predicted rank: [0], ambiguousness: [[0.8284241  0.17157592]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.51717056265247]
Predicted rank: [0], ambiguousness: [[0.82425344 0.17574655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.44446865383492]
Predicted rank: [0], ambiguousness: [[0.8612021  0.13879785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.6722091937051]
Predicted rank: [0], ambiguousness: [[0.8960996  0.10390039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.72272798822462]
Predicted rank: [0], ambiguousness: [[0.72804993 0.27195007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.69143614142044]
Predicted rank: [0], ambiguousness: [[0.74548805 0.25451195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.11108575444518]
Predicted rank: [0], ambiguousness: [[0.8260352  0.17396478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.0748365715914]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.72230605651566]
Predicted rank: [0], ambiguousness: [[0.88103426 0.11896574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.75141777313723]
Predicted rank: [0], ambiguousness: [[0.80515313 0.19484688]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.91741743507536]
Predicted rank: [0], ambiguousness: [[0.82541394 0.17458604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.98242237965755]
Predicted rank: [0], ambiguousness: [[0.9015678  0.09843218]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.91632393411419]
Predicted rank: [0], ambiguousness: [[0.7918422  0.20815775]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 110.00567923560259]
Predicted rank: [0], ambiguousness: [[0.69611686 0.30388314]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.22779701223014]
Predicted rank: [0], ambiguousness: [[0.74493027 0.2550697 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.28901662586381]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.39574925273826]
Predicted rank: [0], ambiguousness: [[0.6518739 0.3481261]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.50313845903423]
Predicted rank: [0], ambiguousness: [[0.8640368  0.13596323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.55760430947029]
Predicted rank: [0], ambiguousness: [[0.65064573 0.34935427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.91249627369497]
Predicted rank: [0], ambiguousness: [[0.8185805 0.1814195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.76527692648304]
Predicted rank: [0], ambiguousness: [[0.9075613  0.09243868]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.9837848954094]
Predicted rank: [0], ambiguousness: [[0.90034497 0.09965505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.04864238906308]
Predicted rank: [0], ambiguousness: [[0.73056436 0.2694356 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.33646556839466]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.82632765486122]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.75625063066286]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.62394518174989]
Predicted rank: [0], ambiguousness: [[0.8660729  0.13392708]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.64046659592853]
Predicted rank: [0], ambiguousness: [[0.7800162  0.21998383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.81737926902845]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.88563276959849]
Predicted rank: [0], ambiguousness: [[0.8958555  0.10414454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.75395488643825]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64618368398155]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.04328608335646]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.14573218905247]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.62239810512304]
Predicted rank: [0], ambiguousness: [[0.7901605  0.20983952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.78458747048938]
Predicted rank: [0], ambiguousness: [[0.9261527 0.0738473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.89549149533819]
Predicted rank: [0], ambiguousness: [[0.81440115 0.18559882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.76864269092412]
Predicted rank: [0], ambiguousness: [[0.64408433 0.3559157 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.92866035223302]
Predicted rank: [0], ambiguousness: [[0.8884829  0.11151709]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.10589822974305]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.25459072677643]
Predicted rank: [0], ambiguousness: [[0.6490903  0.35090974]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.57113466411252]
Predicted rank: [0], ambiguousness: [[0.8294599  0.17054012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.38772576846088]
Predicted rank: [0], ambiguousness: [[0.83542514 0.16457486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.33475251634039]
Predicted rank: [0], ambiguousness: [[0.8707102 0.1292898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.5638168217598]
Predicted rank: [0], ambiguousness: [[0.9070712  0.09292882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.6125423917419]
Predicted rank: [0], ambiguousness: [[0.76982874 0.23017126]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.60398556563963]
Predicted rank: [0], ambiguousness: [[0.76021004 0.23978995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.02464015808444]
Predicted rank: [0], ambiguousness: [[0.84273905 0.15726097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.98762485983869]
Predicted rank: [0], ambiguousness: [[0.7657449  0.23425506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.63841495854373]
Predicted rank: [0], ambiguousness: [[0.8997643 0.1002357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.66705314355924]
Predicted rank: [0], ambiguousness: [[0.8377269 0.1622731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.83332644799745]
Predicted rank: [0], ambiguousness: [[0.8603123  0.13968773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.8984169717236]
Predicted rank: [0], ambiguousness: [[0.91633856 0.08366143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.83894592047938]
Predicted rank: [0], ambiguousness: [[0.81107825 0.18892173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.92830122196779]
Predicted rank: [0], ambiguousness: [[0.74051857 0.25948146]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.15041899859534]
Predicted rank: [0], ambiguousness: [[0.79139763 0.20860238]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.211638612229]
Predicted rank: [0], ambiguousness: [[0.9080007  0.09199929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.31837123910347]
Predicted rank: [0], ambiguousness: [[0.7226175 0.2773825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.42576044539942]
Predicted rank: [0], ambiguousness: [[0.8834248 0.1165752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.48022629583548]
Predicted rank: [0], ambiguousness: [[0.6895288  0.31047118]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.35538189227191]
Predicted rank: [0], ambiguousness: [[0.8307778  0.16922219]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.34829175620013]
Predicted rank: [0], ambiguousness: [[0.8793365  0.12066349]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.57715712640012]
Predicted rank: [0], ambiguousness: [[0.8997918  0.10020822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.62627273835386]
Predicted rank: [0], ambiguousness: [[0.74804944 0.25195056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.80693187706527]
Predicted rank: [0], ambiguousness: [[0.76013047 0.23986953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.33940004408154]
Predicted rank: [0], ambiguousness: [[0.8370566  0.16294344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.2402748729966]
Predicted rank: [0], ambiguousness: [[0.7577255 0.2422745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.24656899332376]
Predicted rank: [0], ambiguousness: [[0.88267136 0.11732865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.24661089104023]
Predicted rank: [0], ambiguousness: [[0.8222154 0.1777846]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.43348750464772]
Predicted rank: [0], ambiguousness: [[0.8446831 0.1553169]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.50493042866493]
Predicted rank: [0], ambiguousness: [[0.914356   0.08564402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.42885665796845]
Predicted rank: [0], ambiguousness: [[0.7408004  0.25919962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.30396189012914]
Predicted rank: [0], ambiguousness: [[0.6547172 0.3452828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.71863799782864]
Predicted rank: [0], ambiguousness: [[0.7577121 0.2422879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.82467231757491]
Predicted rank: [0], ambiguousness: [[0.9079642  0.09203575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.33932850264844]
Predicted rank: [0], ambiguousness: [[0.8477798  0.15222019]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.50582489778984]
Predicted rank: [0], ambiguousness: [[0.9393108  0.06068921]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.62136978295882]
Predicted rank: [0], ambiguousness: [[0.8549024  0.14509764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.6123806160998]
Predicted rank: [0], ambiguousness: [[0.6972605 0.3027395]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.77332805031354]
Predicted rank: [0], ambiguousness: [[0.90425795 0.09574206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.95215213072254]
Predicted rank: [0], ambiguousness: [[0.8054279 0.1945721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10227752932846]
Predicted rank: [0], ambiguousness: [[0.6959069  0.30409312]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.23979378129762]
Predicted rank: [0], ambiguousness: [[0.7712289 0.2287711]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.74119200763978]
Predicted rank: [0], ambiguousness: [[0.8309524  0.16904756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.66650006056693]
Predicted rank: [0], ambiguousness: [[0.7454395  0.25456044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.57331600730001]
Predicted rank: [0], ambiguousness: [[0.9006564  0.09934361]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.58908522509043]
Predicted rank: [0], ambiguousness: [[0.86585516 0.13414486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.76656738554246]
Predicted rank: [0], ambiguousness: [[0.83712065 0.16287935]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.83503239896493]
Predicted rank: [0], ambiguousness: [[0.9228145  0.07718551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.04737515415107]
Predicted rank: [0], ambiguousness: [[0.7333572 0.2666428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.87801729820426]
Predicted rank: [0], ambiguousness: [[0.6340828 0.3659172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.37636732449548]
Predicted rank: [0], ambiguousness: [[0.74547607 0.25452393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.49434047984687]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.21446597616082]
Predicted rank: [0], ambiguousness: [[0.81438005 0.18561992]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.3898026153457]
Predicted rank: [0], ambiguousness: [[0.9359485  0.06405154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.51545589486173]
Predicted rank: [0], ambiguousness: [[0.84011906 0.15988095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.07713759776433]
Predicted rank: [0], ambiguousness: [[0.59967256 0.4003274 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.34014198061836]
Predicted rank: [0], ambiguousness: [[0.86833346 0.13166657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.68258067843075]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.25451883285771]
Predicted rank: [0], ambiguousness: [[0.81739914 0.18260089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.41506166981463]
Predicted rank: [0], ambiguousness: [[0.6898657  0.31013426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.18145742522081]
Predicted rank: [0], ambiguousness: [[0.83527243 0.16472758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.21062234295619]
Predicted rank: [0], ambiguousness: [[0.87533134 0.12466867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.44104076229486]
Predicted rank: [0], ambiguousness: [[0.89638555 0.10361446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48807575487677]
Predicted rank: [0], ambiguousness: [[0.7551028  0.24489717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.66948681200122]
Predicted rank: [0], ambiguousness: [[0.77908593 0.22091408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.2093914693464]
Predicted rank: [0], ambiguousness: [[0.85634595 0.14365403]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.10599386693806]
Predicted rank: [0], ambiguousness: [[0.79041886 0.2095811 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.13669099739289]
Predicted rank: [0], ambiguousness: [[0.89713573 0.10286424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.13476665193022]
Predicted rank: [0], ambiguousness: [[0.83805764 0.16194233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.3230090553883]
Predicted rank: [0], ambiguousness: [[0.86386114 0.13613887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.39488684196238]
Predicted rank: [0], ambiguousness: [[0.92209464 0.07790533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.34166792523618]
Predicted rank: [0], ambiguousness: [[0.768331   0.23166901]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.21583142835578]
Predicted rank: [0], ambiguousness: [[0.69572914 0.30427086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.63165889603457]
Predicted rank: [0], ambiguousness: [[0.79725164 0.20274836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.73790301432823]
Predicted rank: [0], ambiguousness: [[0.9217919  0.07820806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.25526808613378]
Predicted rank: [0], ambiguousness: [[0.8743648 0.1256352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.42198282306376]
Predicted rank: [0], ambiguousness: [[0.94493043 0.05506958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.53777155146328]
Predicted rank: [0], ambiguousness: [[0.863214   0.13678601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.53568953299012]
Predicted rank: [0], ambiguousness: [[0.74332345 0.25667655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.69663696720386]
Predicted rank: [0], ambiguousness: [[0.9185926  0.08140745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.87546104761287]
Predicted rank: [0], ambiguousness: [[0.82692957 0.17307042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.0255864462188]
Predicted rank: [0], ambiguousness: [[0.73883283 0.26116714]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.62029585610162]
Predicted rank: [0], ambiguousness: [[0.78012115 0.21987884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.17534938177843]
Predicted rank: [0], ambiguousness: [[0.8512002  0.14879978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.06712938949546]
Predicted rank: [0], ambiguousness: [[0.77947104 0.22052895]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.15028372999564]
Predicted rank: [0], ambiguousness: [[0.8962232  0.10377683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.14882051257479]
Predicted rank: [0], ambiguousness: [[0.8404227  0.15957731]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.33683725804529]
Predicted rank: [0], ambiguousness: [[0.83983237 0.16016762]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.40870319803695]
Predicted rank: [0], ambiguousness: [[0.9262729  0.07372705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.50093219150617]
Predicted rank: [0], ambiguousness: [[0.76783025 0.23216973]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.29545408529663]
Predicted rank: [0], ambiguousness: [[0.6947253  0.30527475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.84317443711842]
Predicted rank: [0], ambiguousness: [[0.7896208  0.21037918]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.96959906754202]
Predicted rank: [0], ambiguousness: [[0.9245587  0.07544129]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.8072031926454]
Predicted rank: [0], ambiguousness: [[0.85310686 0.14689317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.99077356681727]
Predicted rank: [0], ambiguousness: [[0.94352025 0.05647975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.12531739615115]
Predicted rank: [0], ambiguousness: [[0.86328924 0.13671076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.71973306331427]
Predicted rank: [0], ambiguousness: [[0.6574867 0.3425133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.99208754581738]
Predicted rank: [0], ambiguousness: [[0.89068466 0.10931536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.35131632019042]
Predicted rank: [0], ambiguousness: [[0.8324422  0.16755776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.96622708778482]
Predicted rank: [0], ambiguousness: [[0.85283375 0.14716628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.2582912851322]
Predicted rank: [0], ambiguousness: [[0.7281004  0.27189958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.94736179620939]
Predicted rank: [0], ambiguousness: [[0.753895 0.246105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.77162552488986]
Predicted rank: [0], ambiguousness: [[0.6957403  0.30425972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.28392100232543]
Predicted rank: [0], ambiguousness: [[0.77754325 0.22245677]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.40363014191286]
Predicted rank: [0], ambiguousness: [[0.92470753 0.07529245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.16288219044928]
Predicted rank: [0], ambiguousness: [[0.8632754  0.13672462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.33879395891319]
Predicted rank: [0], ambiguousness: [[0.95739996 0.04260005]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.46494724415712]
Predicted rank: [0], ambiguousness: [[0.86399144 0.13600855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.23475605075674]
Predicted rank: [0], ambiguousness: [[0.64257675 0.35742325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.54567364375706]
Predicted rank: [0], ambiguousness: [[0.89121735 0.10878265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.98853477262656]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.83166308166302]
Predicted rank: [0], ambiguousness: [[0.8293365  0.17066346]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.59116288318695]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.43339985312433]
Predicted rank: [0], ambiguousness: [[0.77293724 0.22706275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.00170569270153]
Predicted rank: [0], ambiguousness: [[0.84378505 0.15621492]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.88700094537252]
Predicted rank: [0], ambiguousness: [[0.7707341  0.22926594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.0138579229505]
Predicted rank: [0], ambiguousness: [[0.8909632  0.10903683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.01012083177386]
Predicted rank: [0], ambiguousness: [[0.84652734 0.15347266]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.19973509458615]
Predicted rank: [0], ambiguousness: [[0.8438616  0.15613845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.27212303280014]
Predicted rank: [0], ambiguousness: [[0.9229301  0.07706986]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.36281667667355]
Predicted rank: [0], ambiguousness: [[0.7781956  0.22180438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.15187491317258]
Predicted rank: [0], ambiguousness: [[0.7032443  0.29675564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.70833529778207]
Predicted rank: [0], ambiguousness: [[0.8004291  0.19957091]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.8361359463297]
Predicted rank: [0], ambiguousness: [[0.92072594 0.07927404]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.69572725073527]
Predicted rank: [0], ambiguousness: [[0.8780921 0.1219079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.88044710958414]
Predicted rank: [0], ambiguousness: [[0.94772565 0.05227434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.01622400180858]
Predicted rank: [0], ambiguousness: [[0.870347   0.12965295]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.63291123001383]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.90583894952209]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.26618553789774]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.88413366135705]
Predicted rank: [0], ambiguousness: [[0.8683822 0.1316178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.18385627598377]
Predicted rank: [0], ambiguousness: [[0.72427464 0.27572536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.30865361211846]
Predicted rank: [0], ambiguousness: [[0.7639593 0.2360407]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.09061773081436]
Predicted rank: [0], ambiguousness: [[0.6744846  0.32551536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.66562643602128]
Predicted rank: [0], ambiguousness: [[0.77511376 0.22488622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.7954661729436]
Predicted rank: [0], ambiguousness: [[0.9232423  0.07675774]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.70989027674713]
Predicted rank: [0], ambiguousness: [[0.8555056  0.14449441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.89461073996873]
Predicted rank: [0], ambiguousness: [[0.95324457 0.04675545]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.0301559619177]
Predicted rank: [0], ambiguousness: [[0.8607941  0.13920587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.61523497038874]
Predicted rank: [0], ambiguousness: [[0.65304184 0.3469582 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.95045944877529]
Predicted rank: [0], ambiguousness: [[0.89078176 0.10921825]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.44165669620156]
Predicted rank: [0], ambiguousness: [[0.8296796  0.17032039]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.41616151765334]
Predicted rank: [0], ambiguousness: [[0.8521949 0.1478051]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.22429755720746]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.12164661904734]
Predicted rank: [0], ambiguousness: [[0.62917817 0.3708218 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.4384881764914]
Predicted rank: [0], ambiguousness: [[0.8981889  0.10181113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.89541430919468]
Predicted rank: [0], ambiguousness: [[0.8284415 0.1715585]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.7817075879063]
Predicted rank: [0], ambiguousness: [[0.86966556 0.13033444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.69925848309956]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.12310738669737]
Predicted rank: [0], ambiguousness: [[0.750318 0.249682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.89653079418444]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.48731814659239]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.61937474828778]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.57515393311309]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.76125949139492]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.89823910780123]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.47134933733287]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.81071469269268]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.3105473677597]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.30949576354789]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.14293912091168]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.39880201986549]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.74563023413731]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.26433843432517]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.32359253190549]
Predicted rank: [0], ambiguousness: [[0.8551752 0.1448248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.05789747566044]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.58613431258121]
Predicted rank: [0], ambiguousness: [[0.63632447 0.36367553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.21614019666768]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.56977423289074]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.1035943299874]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.20677825984262]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.92954202925691]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.84459563287791]
Predicted rank: [0], ambiguousness: [[0.64303994 0.35696003]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.76074279098486]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.57096045291601]
Predicted rank: [0], ambiguousness: [[0.823681   0.17631899]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.38755155726437]
Predicted rank: [0], ambiguousness: [[0.84126294 0.15873705]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.33457830514388]
Predicted rank: [0], ambiguousness: [[0.88130426 0.11869571]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.56364261056328]
Predicted rank: [0], ambiguousness: [[0.91063935 0.08936063]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.61236818054539]
Predicted rank: [0], ambiguousness: [[0.7775054  0.22249462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.60381135444311]
Predicted rank: [0], ambiguousness: [[0.7775453  0.22245474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.02446594688791]
Predicted rank: [0], ambiguousness: [[0.8483645  0.15163553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.98745064864217]
Predicted rank: [0], ambiguousness: [[0.78398156 0.21601842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.63824074734721]
Predicted rank: [0], ambiguousness: [[0.90578556 0.09421442]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.66687893236272]
Predicted rank: [0], ambiguousness: [[0.85387254 0.14612743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.83315223680094]
Predicted rank: [0], ambiguousness: [[0.86549836 0.13450164]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.89824276052708]
Predicted rank: [0], ambiguousness: [[0.9188152 0.0811848]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.83877170928287]
Predicted rank: [0], ambiguousness: [[0.81759113 0.18240885]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.92812701077128]
Predicted rank: [0], ambiguousness: [[0.7699015  0.23009847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.15024478739882]
Predicted rank: [0], ambiguousness: [[0.80813754 0.19186243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.21146440103249]
Predicted rank: [0], ambiguousness: [[0.91637224 0.08362777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.31819702790696]
Predicted rank: [0], ambiguousness: [[0.74308515 0.25691488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.42558623420291]
Predicted rank: [0], ambiguousness: [[0.89883614 0.10116384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.48005208463897]
Predicted rank: [0], ambiguousness: [[0.7114631 0.2885369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.3552076810754]
Predicted rank: [0], ambiguousness: [[0.81967694 0.18032305]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.34811754500362]
Predicted rank: [0], ambiguousness: [[0.88565177 0.11434824]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.57698291520362]
Predicted rank: [0], ambiguousness: [[0.8926331  0.10736689]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.62609852715735]
Predicted rank: [0], ambiguousness: [[0.73341334 0.26658666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.80675766586874]
Predicted rank: [0], ambiguousness: [[0.77106035 0.22893962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.33922583288503]
Predicted rank: [0], ambiguousness: [[0.8379285  0.16207153]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.24010066180008]
Predicted rank: [0], ambiguousness: [[0.76997316 0.23002684]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.24639478212725]
Predicted rank: [0], ambiguousness: [[0.8833332 0.1166668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.2464366798437]
Predicted rank: [0], ambiguousness: [[0.83105266 0.16894732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.43331329345119]
Predicted rank: [0], ambiguousness: [[0.84562135 0.15437862]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.50475621746843]
Predicted rank: [0], ambiguousness: [[0.91491574 0.08508427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.42868244677194]
Predicted rank: [0], ambiguousness: [[0.7420286  0.25797138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.30378767893264]
Predicted rank: [0], ambiguousness: [[0.68184334 0.31815666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.71846378663213]
Predicted rank: [0], ambiguousness: [[0.76996017 0.23003982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.8244981063784]
Predicted rank: [0], ambiguousness: [[0.9134841  0.08651593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.33915429145193]
Predicted rank: [0], ambiguousness: [[0.85195327 0.14804672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.50565068659333]
Predicted rank: [0], ambiguousness: [[0.9440963 0.0559037]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.62119557176231]
Predicted rank: [0], ambiguousness: [[0.8557895  0.14421053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.61220640490328]
Predicted rank: [0], ambiguousness: [[0.71140057 0.28859943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.77315383911703]
Predicted rank: [0], ambiguousness: [[0.91434443 0.08565556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.95197791952603]
Predicted rank: [0], ambiguousness: [[0.81585014 0.18414989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.10210331813192]
Predicted rank: [0], ambiguousness: [[0.71008384 0.28991613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.23961957010111]
Predicted rank: [0], ambiguousness: [[0.8021858 0.1978142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.74101779644327]
Predicted rank: [0], ambiguousness: [[0.8374313  0.16256869]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.66632584937045]
Predicted rank: [0], ambiguousness: [[0.76544815 0.23455185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.5731417961035]
Predicted rank: [0], ambiguousness: [[0.90476996 0.09523004]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.58891101389392]
Predicted rank: [0], ambiguousness: [[0.8859789  0.11402114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.76639317434595]
Predicted rank: [0], ambiguousness: [[0.8435085  0.15649155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.83485818776845]
Predicted rank: [0], ambiguousness: [[0.92613804 0.07386195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.04720094295456]
Predicted rank: [0], ambiguousness: [[0.742417 0.257583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.87784308700776]
Predicted rank: [0], ambiguousness: [[0.6891234  0.31087664]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.37619311329897]
Predicted rank: [0], ambiguousness: [[0.7654827  0.23451728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.49416626865036]
Predicted rank: [0], ambiguousness: [[0.9192945  0.08070555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.21429176496432]
Predicted rank: [0], ambiguousness: [[0.8214694  0.17853056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.38962840414919]
Predicted rank: [0], ambiguousness: [[0.9462103  0.05378966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.51528168366522]
Predicted rank: [0], ambiguousness: [[0.8464108  0.15358919]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.07696338656783]
Predicted rank: [0], ambiguousness: [[0.62538075 0.37461928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.33996776942186]
Predicted rank: [0], ambiguousness: [[0.89402723 0.10597275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.68240646723426]
Predicted rank: [0], ambiguousness: [[0.8214013  0.17859872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.2543446216612]
Predicted rank: [0], ambiguousness: [[0.82806504 0.17193496]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.41488745861813]
Predicted rank: [0], ambiguousness: [[0.71255815 0.28744182]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.18059139297016]
Predicted rank: [0], ambiguousness: [[0.79095745 0.20904255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.20975631070554]
Predicted rank: [0], ambiguousness: [[0.84922314 0.15077686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.44017473004422]
Predicted rank: [0], ambiguousness: [[0.87405217 0.12594785]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48720972262615]
Predicted rank: [0], ambiguousness: [[0.7464087  0.25359133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.66862077975057]
Predicted rank: [0], ambiguousness: [[0.7246387 0.2753613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.20852543709574]
Predicted rank: [0], ambiguousness: [[0.8164545  0.18354549]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.10512783468742]
Predicted rank: [0], ambiguousness: [[0.77973765 0.22026233]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.13582496514226]
Predicted rank: [0], ambiguousness: [[0.87494147 0.1250585 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.1339006196796]
Predicted rank: [0], ambiguousness: [[0.8316519  0.16834809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.32214302313767]
Predicted rank: [0], ambiguousness: [[0.8583035  0.14169653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.39402080971175]
Predicted rank: [0], ambiguousness: [[0.92012453 0.0798755 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.34080189298555]
Predicted rank: [0], ambiguousness: [[0.7122122  0.28778777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.21496539610516]
Predicted rank: [0], ambiguousness: [[0.6821625  0.31783745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.63079286378394]
Predicted rank: [0], ambiguousness: [[0.7868247  0.21317531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.73703698207758]
Predicted rank: [0], ambiguousness: [[0.91856337 0.08143666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.25440205388313]
Predicted rank: [0], ambiguousness: [[0.8720481  0.12795193]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.42111679081312]
Predicted rank: [0], ambiguousness: [[0.94484854 0.05515147]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.53690551921264]
Predicted rank: [0], ambiguousness: [[0.85763425 0.14236575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.53482350073948]
Predicted rank: [0], ambiguousness: [[0.7310587 0.2689413]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.69577093495323]
Predicted rank: [0], ambiguousness: [[0.915244   0.08475599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.87459501536223]
Predicted rank: [0], ambiguousness: [[0.8176799  0.18232012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.02472041396814]
Predicted rank: [0], ambiguousness: [[0.72643256 0.27356747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.61942982385096]
Predicted rank: [0], ambiguousness: [[0.71791923 0.2820808 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.17448334952778]
Predicted rank: [0], ambiguousness: [[0.80405545 0.19594456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.06626335724482]
Predicted rank: [0], ambiguousness: [[0.76130027 0.23869975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.14941769774498]
Predicted rank: [0], ambiguousness: [[0.8694465 0.1305535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.14795448032413]
Predicted rank: [0], ambiguousness: [[0.8285604  0.17143959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.33597122579465]
Predicted rank: [0], ambiguousness: [[0.82793516 0.17206483]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.4078371657863]
Predicted rank: [0], ambiguousness: [[0.92159617 0.07840383]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.50006615925551]
Predicted rank: [0], ambiguousness: [[0.70347285 0.29652715]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.29458805304598]
Predicted rank: [0], ambiguousness: [[0.6725055 0.3274945]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.84230840486777]
Predicted rank: [0], ambiguousness: [[0.77204174 0.22795826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.96873303529138]
Predicted rank: [0], ambiguousness: [[0.9185307 0.0814693]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.80633716039476]
Predicted rank: [0], ambiguousness: [[0.8420102  0.15798981]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.98990753456663]
Predicted rank: [0], ambiguousness: [[0.9398665 0.0601335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.1244513639005]
Predicted rank: [0], ambiguousness: [[0.8528291  0.14717093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.71886703106361]
Predicted rank: [0], ambiguousness: [[0.6339845 0.3660155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.99122151356673]
Predicted rank: [0], ambiguousness: [[0.8822946  0.11770543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.35045028793978]
Predicted rank: [0], ambiguousness: [[0.8176148  0.18238519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.96536105553417]
Predicted rank: [0], ambiguousness: [[0.8450934  0.15490659]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.25742525288157]
Predicted rank: [0], ambiguousness: [[0.70728636 0.2927136 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.94649576395878]
Predicted rank: [0], ambiguousness: [[0.6872481  0.31275186]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.77075949263921]
Predicted rank: [0], ambiguousness: [[0.67355967 0.3264403 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.2830549700748]
Predicted rank: [0], ambiguousness: [[0.7592627  0.24073733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.40276410966223]
Predicted rank: [0], ambiguousness: [[0.9186904  0.08130962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.16201615819867]
Predicted rank: [0], ambiguousness: [[0.8528144  0.14718564]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.33792792666256]
Predicted rank: [0], ambiguousness: [[0.9546009  0.04539911]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.46408121190649]
Predicted rank: [0], ambiguousness: [[0.85357594 0.14642408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.23389001850609]
Predicted rank: [0], ambiguousness: [[0.6186449 0.3813551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.5448076115064]
Predicted rank: [0], ambiguousness: [[0.8828628  0.11713721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.98766874037592]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.83079704941238]
Predicted rank: [0], ambiguousness: [[0.8168298 0.1831702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.59029685093631]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.43027569049264]
Predicted rank: [0], ambiguousness: [[0.6782132  0.32178682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.99858153006986]
Predicted rank: [0], ambiguousness: [[0.7726342 0.2273658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.88387678274084]
Predicted rank: [0], ambiguousness: [[0.74105906 0.25894094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.01073376031883]
Predicted rank: [0], ambiguousness: [[0.82704985 0.17295018]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.00699666914218]
Predicted rank: [0], ambiguousness: [[0.80096436 0.19903566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.19661093195445]
Predicted rank: [0], ambiguousness: [[0.80026275 0.19973725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.26899887016845]
Predicted rank: [0], ambiguousness: [[0.9018545  0.09814548]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.35969251404185]
Predicted rank: [0], ambiguousness: [[0.68820965 0.31179032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.1487507505409]
Predicted rank: [0], ambiguousness: [[0.66503984 0.33496016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.70521113515038]
Predicted rank: [0], ambiguousness: [[0.773468   0.22653198]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.83301178369803]
Predicted rank: [0], ambiguousness: [[0.9109865  0.08901352]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.6926030881036]
Predicted rank: [0], ambiguousness: [[0.8422649  0.15773508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.87732294695246]
Predicted rank: [0], ambiguousness: [[0.9294044 0.0705956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.0130998391769]
Predicted rank: [0], ambiguousness: [[0.8326774  0.16732259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.62978706738213]
Predicted rank: [0], ambiguousness: [[0.6358672  0.36413282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.9027147868904]
Predicted rank: [0], ambiguousness: [[0.871863   0.12813702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.26306137526606]
Predicted rank: [0], ambiguousness: [[0.8057792  0.19422075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.88100949872538]
Predicted rank: [0], ambiguousness: [[0.83382237 0.16617766]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.18073211335208]
Predicted rank: [0], ambiguousness: [[0.6909971 0.3090029]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.30552944948678]
Predicted rank: [0], ambiguousness: [[0.67929673 0.32070324]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.08749356818268]
Predicted rank: [0], ambiguousness: [[0.64360154 0.35639843]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.6625022733896]
Predicted rank: [0], ambiguousness: [[0.75322485 0.24677515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.79234201031191]
Predicted rank: [0], ambiguousness: [[0.9168408  0.08315922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.70676611411544]
Predicted rank: [0], ambiguousness: [[0.82033145 0.17966853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.89148657733705]
Predicted rank: [0], ambiguousness: [[0.9390267  0.06097327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.027031799286]
Predicted rank: [0], ambiguousness: [[0.8266465  0.17335348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.61211080775703]
Predicted rank: [0], ambiguousness: [[0.6250192  0.37498078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.9473352861436]
Predicted rank: [0], ambiguousness: [[0.8761588  0.12384123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.43853253356988]
Predicted rank: [0], ambiguousness: [[0.8118123  0.18818773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.41303735502163]
Predicted rank: [0], ambiguousness: [[0.8163879  0.18361214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.22117339457576]
Predicted rank: [0], ambiguousness: [[0.61755013 0.38244987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.11852245641565]
Predicted rank: [0], ambiguousness: [[0.6004076  0.39959243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.4353640138597]
Predicted rank: [0], ambiguousness: [[0.88442886 0.11557111]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.89229014656297]
Predicted rank: [0], ambiguousness: [[0.810474   0.18952604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.77858342527462]
Predicted rank: [0], ambiguousness: [[0.8372828  0.16271721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.69613432046786]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.11370315102855]
Predicted rank: [0], ambiguousness: [[0.6666697  0.33333024]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.8871167838075]
Predicted rank: [0], ambiguousness: [[0.63573134 0.3642687 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.47792314980437]
Predicted rank: [0], ambiguousness: [[0.7437898 0.2562102]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.6099823338539]
Predicted rank: [0], ambiguousness: [[0.9065169  0.09348309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.56581234567633]
Predicted rank: [0], ambiguousness: [[0.8139331  0.18606694]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.7519193218389]
Predicted rank: [0], ambiguousness: [[0.9394369  0.06056309]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.88890035658503]
Predicted rank: [0], ambiguousness: [[0.824705   0.17529497]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.46201123536463]
Predicted rank: [0], ambiguousness: [[0.6404332 0.3595668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.80138068631771]
Predicted rank: [0], ambiguousness: [[0.8763143  0.12368573]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.30122197977386]
Predicted rank: [0], ambiguousness: [[0.80885506 0.19114491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.3001952481627]
Predicted rank: [0], ambiguousness: [[0.8350421  0.16495787]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.13366760948223]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.38967835653284]
Predicted rank: [0], ambiguousness: [[0.604842 0.395158]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.73650657080465]
Predicted rank: [0], ambiguousness: [[0.8768602  0.12313978]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.25521477099252]
Predicted rank: [0], ambiguousness: [[0.80831546 0.19168453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.31446886857285]
Predicted rank: [0], ambiguousness: [[0.8283296  0.17167038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.0487738123278]
Predicted rank: [0], ambiguousness: [[0.6128921 0.3871079]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.57701064924855]
Predicted rank: [0], ambiguousness: [[0.60306203 0.396938  ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.18462332584939]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.53855216753522]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.0730252154272]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.17810974141571]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.90036109328172]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.82053620587826]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.63069503647944]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.18063435659099]
Predicted rank: [0], ambiguousness: [[0.816879   0.18312103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.20979927129255]
Predicted rank: [0], ambiguousness: [[0.8691152  0.13088481]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.44021769052998]
Predicted rank: [0], ambiguousness: [[0.8910886  0.10891142]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48725268324338]
Predicted rank: [0], ambiguousness: [[0.7195208  0.28047916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.66866373930296]
Predicted rank: [0], ambiguousness: [[0.7562495 0.2437505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.20856839616368]
Predicted rank: [0], ambiguousness: [[0.8398545  0.16014555]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.10517079402078]
Predicted rank: [0], ambiguousness: [[0.7438232  0.25617686]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.13586792286567]
Predicted rank: [0], ambiguousness: [[0.8918725  0.10812748]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.13394357751432]
Predicted rank: [0], ambiguousness: [[0.81152    0.18847999]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.32218598089236]
Predicted rank: [0], ambiguousness: [[0.8407484  0.15925157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.39406376744037]
Predicted rank: [0], ambiguousness: [[0.9048879  0.09511208]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.34084484898713]
Predicted rank: [0], ambiguousness: [[0.7447471 0.2552529]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.21500835213473]
Predicted rank: [0], ambiguousness: [[0.63772994 0.36227006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.6308358197771]
Predicted rank: [0], ambiguousness: [[0.7516978 0.2483022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.73707993806443]
Predicted rank: [0], ambiguousness: [[0.89761126 0.10238871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.25444500978477]
Predicted rank: [0], ambiguousness: [[0.8527312  0.14726874]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.42115974670844]
Predicted rank: [0], ambiguousness: [[0.93239754 0.06760244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.53694847510079]
Predicted rank: [0], ambiguousness: [[0.8400117 0.1599883]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.534866456431]
Predicted rank: [0], ambiguousness: [[0.6903589  0.30964115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.69581389064473]
Predicted rank: [0], ambiguousness: [[0.8935369  0.10646307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.87463797105374]
Predicted rank: [0], ambiguousness: [[0.7862561  0.21374393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.02476336965967]
Predicted rank: [0], ambiguousness: [[0.68533397 0.31466606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.61947276927278]
Predicted rank: [0], ambiguousness: [[0.7500353  0.24996468]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.17452629494962]
Predicted rank: [0], ambiguousness: [[0.8287045  0.17129551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.06630630266665]
Predicted rank: [0], ambiguousness: [[0.7234457 0.2765543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.14946064316683]
Predicted rank: [0], ambiguousness: [[0.8870254 0.1129746]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.14799742574596]
Predicted rank: [0], ambiguousness: [[0.8081441  0.19185589]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.33601417121648]
Predicted rank: [0], ambiguousness: [[0.80746174 0.19253826]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.40788011120813]
Predicted rank: [0], ambiguousness: [[0.9066118  0.09338819]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.50010910467734]
Predicted rank: [0], ambiguousness: [[0.7366303  0.26336965]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.2946309984678]
Predicted rank: [0], ambiguousness: [[0.6274601  0.37253985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.8423513502896]
Predicted rank: [0], ambiguousness: [[0.73529834 0.26470166]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.96877598071319]
Predicted rank: [0], ambiguousness: [[0.8975712  0.10242882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.8063801058166]
Predicted rank: [0], ambiguousness: [[0.82285315 0.17714685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.98995047998844]
Predicted rank: [0], ambiguousness: [[0.92810154 0.07189847]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.12449430932233]
Predicted rank: [0], ambiguousness: [[0.83472633 0.16527365]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.71890997648545]
Predicted rank: [0], ambiguousness: [[0.58689535 0.41310462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.99126445898855]
Predicted rank: [0], ambiguousness: [[0.85349953 0.14650047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.35049323336159]
Predicted rank: [0], ambiguousness: [[0.7861827  0.21381728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.965404000956]
Predicted rank: [0], ambiguousness: [[0.82253546 0.17746453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.2574681983034]
Predicted rank: [0], ambiguousness: [[0.66463935 0.33536065]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.94653870938058]
Predicted rank: [0], ambiguousness: [[0.72150165 0.27849835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.77080243806103]
Predicted rank: [0], ambiguousness: [[0.62857926 0.37142077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.28309791549663]
Predicted rank: [0], ambiguousness: [[0.7212033 0.2787967]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.40280705508405]
Predicted rank: [0], ambiguousness: [[0.89776736 0.10223263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.16205910362046]
Predicted rank: [0], ambiguousness: [[0.8347102  0.16528982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.33797087208438]
Predicted rank: [0], ambiguousness: [[0.94555163 0.05444836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.46412415732831]
Predicted rank: [0], ambiguousness: [[0.8355474  0.16445263]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.23393296392794]
Predicted rank: [0], ambiguousness: [[0.5709179 0.4290821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.54485055692824]
Predicted rank: [0], ambiguousness: [[0.8541838  0.14581622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.98771168579775]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.83083999483421]
Predicted rank: [0], ambiguousness: [[0.7953615  0.20463845]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.59033979635814]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.42959562903496]
Predicted rank: [0], ambiguousness: [[0.7204163  0.27958372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 107.99790146752454]
Predicted rank: [0], ambiguousness: [[0.80599606 0.19400394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 106.88319672069073]
Predicted rank: [0], ambiguousness: [[0.7012166  0.29878342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.01005369465247]
Predicted rank: [0], ambiguousness: [[0.86273015 0.13726987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.0063166036189]
Predicted rank: [0], ambiguousness: [[0.7912171 0.2087829]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.1959308663272]
Predicted rank: [0], ambiguousness: [[0.79049015 0.20950988]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.26831880450615]
Predicted rank: [0], ambiguousness: [[0.89316434 0.10683567]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.35901244746191]
Predicted rank: [0], ambiguousness: [[0.73801434 0.2619857 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.14807068430336]
Predicted rank: [0], ambiguousness: [[0.62957835 0.37042162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.70453106834162]
Predicted rank: [0], ambiguousness: [[0.7450856  0.25491443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.83233171680104]
Predicted rank: [0], ambiguousness: [[0.89433855 0.10566143]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.69192301972973]
Predicted rank: [0], ambiguousness: [[0.8399799  0.16002011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.87664287850924]
Predicted rank: [0], ambiguousness: [[0.9259451 0.0740549]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.01241977066155]
Predicted rank: [0], ambiguousness: [[0.8302815  0.16971853]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.62910699712]
Predicted rank: [0], ambiguousness: [[0.5991787 0.4008213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.90203471661053]
Predicted rank: [0], ambiguousness: [[0.8491098  0.15089017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.26238130495064]
Predicted rank: [0], ambiguousness: [[0.7802952  0.21970482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.88032942831455]
Predicted rank: [0], ambiguousness: [[0.82782954 0.17217045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.18005204272285]
Predicted rank: [0], ambiguousness: [[0.6568658  0.34313422]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.30484936858785]
Predicted rank: [0], ambiguousness: [[0.7134186 0.2865814]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.08681348728375]
Predicted rank: [0], ambiguousness: [[0.58739257 0.4126074 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.66182219249069]
Predicted rank: [0], ambiguousness: [[0.7064185 0.2935815]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.791661929413]
Predicted rank: [0], ambiguousness: [[0.89358306 0.10641695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.70608603321651]
Predicted rank: [0], ambiguousness: [[0.80519557 0.19480446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.89080649643812]
Predicted rank: [0], ambiguousness: [[0.9308895  0.06911052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.02635171838708]
Predicted rank: [0], ambiguousness: [[0.81192064 0.18807939]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.61143072685812]
Predicted rank: [0], ambiguousness: [[0.57835627 0.42164373]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.94665520524468]
Predicted rank: [0], ambiguousness: [[0.8490539 0.1509461]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.43785245267097]
Predicted rank: [0], ambiguousness: [[0.7802203  0.21977966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.41235727412273]
Predicted rank: [0], ambiguousness: [[0.8077589  0.19224104]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.22049331367685]
Predicted rank: [0], ambiguousness: [[0.57059634 0.42940363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.11784237551672]
Predicted rank: [0], ambiguousness: [[0.54223156 0.4577684 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.43468393296078]
Predicted rank: [0], ambiguousness: [[0.8535541  0.14644584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.89161006566407]
Predicted rank: [0], ambiguousness: [[0.77122813 0.22877185]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.77790334437569]
Predicted rank: [0], ambiguousness: [[0.8232672  0.17673276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.69545423956893]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.11071832211405]
Predicted rank: [0], ambiguousness: [[0.67063355 0.32936645]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 105.88413195555617]
Predicted rank: [0], ambiguousness: [[0.58111906 0.41888094]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.47493832024986]
Predicted rank: [0], ambiguousness: [[0.7010336  0.29896644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 106.6069975041236]
Predicted rank: [0], ambiguousness: [[0.8903914  0.10960858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.5628275124501]
Predicted rank: [0], ambiguousness: [[0.7765006  0.22349943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.7489344885188]
Predicted rank: [0], ambiguousness: [[0.92361575 0.07638427]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.88591552317185]
Predicted rank: [0], ambiguousness: [[0.78920746 0.21079251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.4590264016939]
Predicted rank: [0], ambiguousness: [[0.59295976 0.40704027]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.79839585237843]
Predicted rank: [0], ambiguousness: [[0.85046566 0.14953431]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.2982371452685]
Predicted rank: [0], ambiguousness: [[0.7761797  0.22382036]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.29721041201636]
Predicted rank: [0], ambiguousness: [[0.80311793 0.19688207]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.13068277138785]
Predicted rank: [0], ambiguousness: [[0.5648511 0.4351489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.38669350778095]
Predicted rank: [0], ambiguousness: [[0.55283844 0.44716159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.73352172205277]
Predicted rank: [0], ambiguousness: [[0.84951466 0.15048535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.25222992224062]
Predicted rank: [0], ambiguousness: [[0.7733892  0.22661081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.31148401982097]
Predicted rank: [0], ambiguousness: [[0.79338217 0.20661783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.04578896357592]
Predicted rank: [0], ambiguousness: [[0.5647438  0.43525618]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.57402580049666]
Predicted rank: [0], ambiguousness: [[0.55148846 0.44851154]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.17531579394895]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 105.52925305954847]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.06374515786153]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.16888592843324]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.8911379544655]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.81153192766345]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 104.5989829314326]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.9869731329621]
Predicted rank: [0], ambiguousness: [[0.7060771 0.2939229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.2369290067476]
Predicted rank: [0], ambiguousness: [[0.72244    0.27755997]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.81489354614342]
Predicted rank: [0], ambiguousness: [[0.80121386 0.19878614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.96480061705222]
Predicted rank: [0], ambiguousness: [[0.8346422 0.1653578]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.29675427576603]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.31458364686313]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.58807725669851]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.86414042781598]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.97181374969907]
Predicted rank: [0], ambiguousness: [[0.8442461  0.15575391]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.28795365386904]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.3953944696585]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.43799539744865]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.69223067225826]
Predicted rank: [0], ambiguousness: [[0.6772597  0.32274032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 113.04197691776892]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 113.18930706104724]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 113.23046599630877]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 113.29534325946643]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 113.36848181788443]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 113.40280384758572]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.21003089350154]
Predicted rank: [0], ambiguousness: [[0.72174037 0.2782596 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.81436986180844]
Predicted rank: [0], ambiguousness: [[0.8134837  0.18651626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.96426201769435]
Predicted rank: [0], ambiguousness: [[0.8160056  0.18399441]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.29630224843574]
Predicted rank: [0], ambiguousness: [[0.7135389  0.28646114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.84243152688491]
Predicted rank: [0], ambiguousness: [[0.6235157  0.37648425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.18060251445519]
Predicted rank: [0], ambiguousness: [[0.7248225  0.27517745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.42138837102894]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.73428606892972]
Predicted rank: [0], ambiguousness: [[0.81958413 0.18041588]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.03416259596503]
Predicted rank: [0], ambiguousness: [[0.7950808  0.20491923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.15356528937782]
Predicted rank: [0], ambiguousness: [[0.82022786 0.17977215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.19984461389062]
Predicted rank: [0], ambiguousness: [[0.8995666 0.1004334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.18087698314567]
Predicted rank: [0], ambiguousness: [[0.5828072  0.41719282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.4004488650136]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.66611641624036]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.73503385716907]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.04944308849932]
Predicted rank: [0], ambiguousness: [[0.82371044 0.17628959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.15930576209631]
Predicted rank: [0], ambiguousness: [[0.92849374 0.07150628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.23173707641]
Predicted rank: [0], ambiguousness: [[0.8317356  0.16826436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.80786890422678]
Predicted rank: [0], ambiguousness: [[0.65896475 0.34103522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.9165783615022]
Predicted rank: [0], ambiguousness: [[0.8879385  0.11206149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 113.03327040867438]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.12645814807065]
Predicted rank: [0], ambiguousness: [[0.657524   0.34247598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.06631398320505]
Predicted rank: [0], ambiguousness: [[0.6379243  0.36207572]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.38887363475911]
Predicted rank: [0], ambiguousness: [[0.7219899  0.27801007]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.64194335491007]
Predicted rank: [0], ambiguousness: [[0.71070975 0.28929025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.90513646340787]
Predicted rank: [0], ambiguousness: [[0.83945733 0.16054265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.21302677299609]
Predicted rank: [0], ambiguousness: [[0.84411836 0.15588167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.327553356306]
Predicted rank: [0], ambiguousness: [[0.81174004 0.18825994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.37228938155813]
Predicted rank: [0], ambiguousness: [[0.909341   0.09065904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.92976926063153]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.12228726628724]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.4389422484966]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.51521448504954]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.9547172801264]
Predicted rank: [0], ambiguousness: [[0.78636026 0.21363972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.07012863327085]
Predicted rank: [0], ambiguousness: [[0.9245802  0.07541977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.1489296523419]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.2003904435797]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.3728849636922]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.5916495702622]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.94681639586858]
Predicted rank: [0], ambiguousness: [[0.7897174  0.21028262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.64520794997485]
Predicted rank: [0], ambiguousness: [[0.65110266 0.34889734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.12497948878914]
Predicted rank: [0], ambiguousness: [[0.74164045 0.25835958]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.7465574827956]
Predicted rank: [0], ambiguousness: [[0.8287808  0.17121926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.8971897009342]
Predicted rank: [0], ambiguousness: [[0.83113873 0.16886128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.22825743546868]
Predicted rank: [0], ambiguousness: [[0.7428032  0.25719675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.77517541374934]
Predicted rank: [0], ambiguousness: [[0.6638584  0.33614162]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.11688404628785]
Predicted rank: [0], ambiguousness: [[0.7660921  0.23390786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.35567485840663]
Predicted rank: [0], ambiguousness: [[0.7657449  0.23425506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.68016683107146]
Predicted rank: [0], ambiguousness: [[0.8584868  0.14151323]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.97912578079905]
Predicted rank: [0], ambiguousness: [[0.82898074 0.17101926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.09917969950398]
Predicted rank: [0], ambiguousness: [[0.85598195 0.14401805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.14566597668025]
Predicted rank: [0], ambiguousness: [[0.9146092  0.08539078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.13772879536984]
Predicted rank: [0], ambiguousness: [[0.6346394  0.36536062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.35685791223938]
Predicted rank: [0], ambiguousness: [[0.6646372  0.33536276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.62307725831123]
Predicted rank: [0], ambiguousness: [[0.7731513  0.22684872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.6920954235622]
Predicted rank: [0], ambiguousness: [[0.9080007  0.09199929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.0078058965007]
Predicted rank: [0], ambiguousness: [[0.8669999  0.13300008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.11777312606992]
Predicted rank: [0], ambiguousness: [[0.93949515 0.06050487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.1903218450411]
Predicted rank: [0], ambiguousness: [[0.85530365 0.14469638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.76978491254991]
Predicted rank: [0], ambiguousness: [[0.71510345 0.28489655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.87849436982532]
Predicted rank: [0], ambiguousness: [[0.9042957  0.09570429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.99518641699751]
Predicted rank: [0], ambiguousness: [[0.8054963  0.19450372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.08837415639378]
Predicted rank: [0], ambiguousness: [[0.7103116 0.2896884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.7385278736636]
Predicted rank: [0], ambiguousness: [[0.6563591 0.3436409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.08897305091145]
Predicted rank: [0], ambiguousness: [[0.7568787  0.24312134]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.32490724850318]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.67961242442117]
Predicted rank: [0], ambiguousness: [[0.84652144 0.15347855]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.97868483388916]
Predicted rank: [0], ambiguousness: [[0.8258505  0.17414953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.09871240060909]
Predicted rank: [0], ambiguousness: [[0.8252175  0.17478254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.14522265990976]
Predicted rank: [0], ambiguousness: [[0.9161733  0.08382674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.64025647799205]
Predicted rank: [0], ambiguousness: [[0.6247853  0.37521467]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.81433592898887]
Predicted rank: [0], ambiguousness: [[0.6547172 0.3452828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.15667831612086]
Predicted rank: [0], ambiguousness: [[0.7577121 0.2422879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.2373558918013]
Predicted rank: [0], ambiguousness: [[0.9079642  0.09203575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.7381099499741]
Predicted rank: [0], ambiguousness: [[0.83947164 0.16052838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.85780505022399]
Predicted rank: [0], ambiguousness: [[0.935619 0.064381]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.94125849141186]
Predicted rank: [0], ambiguousness: [[0.85043347 0.1495665 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.0104727539449]
Predicted rank: [0], ambiguousness: [[0.6153008  0.38469923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.18784070468726]
Predicted rank: [0], ambiguousness: [[0.8677053 0.1322947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.41537203274969]
Predicted rank: [0], ambiguousness: [[0.8054279 0.1945721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.79298096607435]
Predicted rank: [0], ambiguousness: [[0.83917797 0.16082205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.56029261209017]
Predicted rank: [0], ambiguousness: [[0.6905179 0.3094821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.87102319837837]
Predicted rank: [0], ambiguousness: [[0.6137835  0.38621655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.05997247417987]
Predicted rank: [0], ambiguousness: [[0.6557994  0.34420064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.38458703744854]
Predicted rank: [0], ambiguousness: [[0.7443956 0.2556044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.46185319423532]
Predicted rank: [0], ambiguousness: [[0.90814257 0.0918574 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.92377402842885]
Predicted rank: [0], ambiguousness: [[0.85041857 0.1495814 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.03951626787781]
Predicted rank: [0], ambiguousness: [[0.95134026 0.04865975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.11860760020832]
Predicted rank: [0], ambiguousness: [[0.8511904  0.14880961]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.69626826708314]
Predicted rank: [0], ambiguousness: [[0.59967256 0.4003274 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.89716612745929]
Predicted rank: [0], ambiguousness: [[0.86833346 0.13166657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.17561092388826]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.69212455711998]
Predicted rank: [0], ambiguousness: [[0.81397605 0.18602394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.87096515087181]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.64645585537264]
Predicted rank: [0], ambiguousness: [[0.67170864 0.32829136]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.00318613195309]
Predicted rank: [0], ambiguousness: [[0.7693163 0.2306837]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.23610112038484]
Predicted rank: [0], ambiguousness: [[0.76722133 0.2327787 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.61152239603285]
Predicted rank: [0], ambiguousness: [[0.8359661  0.16403392]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.90953529586064]
Predicted rank: [0], ambiguousness: [[0.8312173  0.16878271]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.03032377195807]
Predicted rank: [0], ambiguousness: [[0.8305998  0.16940022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.07708207694259]
Predicted rank: [0], ambiguousness: [[0.9183359  0.08166408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.57181014208592]
Predicted rank: [0], ambiguousness: [[0.66711944 0.33288056]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.74334791712832]
Predicted rank: [0], ambiguousness: [[0.69572914 0.30427086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.089839062724]
Predicted rank: [0], ambiguousness: [[0.79725164 0.20274836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.17117069251458]
Predicted rank: [0], ambiguousness: [[0.9217919  0.07820806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.6823849952996]
Predicted rank: [0], ambiguousness: [[0.8672805  0.13271953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80262537789335]
Predicted rank: [0], ambiguousness: [[0.9415592 0.0584408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.8866676551086]
Predicted rank: [0], ambiguousness: [[0.8589589  0.14104111]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.96663472229187]
Predicted rank: [0], ambiguousness: [[0.6678945 0.3321055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.14427693338133]
Predicted rank: [0], ambiguousness: [[0.88682765 0.11317235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.37234416742433]
Predicted rank: [0], ambiguousness: [[0.82692957 0.17307042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.7514113740269]
Predicted rank: [0], ambiguousness: [[0.8568498 0.1431502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.52241351098911]
Predicted rank: [0], ambiguousness: [[0.7203083 0.2796917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.53225509498644]
Predicted rank: [0], ambiguousness: [[0.66460943 0.33539054]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.6996676085466]
Predicted rank: [0], ambiguousness: [[0.67529595 0.32470402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.05680215303241]
Predicted rank: [0], ambiguousness: [[0.77852523 0.22147475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.13933519351167]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.68187131144165]
Predicted rank: [0], ambiguousness: [[0.84819853 0.15180144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80219253949004]
Predicted rank: [0], ambiguousness: [[0.94961464 0.05038539]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.88619601877349]
Predicted rank: [0], ambiguousness: [[0.85370886 0.14629117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.36820864892589]
Predicted rank: [0], ambiguousness: [[0.6574867 0.3425133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.58173076167697]
Predicted rank: [0], ambiguousness: [[0.89068466 0.10931536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88533052880055]
Predicted rank: [0], ambiguousness: [[0.8324422  0.16755776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.47030402187545]
Predicted rank: [0], ambiguousness: [[0.8447509  0.15524915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.67519188864961]
Predicted rank: [0], ambiguousness: [[0.6503025  0.34969744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.62905468235574]
Predicted rank: [0], ambiguousness: [[0.6337574 0.3662426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.83332845705385]
Predicted rank: [0], ambiguousness: [[0.8980976  0.10190242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11979981331775]
Predicted rank: [0], ambiguousness: [[0.83122015 0.16877985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.66102777978482]
Predicted rank: [0], ambiguousness: [[0.8629599  0.13704008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.33657760076511]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.43858952239674]
Predicted rank: [0], ambiguousness: [[0.643371   0.35662898]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.60203810090474]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.96664718898596]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.05023212100673]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.6124067799681]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.73338476306768]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.81807325609266]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.29488940145302]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.51037503647373]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.81807865531856]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.41468569735027]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.63177898018259]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.2447890187324]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.46459017840311]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.78310141263628]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.41413692903909]
Predicted rank: [0], ambiguousness: [[0.8551752 0.1448248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.9949136845232]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.26670853396293]
Predicted rank: [0], ambiguousness: [[0.63632447 0.36367553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.14432713596412]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.36748256647223]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.6934555111736]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.34622094465126]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.92177468392981]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.86738248909305]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.77263969944718]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.12493256118086]
Predicted rank: [0], ambiguousness: [[0.74567926 0.2543207 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.74651055518734]
Predicted rank: [0], ambiguousness: [[0.8422892  0.15771076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.89714277332594]
Predicted rank: [0], ambiguousness: [[0.8255147  0.17448531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.22821050786041]
Predicted rank: [0], ambiguousness: [[0.7351746 0.2648254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.77512848614109]
Predicted rank: [0], ambiguousness: [[0.69838655 0.30161348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.11683711867958]
Predicted rank: [0], ambiguousness: [[0.78430927 0.2156907 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.35562793079836]
Predicted rank: [0], ambiguousness: [[0.78398156 0.21601842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.68011990346321]
Predicted rank: [0], ambiguousness: [[0.86372995 0.13627008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.9790788531908]
Predicted rank: [0], ambiguousness: [[0.8424765  0.15752354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.09913277189571]
Predicted rank: [0], ambiguousness: [[0.8613029  0.13869707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.14561904907198]
Predicted rank: [0], ambiguousness: [[0.9179717  0.08202835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.13768186776159]
Predicted rank: [0], ambiguousness: [[0.65853107 0.3414689 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.35681098463112]
Predicted rank: [0], ambiguousness: [[0.6991216 0.3008784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.62303033070296]
Predicted rank: [0], ambiguousness: [[0.7909687 0.2090313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.69204849595394]
Predicted rank: [0], ambiguousness: [[0.91637224 0.08362777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.00775896889243]
Predicted rank: [0], ambiguousness: [[0.874799 0.125201]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.11772619846165]
Predicted rank: [0], ambiguousness: [[0.94616586 0.05383416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.19027491743282]
Predicted rank: [0], ambiguousness: [[0.86064553 0.13935445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.76973798494164]
Predicted rank: [0], ambiguousness: [[0.73592293 0.2640771 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.87844744221707]
Predicted rank: [0], ambiguousness: [[0.91720647 0.08279353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.99513948938925]
Predicted rank: [0], ambiguousness: [[0.82136023 0.17863977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.08832722878552]
Predicted rank: [0], ambiguousness: [[0.73134965 0.26865035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.73848094605535]
Predicted rank: [0], ambiguousness: [[0.68341863 0.3165814 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.08892612330318]
Predicted rank: [0], ambiguousness: [[0.7540177  0.24598232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.32486032089491]
Predicted rank: [0], ambiguousness: [[0.74357545 0.25642452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.6795654968129]
Predicted rank: [0], ambiguousness: [[0.8363543 0.1636457]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.97863790628091]
Predicted rank: [0], ambiguousness: [[0.8345434  0.16545658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.09866547300082]
Predicted rank: [0], ambiguousness: [[0.8139492  0.18605076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.1451757323015]
Predicted rank: [0], ambiguousness: [[0.91013026 0.08986972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.64020955038379]
Predicted rank: [0], ambiguousness: [[0.6405655  0.35943446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.81428900138059]
Predicted rank: [0], ambiguousness: [[0.68184334 0.31815666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.15663138851261]
Predicted rank: [0], ambiguousness: [[0.76996017 0.23003982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.23730896419303]
Predicted rank: [0], ambiguousness: [[0.9134841  0.08651593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.73806302236585]
Predicted rank: [0], ambiguousness: [[0.8404355  0.15956452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.85775812261573]
Predicted rank: [0], ambiguousness: [[0.9392358 0.0607642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.94121156380359]
Predicted rank: [0], ambiguousness: [[0.85134315 0.14865683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.01042582633661]
Predicted rank: [0], ambiguousness: [[0.6312444  0.36875558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.18779377707898]
Predicted rank: [0], ambiguousness: [[0.8811364  0.11886358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.41532510514142]
Predicted rank: [0], ambiguousness: [[0.81585014 0.18414989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.79293403846609]
Predicted rank: [0], ambiguousness: [[0.84354377 0.15645626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.56024568448191]
Predicted rank: [0], ambiguousness: [[0.7048396 0.2951604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.87097627077009]
Predicted rank: [0], ambiguousness: [[0.6391307  0.36086932]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.0599255465716]
Predicted rank: [0], ambiguousness: [[0.7090721  0.29092786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.38454010984026]
Predicted rank: [0], ambiguousness: [[0.7644604  0.23553963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.46180626662705]
Predicted rank: [0], ambiguousness: [[0.9167902  0.08320983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.9237271008206]
Predicted rank: [0], ambiguousness: [[0.8563743  0.14362568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.03946934026955]
Predicted rank: [0], ambiguousness: [[0.9592436  0.04075642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.11856067260004]
Predicted rank: [0], ambiguousness: [[0.8571205  0.14287949]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.69622133947487]
Predicted rank: [0], ambiguousness: [[0.62538075 0.37461928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.89711919985102]
Predicted rank: [0], ambiguousness: [[0.89402723 0.10597275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.17556399627998]
Predicted rank: [0], ambiguousness: [[0.8214013  0.17859872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.69207762951172]
Predicted rank: [0], ambiguousness: [[0.8210776  0.17892243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.87091822326354]
Predicted rank: [0], ambiguousness: [[0.63255745 0.36744255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.64620296239423]
Predicted rank: [0], ambiguousness: [[0.6575982 0.3424018]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.00293323897468]
Predicted rank: [0], ambiguousness: [[0.757889   0.24211101]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.23584822740645]
Predicted rank: [0], ambiguousness: [[0.7557231  0.24427685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.61126950305443]
Predicted rank: [0], ambiguousness: [[0.8294944  0.17050558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.90928240288223]
Predicted rank: [0], ambiguousness: [[0.8245976  0.17540242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.03007087897967]
Predicted rank: [0], ambiguousness: [[0.82396096 0.17603904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.07682918396418]
Predicted rank: [0], ambiguousness: [[0.9162793  0.08372067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.57155724910751]
Predicted rank: [0], ambiguousness: [[0.6529137 0.3470863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.74309502414991]
Predicted rank: [0], ambiguousness: [[0.6821625  0.31783745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.08958616974559]
Predicted rank: [0], ambiguousness: [[0.7868247  0.21317531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.17091779953617]
Predicted rank: [0], ambiguousness: [[0.91856337 0.08143666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.68213210232119]
Predicted rank: [0], ambiguousness: [[0.86184007 0.13815993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80237248491494]
Predicted rank: [0], ambiguousness: [[0.9400493  0.05995074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.88641476213017]
Predicted rank: [0], ambiguousness: [[0.85323507 0.14676493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.96638182931346]
Predicted rank: [0], ambiguousness: [[0.65370464 0.3462954 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.14402404040291]
Predicted rank: [0], ambiguousness: [[0.8823399  0.11766011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.37209127444594]
Predicted rank: [0], ambiguousness: [[0.8176799  0.18232012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.7511584810485]
Predicted rank: [0], ambiguousness: [[0.8542639  0.14573608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.5221606180107]
Predicted rank: [0], ambiguousness: [[0.7073768  0.29262322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.53200220200804]
Predicted rank: [0], ambiguousness: [[0.6413294  0.35867062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.69941471556818]
Predicted rank: [0], ambiguousness: [[0.65236974 0.3476303 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.05654926005401]
Predicted rank: [0], ambiguousness: [[0.7603005 0.2396995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.13908230053329]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.68161841846326]
Predicted rank: [0], ambiguousness: [[0.83680207 0.16319795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80193964651164]
Predicted rank: [0], ambiguousness: [[0.9463327 0.0536673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.8859431257951]
Predicted rank: [0], ambiguousness: [[0.8426493  0.15735073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.36795575594749]
Predicted rank: [0], ambiguousness: [[0.6339845 0.3660155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.58147786869856]
Predicted rank: [0], ambiguousness: [[0.8822946  0.11770543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88507763582214]
Predicted rank: [0], ambiguousness: [[0.8176148  0.18238519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.47005112889707]
Predicted rank: [0], ambiguousness: [[0.83314645 0.16685356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.6749389956712]
Predicted rank: [0], ambiguousness: [[0.6265874  0.37341264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.62880178937732]
Predicted rank: [0], ambiguousness: [[0.6095938 0.3904062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.83307556407544]
Predicted rank: [0], ambiguousness: [[0.89020634 0.10979369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11954692033933]
Predicted rank: [0], ambiguousness: [[0.8163084  0.18369159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.66077488680641]
Predicted rank: [0], ambiguousness: [[0.85247886 0.14752112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.3363247077867]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.43758644000617]
Predicted rank: [0], ambiguousness: [[0.60564566 0.39435434]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.60103501851418]
Predicted rank: [0], ambiguousness: [[0.6274122  0.37258783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.9656441065954]
Predicted rank: [0], ambiguousness: [[0.74000347 0.25999653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.04922903861618]
Predicted rank: [0], ambiguousness: [[0.90775484 0.09224516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.61140369757754]
Predicted rank: [0], ambiguousness: [[0.79873556 0.20126444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.73238168067712]
Predicted rank: [0], ambiguousness: [[0.93236244 0.06763756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.81707017370209]
Predicted rank: [0], ambiguousness: [[0.8101822 0.1898178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.29388631906247]
Predicted rank: [0], ambiguousness: [[0.6358672  0.36413282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.50937195408315]
Predicted rank: [0], ambiguousness: [[0.871863   0.12813702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.81707557292799]
Predicted rank: [0], ambiguousness: [[0.8057792  0.19422075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.4136826149597]
Predicted rank: [0], ambiguousness: [[0.82119 0.17881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.63077589779203]
Predicted rank: [0], ambiguousness: [[0.6082943 0.3917057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.24378593634182]
Predicted rank: [0], ambiguousness: [[0.6095352  0.39046478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.46358709601255]
Predicted rank: [0], ambiguousness: [[0.8767525  0.12324753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.7820983302457]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.41313384664852]
Predicted rank: [0], ambiguousness: [[0.8199376  0.18006241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.99391060213263]
Predicted rank: [0], ambiguousness: [[0.61755013 0.38244987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.26570545157236]
Predicted rank: [0], ambiguousness: [[0.60776263 0.39223737]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.14098275225177]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.36414108694228]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.69012061410291]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.34290552245133]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.91846009875309]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.86414607931978]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.76016994681018]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 111.64620924572986]
Predicted rank: [0], ambiguousness: [[0.6116863 0.3883137]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.00293952205237]
Predicted rank: [0], ambiguousness: [[0.7196927  0.28030732]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.23585451059928]
Predicted rank: [0], ambiguousness: [[0.7173126  0.28268743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.61127578538971]
Predicted rank: [0], ambiguousness: [[0.8091637 0.1908363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.90928868525069]
Predicted rank: [0], ambiguousness: [[0.8038211  0.19617893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.03007716132345]
Predicted rank: [0], ambiguousness: [[0.80312705 0.19687296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.07683546629966]
Predicted rank: [0], ambiguousness: [[0.90038866 0.09961132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.57156353119883]
Predicted rank: [0], ambiguousness: [[0.6067493  0.39325067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.74310130632058]
Predicted rank: [0], ambiguousness: [[0.63772994 0.36227006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.08959245178107]
Predicted rank: [0], ambiguousness: [[0.7516978 0.2483022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.17092408155074]
Predicted rank: [0], ambiguousness: [[0.89761126 0.10238871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.6821383839853]
Predicted rank: [0], ambiguousness: [[0.84464383 0.15535615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80237876656267]
Predicted rank: [0], ambiguousness: [[0.9283173  0.07168268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.88642104376072]
Predicted rank: [0], ambiguousness: [[0.83517265 0.16482736]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.96638811052217]
Predicted rank: [0], ambiguousness: [[0.6075822  0.39241776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.1440303216074]
Predicted rank: [0], ambiguousness: [[0.8535541 0.1464459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.37209755564201]
Predicted rank: [0], ambiguousness: [[0.7862561  0.21374393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.75116476222193]
Predicted rank: [0], ambiguousness: [[0.83277714 0.16722284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.52216689913212]
Predicted rank: [0], ambiguousness: [[0.6647366 0.3352634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.53200848058157]
Predicted rank: [0], ambiguousness: [[0.59458095 0.40541905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.69942099414172]
Predicted rank: [0], ambiguousness: [[0.6061766 0.3938234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.05655553862755]
Predicted rank: [0], ambiguousness: [[0.72234523 0.2776548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.13908857910681]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.68162469703677]
Predicted rank: [0], ambiguousness: [[0.81715065 0.18284936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.80194592508515]
Predicted rank: [0], ambiguousness: [[0.9357463  0.06425367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.88594940436863]
Predicted rank: [0], ambiguousness: [[0.82355344 0.17644654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.36796203452101]
Predicted rank: [0], ambiguousness: [[0.58689535 0.41310462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.58148414727208]
Predicted rank: [0], ambiguousness: [[0.85349953 0.14650047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.88508391439566]
Predicted rank: [0], ambiguousness: [[0.7861827  0.21381728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.47005740747059]
Predicted rank: [0], ambiguousness: [[0.81315315 0.18684687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.67494527424473]
Predicted rank: [0], ambiguousness: [[0.5791783  0.42082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.62880806795086]
Predicted rank: [0], ambiguousness: [[0.5615369  0.43846306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.83308184264898]
Predicted rank: [0], ambiguousness: [[0.8630463 0.1369537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.11955319891288]
Predicted rank: [0], ambiguousness: [[0.78471047 0.21528952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.66078116537993]
Predicted rank: [0], ambiguousness: [[0.83434147 0.16565852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.33633098636022]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.43737922814978]
Predicted rank: [0], ambiguousness: [[0.5574113 0.4425887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 110.60082780681131]
Predicted rank: [0], ambiguousness: [[0.5799939 0.4200061]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 110.96543689458423]
Predicted rank: [0], ambiguousness: [[0.7000643 0.2999357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.04902182656333]
Predicted rank: [0], ambiguousness: [[0.88631827 0.11368171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.61119648469518]
Predicted rank: [0], ambiguousness: [[0.788908   0.21109203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.7321744677726]
Predicted rank: [0], ambiguousness: [[0.92615235 0.07384763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.81686296077544]
Predicted rank: [0], ambiguousness: [[0.8007741 0.1992259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.29367910604586]
Predicted rank: [0], ambiguousness: [[0.5991787 0.4008213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.50916474100313]
Predicted rank: [0], ambiguousness: [[0.8491098  0.15089017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.81686835971396]
Predicted rank: [0], ambiguousness: [[0.7802952  0.21970482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.4134754013565]
Predicted rank: [0], ambiguousness: [[0.8186654  0.18133458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.63056868371942]
Predicted rank: [0], ambiguousness: [[0.57070327 0.42929676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.2435787196292]
Predicted rank: [0], ambiguousness: [[0.55169594 0.44830406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.46337987929991]
Predicted rank: [0], ambiguousness: [[0.84418833 0.1558117 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.78189111353308]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.41292662993588]
Predicted rank: [0], ambiguousness: [[0.8047764  0.19522363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.99370338541999]
Predicted rank: [0], ambiguousness: [[0.57059634 0.42940363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.26549823485972]
Predicted rank: [0], ambiguousness: [[0.54985464 0.45014533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.14001393846384]
Predicted rank: [0], ambiguousness: [[0.54529977 0.45470023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.36317227301842]
Predicted rank: [0], ambiguousness: [[0.83978087 0.16021912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 110.68915179986993]
Predicted rank: [0], ambiguousness: [[0.7601218  0.23987818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.34193670730123]
Predicted rank: [0], ambiguousness: [[0.76869345 0.23130655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.91749128351167]
Predicted rank: [0], ambiguousness: [[0.5648511 0.4351489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.86317726031426]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 109.75685194542211]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Running local search 15
Switching 15 patient(s). Size of neighborhood: 15504
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 8]
Costs: [107.58517370744023, 110.0709395292522]
Predicted rank: [0], ambiguousness: [[0.81803644 0.18196356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.88753063360058]
Predicted rank: [0], ambiguousness: [[0.8243166  0.17568335]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.83455738148007]
Predicted rank: [0], ambiguousness: [[0.8615888  0.13841121]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.0636216868995]
Predicted rank: [0], ambiguousness: [[0.90022105 0.09977896]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.11234725688158]
Predicted rank: [0], ambiguousness: [[0.73725355 0.26274648]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.10379043077931]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.52444502322413]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.48742972497837]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.13821982368341]
Predicted rank: [0], ambiguousness: [[0.8924395  0.10756055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.16685800869894]
Predicted rank: [0], ambiguousness: [[0.81241965 0.18758038]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.33313131313714]
Predicted rank: [0], ambiguousness: [[0.83784544 0.16215453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.39822183686329]
Predicted rank: [0], ambiguousness: [[0.9018548  0.09814516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 111.33875078561907]
Predicted rank: [0], ambiguousness: [[0.7987224  0.20127764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 110.42810608710747]
Predicted rank: [0], ambiguousness: [[0.7053827  0.29461727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 110.65022386373502]
Predicted rank: [0], ambiguousness: [[0.760927   0.23907298]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 110.71144347736868]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.81817610424315]
Predicted rank: [0], ambiguousness: [[0.6860852  0.31391475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.9255653105391]
Predicted rank: [0], ambiguousness: [[0.86408806 0.13591197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.98003116097516]
Predicted rank: [0], ambiguousness: [[0.6507449  0.34925506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.8551867574116]
Predicted rank: [0], ambiguousness: [[0.81942344 0.1805766 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.8480966213398]
Predicted rank: [0], ambiguousness: [[0.8707334  0.12926665]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.0769619915398]
Predicted rank: [0], ambiguousness: [[0.8924687  0.10753132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.12607760349354]
Predicted rank: [0], ambiguousness: [[0.7135389  0.28646114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.30673674220495]
Predicted rank: [0], ambiguousness: [[0.74548805 0.25451195]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.83920490922122]
Predicted rank: [0], ambiguousness: [[0.8260352  0.17396478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.74007973813629]
Predicted rank: [0], ambiguousness: [[0.7240514  0.27594858]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.74637385846344]
Predicted rank: [0], ambiguousness: [[0.874272   0.12572804]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.74641575617991]
Predicted rank: [0], ambiguousness: [[0.7950808  0.20491923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.93329236978741]
Predicted rank: [0], ambiguousness: [[0.82022786 0.17977215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.00473529380463]
Predicted rank: [0], ambiguousness: [[0.8995666 0.1004334]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.92866152310813]
Predicted rank: [0], ambiguousness: [[0.72540426 0.27459574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.80376675526884]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.21844286296833]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.32447718271459]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.83913336778812]
Predicted rank: [0], ambiguousness: [[0.82371044 0.17628959]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.00562976292954]
Predicted rank: [0], ambiguousness: [[0.92849374 0.07150628]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.12117464809852]
Predicted rank: [0], ambiguousness: [[0.8317356  0.16826436]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.1121854812395]
Predicted rank: [0], ambiguousness: [[0.65896475 0.34103522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.27313291545323]
Predicted rank: [0], ambiguousness: [[0.8879385  0.11206149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.45195699586222]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.60208239446813]
Predicted rank: [0], ambiguousness: [[0.657524   0.34247598]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.73959864643732]
Predicted rank: [0], ambiguousness: [[0.7570474  0.24295257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.24099687277946]
Predicted rank: [0], ambiguousness: [[0.8196072  0.18039279]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.16630492570663]
Predicted rank: [0], ambiguousness: [[0.71070975 0.28929025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.07312087243969]
Predicted rank: [0], ambiguousness: [[0.89338905 0.10661098]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.08889009023011]
Predicted rank: [0], ambiguousness: [[0.84411836 0.15588167]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.26637225068214]
Predicted rank: [0], ambiguousness: [[0.81174004 0.18825994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.33483726410462]
Predicted rank: [0], ambiguousness: [[0.909341   0.09065904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.54718001929075]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.37782216334395]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.87617218963518]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.99414534498658]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.7142708413005]
Predicted rank: [0], ambiguousness: [[0.78636026 0.21363972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.88960748048538]
Predicted rank: [0], ambiguousness: [[0.9245802  0.07541977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.01526076000141]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.57694246290401]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.83994684575804]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.18238554357043]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.75432369799739]
Predicted rank: [0], ambiguousness: [[0.7897174  0.21028262]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.91486653495433]
Predicted rank: [0], ambiguousness: [[0.65110266 0.34889734]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.68057535983536]
Predicted rank: [0], ambiguousness: [[0.82008874 0.17991127]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.70974027757075]
Predicted rank: [0], ambiguousness: [[0.8715533  0.12844668]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.94015869690942]
Predicted rank: [0], ambiguousness: [[0.89316773 0.10683229]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.98719368949133]
Predicted rank: [0], ambiguousness: [[0.7428032  0.25719675]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.16860474661576]
Predicted rank: [0], ambiguousness: [[0.76021004 0.23978995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.70850940396093]
Predicted rank: [0], ambiguousness: [[0.84273905 0.15726097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.60511180155262]
Predicted rank: [0], ambiguousness: [[0.7657449  0.23425506]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.63580893200745]
Predicted rank: [0], ambiguousness: [[0.8939385  0.10606153]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.63388458654478]
Predicted rank: [0], ambiguousness: [[0.82898074 0.17101926]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.82212699000286]
Predicted rank: [0], ambiguousness: [[0.85598195 0.14401805]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.89400477657694]
Predicted rank: [0], ambiguousness: [[0.9146092  0.08539078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.84078585985074]
Predicted rank: [0], ambiguousness: [[0.74883246 0.25116754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.71494936297034]
Predicted rank: [0], ambiguousness: [[0.6646372  0.33536276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.13077683064913]
Predicted rank: [0], ambiguousness: [[0.7731513  0.22684872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.23702094894279]
Predicted rank: [0], ambiguousness: [[0.9080007  0.09199929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.75438602074833]
Predicted rank: [0], ambiguousness: [[0.8669999  0.13300008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92110075767832]
Predicted rank: [0], ambiguousness: [[0.93949515 0.06050487]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.03688948607784]
Predicted rank: [0], ambiguousness: [[0.85530365 0.14469638]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.03480746760468]
Predicted rank: [0], ambiguousness: [[0.71510345 0.28489655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.19575490181842]
Predicted rank: [0], ambiguousness: [[0.9042957  0.09570429]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.37457898222743]
Predicted rank: [0], ambiguousness: [[0.8054963  0.19450372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.52470438083333]
Predicted rank: [0], ambiguousness: [[0.7103116 0.2896884]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.11941379071615]
Predicted rank: [0], ambiguousness: [[0.75406396 0.24593602]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.67446731639299]
Predicted rank: [0], ambiguousness: [[0.8317497 0.1682503]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.56624732411002]
Predicted rank: [0], ambiguousness: [[0.74651706 0.25348294]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.6494016646102]
Predicted rank: [0], ambiguousness: [[0.88917243 0.11082754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.64793844718933]
Predicted rank: [0], ambiguousness: [[0.8258505  0.17414953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.83595519265985]
Predicted rank: [0], ambiguousness: [[0.8252175  0.17478254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.9078211326515]
Predicted rank: [0], ambiguousness: [[0.9161733  0.08382674]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.0000501261207]
Predicted rank: [0], ambiguousness: [[0.7408004  0.25919962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.79457201991119]
Predicted rank: [0], ambiguousness: [[0.6547172 0.3452828]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.34229237173297]
Predicted rank: [0], ambiguousness: [[0.7577121 0.2422879]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.46871700215658]
Predicted rank: [0], ambiguousness: [[0.9079642  0.09203575]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.30632112725996]
Predicted rank: [0], ambiguousness: [[0.83947164 0.16052838]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.48989150143183]
Predicted rank: [0], ambiguousness: [[0.935619 0.064381]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.62443533076569]
Predicted rank: [0], ambiguousness: [[0.85043347 0.1495665 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.21885099792883]
Predicted rank: [0], ambiguousness: [[0.6153008  0.38469923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.49120548043194]
Predicted rank: [0], ambiguousness: [[0.8677053 0.1322947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.85043425480498]
Predicted rank: [0], ambiguousness: [[0.8054279 0.1945721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.46534502239938]
Predicted rank: [0], ambiguousness: [[0.83917797 0.16082205]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.75740921974676]
Predicted rank: [0], ambiguousness: [[0.6905179 0.3094821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.44647973082395]
Predicted rank: [0], ambiguousness: [[0.7258221 0.2741779]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.27074345950442]
Predicted rank: [0], ambiguousness: [[0.6557994  0.34420064]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.78303893693999]
Predicted rank: [0], ambiguousness: [[0.7443956 0.2556044]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.90274807652742]
Predicted rank: [0], ambiguousness: [[0.90814257 0.0918574 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.66200012506383]
Predicted rank: [0], ambiguousness: [[0.85041857 0.1495814 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.83791189352775]
Predicted rank: [0], ambiguousness: [[0.95134026 0.04865975]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.96406517877168]
Predicted rank: [0], ambiguousness: [[0.8511904  0.14880961]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.7338739853713]
Predicted rank: [0], ambiguousness: [[0.59967256 0.4003274 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.04479157837159]
Predicted rank: [0], ambiguousness: [[0.86833346 0.13166657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.48765270724112]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.33078101627757]
Predicted rank: [0], ambiguousness: [[0.81397605 0.18602394]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.09028081780151]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.93026171377767]
Predicted rank: [0], ambiguousness: [[0.7600075  0.23999251]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.49856755335489]
Predicted rank: [0], ambiguousness: [[0.8362236  0.16377643]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.38386280602585]
Predicted rank: [0], ambiguousness: [[0.76722133 0.2327787 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.51071978360383]
Predicted rank: [0], ambiguousness: [[0.8778268  0.12217317]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.5069826924272]
Predicted rank: [0], ambiguousness: [[0.8312173  0.16878271]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.69659695523947]
Predicted rank: [0], ambiguousness: [[0.8305998  0.16940022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.76898489345348]
Predicted rank: [0], ambiguousness: [[0.9183359  0.08166408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.85967853732687]
Predicted rank: [0], ambiguousness: [[0.768331   0.23166901]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.6487367738259]
Predicted rank: [0], ambiguousness: [[0.69572914 0.30427086]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.2051971584354]
Predicted rank: [0], ambiguousness: [[0.79725164 0.20274836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.33299780698303]
Predicted rank: [0], ambiguousness: [[0.9217919  0.07820806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.1925891113886]
Predicted rank: [0], ambiguousness: [[0.8672805  0.13271953]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.37730897023746]
Predicted rank: [0], ambiguousness: [[0.9415592 0.0584408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.5130858624619]
Predicted rank: [0], ambiguousness: [[0.8589589  0.14104111]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.12977309066716]
Predicted rank: [0], ambiguousness: [[0.6678945 0.3321055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.40270081017542]
Predicted rank: [0], ambiguousness: [[0.88682765 0.11317235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.76304739855107]
Predicted rank: [0], ambiguousness: [[0.82692957 0.17307042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.38099552201038]
Predicted rank: [0], ambiguousness: [[0.8568498 0.1431502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.6807181366371]
Predicted rank: [0], ambiguousness: [[0.7203083 0.2796917]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.8055154727718]
Predicted rank: [0], ambiguousness: [[0.7609127  0.23908727]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.5874795914677]
Predicted rank: [0], ambiguousness: [[0.67529595 0.32470402]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.16248829667464]
Predicted rank: [0], ambiguousness: [[0.77852523 0.22147475]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.29232803359693]
Predicted rank: [0], ambiguousness: [[0.92699254 0.07300747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.20675213740046]
Predicted rank: [0], ambiguousness: [[0.84819853 0.15180144]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.39147260062207]
Predicted rank: [0], ambiguousness: [[0.94961464 0.05038539]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.52701782257103]
Predicted rank: [0], ambiguousness: [[0.85370886 0.14629117]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.11209683104207]
Predicted rank: [0], ambiguousness: [[0.6574867 0.3425133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.44732130942862]
Predicted rank: [0], ambiguousness: [[0.89068466 0.10931536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.93851855685489]
Predicted rank: [0], ambiguousness: [[0.8324422  0.16755776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91302337830666]
Predicted rank: [0], ambiguousness: [[0.8447509  0.15524915]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.72115941786079]
Predicted rank: [0], ambiguousness: [[0.6503025  0.34969744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.61850847970067]
Predicted rank: [0], ambiguousness: [[0.6337574 0.3662426]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.93535003714473]
Predicted rank: [0], ambiguousness: [[0.8980976  0.10190242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.392276169848]
Predicted rank: [0], ambiguousness: [[0.83122015 0.16877985]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.27856944855962]
Predicted rank: [0], ambiguousness: [[0.8629599  0.13704008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.19612034375288]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.61368942280835]
Predicted rank: [0], ambiguousness: [[0.750318 0.249682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.3871030555873]
Predicted rank: [0], ambiguousness: [[0.6677643  0.33223566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.97790942158416]
Predicted rank: [0], ambiguousness: [[0.7697618  0.23023817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.1099686056337]
Predicted rank: [0], ambiguousness: [[0.917816   0.08218399]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.06579861745615]
Predicted rank: [0], ambiguousness: [[0.84260213 0.15739784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.25190559361869]
Predicted rank: [0], ambiguousness: [[0.9499574  0.05004264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.38888662836484]
Predicted rank: [0], ambiguousness: [[0.8520162  0.14798382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.96199750714443]
Predicted rank: [0], ambiguousness: [[0.6722659  0.32773408]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.3013669580975]
Predicted rank: [0], ambiguousness: [[0.8908242  0.10917579]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.80120825155365]
Predicted rank: [0], ambiguousness: [[0.82974124 0.17025875]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.80018151994251]
Predicted rank: [0], ambiguousness: [[0.8610141  0.13898584]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.63365388126203]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.88966462831263]
Predicted rank: [0], ambiguousness: [[0.63804483 0.36195514]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.23649284258445]
Predicted rank: [0], ambiguousness: [[0.891314   0.10868596]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.75520104277231]
Predicted rank: [0], ambiguousness: [[0.8292482  0.17075184]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.81445514035263]
Predicted rank: [0], ambiguousness: [[0.8551752 0.1448248]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.5487600841076]
Predicted rank: [0], ambiguousness: [[0.64581466 0.35418537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.07699692102835]
Predicted rank: [0], ambiguousness: [[0.63632447 0.36367553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.68460959762918]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.038538439315]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.573011487207]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.67809601319553]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.4003473650615]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.32052247765805]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.13068130825923]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 108.68040114863885]
Predicted rank: [0], ambiguousness: [[0.8140635  0.18593651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 109.70956606637424]
Predicted rank: [0], ambiguousness: [[0.88208765 0.11791234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.93998448571291]
Predicted rank: [0], ambiguousness: [[0.8892594  0.11074062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.98701947829483]
Predicted rank: [0], ambiguousness: [[0.7351746 0.2648254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.16843053541925]
Predicted rank: [0], ambiguousness: [[0.7775453  0.22245474]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.70833519276442]
Predicted rank: [0], ambiguousness: [[0.8483645  0.15163553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.60493759035609]
Predicted rank: [0], ambiguousness: [[0.78398156 0.21601842]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.63563472081094]
Predicted rank: [0], ambiguousness: [[0.8979542  0.10204577]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.63371037534827]
Predicted rank: [0], ambiguousness: [[0.8424765  0.15752354]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.82195277880635]
Predicted rank: [0], ambiguousness: [[0.8613029  0.13869707]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.89383056538041]
Predicted rank: [0], ambiguousness: [[0.9179717  0.08202835]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.84061164865423]
Predicted rank: [0], ambiguousness: [[0.75684786 0.24315214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.71477515177384]
Predicted rank: [0], ambiguousness: [[0.6991216 0.3008784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.13060261945262]
Predicted rank: [0], ambiguousness: [[0.7909687 0.2090313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.23684673774628]
Predicted rank: [0], ambiguousness: [[0.91637224 0.08362777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.7542118095518]
Predicted rank: [0], ambiguousness: [[0.874799 0.125201]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.92092654648181]
Predicted rank: [0], ambiguousness: [[0.94616586 0.05383416]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.03671527488133]
Predicted rank: [0], ambiguousness: [[0.86064553 0.13935445]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.03463325640817]
Predicted rank: [0], ambiguousness: [[0.73592293 0.2640771 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.19558069062191]
Predicted rank: [0], ambiguousness: [[0.91720647 0.08279353]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.37440477103092]
Predicted rank: [0], ambiguousness: [[0.82136023 0.17863977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.52453016963682]
Predicted rank: [0], ambiguousness: [[0.73134965 0.26865035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.11923957951964]
Predicted rank: [0], ambiguousness: [[0.76518494 0.23481508]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.67429310519647]
Predicted rank: [0], ambiguousness: [[0.82069886 0.17930114]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.5660731129135]
Predicted rank: [0], ambiguousness: [[0.74357545 0.25642452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.64922745341367]
Predicted rank: [0], ambiguousness: [[0.8813552  0.11864479]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.64776423599282]
Predicted rank: [0], ambiguousness: [[0.8345434  0.16545658]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.83578098146333]
Predicted rank: [0], ambiguousness: [[0.8139492  0.18605076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.90764692145498]
Predicted rank: [0], ambiguousness: [[0.91013026 0.08986972]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.99987591492419]
Predicted rank: [0], ambiguousness: [[0.7420286  0.25797138]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.79439780871465]
Predicted rank: [0], ambiguousness: [[0.68184334 0.31815666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.34211816053646]
Predicted rank: [0], ambiguousness: [[0.76996017 0.23003982]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.46854279096004]
Predicted rank: [0], ambiguousness: [[0.9134841  0.08651593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.30614691606343]
Predicted rank: [0], ambiguousness: [[0.8404355  0.15956452]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.48971729023529]
Predicted rank: [0], ambiguousness: [[0.9392358 0.0607642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.62426111956918]
Predicted rank: [0], ambiguousness: [[0.85134315 0.14865683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.2186767867323]
Predicted rank: [0], ambiguousness: [[0.6312444  0.36875558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.4910312692354]
Predicted rank: [0], ambiguousness: [[0.8811364  0.11886358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.85026004360847]
Predicted rank: [0], ambiguousness: [[0.81585014 0.18414989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.46517081120287]
Predicted rank: [0], ambiguousness: [[0.84354377 0.15645626]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.75723500855025]
Predicted rank: [0], ambiguousness: [[0.7048396 0.2951604]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.44630551962746]
Predicted rank: [0], ambiguousness: [[0.7350454  0.26495463]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.27056924830788]
Predicted rank: [0], ambiguousness: [[0.7090721  0.29092786]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.78286472574348]
Predicted rank: [0], ambiguousness: [[0.7644604  0.23553963]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.90257386533091]
Predicted rank: [0], ambiguousness: [[0.9167902  0.08320983]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.66182591386733]
Predicted rank: [0], ambiguousness: [[0.8563743  0.14362568]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.83773768233124]
Predicted rank: [0], ambiguousness: [[0.9592436  0.04075642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.96389096757515]
Predicted rank: [0], ambiguousness: [[0.8571205  0.14287949]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.73369977417478]
Predicted rank: [0], ambiguousness: [[0.62538075 0.37461928]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.04461736717508]
Predicted rank: [0], ambiguousness: [[0.89402723 0.10597275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.4874784960446]
Predicted rank: [0], ambiguousness: [[0.8214013  0.17859872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.33060680508106]
Predicted rank: [0], ambiguousness: [[0.8210776  0.17892243]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.09010660660499]
Predicted rank: [0], ambiguousness: [[0.63255745 0.36744255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.92939568152701]
Predicted rank: [0], ambiguousness: [[0.7026528 0.2973472]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.49770152110423]
Predicted rank: [0], ambiguousness: [[0.7921009  0.20789912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.38299677377522]
Predicted rank: [0], ambiguousness: [[0.7557231  0.24427685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.5098537513532]
Predicted rank: [0], ambiguousness: [[0.85215294 0.14784706]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.50611666017656]
Predicted rank: [0], ambiguousness: [[0.8245976  0.17540242]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.69573092298883]
Predicted rank: [0], ambiguousness: [[0.82396096 0.17603904]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.76811886120282]
Predicted rank: [0], ambiguousness: [[0.9162793  0.08372067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.85881250507623]
Predicted rank: [0], ambiguousness: [[0.7122122  0.28778777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.64787074157528]
Predicted rank: [0], ambiguousness: [[0.6821625  0.31783745]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.20433112618475]
Predicted rank: [0], ambiguousness: [[0.7868247  0.21317531]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.3321317747324]
Predicted rank: [0], ambiguousness: [[0.91856337 0.08143666]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.19172307913797]
Predicted rank: [0], ambiguousness: [[0.86184007 0.13815993]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.37644293798684]
Predicted rank: [0], ambiguousness: [[0.9400493  0.05995074]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.51221983021128]
Predicted rank: [0], ambiguousness: [[0.85323507 0.14676493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.1289070584165]
Predicted rank: [0], ambiguousness: [[0.65370464 0.3462954 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.40183477792478]
Predicted rank: [0], ambiguousness: [[0.8823399  0.11766011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.76218136630044]
Predicted rank: [0], ambiguousness: [[0.8176799  0.18232012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.38012948975975]
Predicted rank: [0], ambiguousness: [[0.8542639  0.14573608]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.67985210438646]
Predicted rank: [0], ambiguousness: [[0.7073768  0.29262322]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.80464944052116]
Predicted rank: [0], ambiguousness: [[0.69539845 0.30460152]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.58661355921706]
Predicted rank: [0], ambiguousness: [[0.65236974 0.3476303 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.16162226442398]
Predicted rank: [0], ambiguousness: [[0.7603005 0.2396995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.29146200134629]
Predicted rank: [0], ambiguousness: [[0.9211424  0.07885761]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.20588610514982]
Predicted rank: [0], ambiguousness: [[0.83680207 0.16319795]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.39060656837142]
Predicted rank: [0], ambiguousness: [[0.9463327 0.0536673]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.52615179032037]
Predicted rank: [0], ambiguousness: [[0.8426493  0.15735073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.11123079879144]
Predicted rank: [0], ambiguousness: [[0.6339845 0.3660155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.44645527717798]
Predicted rank: [0], ambiguousness: [[0.8822946  0.11770543]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.93765252460426]
Predicted rank: [0], ambiguousness: [[0.8176148  0.18238519]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91215734605602]
Predicted rank: [0], ambiguousness: [[0.83314645 0.16685356]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.72029338561013]
Predicted rank: [0], ambiguousness: [[0.6265874  0.37341264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.61764244745002]
Predicted rank: [0], ambiguousness: [[0.6095938 0.3904062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.93448400489409]
Predicted rank: [0], ambiguousness: [[0.89020634 0.10979369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.39141013759736]
Predicted rank: [0], ambiguousness: [[0.8163084  0.18369159]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.277703416309]
Predicted rank: [0], ambiguousness: [[0.85247886 0.14752112]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.19525431150224]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.61056526017667]
Predicted rank: [0], ambiguousness: [[0.65405005 0.34594995]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.38397889295561]
Predicted rank: [0], ambiguousness: [[0.6274122  0.37258783]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.97478525895247]
Predicted rank: [0], ambiguousness: [[0.74000347 0.25999653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.10684444300202]
Predicted rank: [0], ambiguousness: [[0.90775484 0.09224516]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.06267445482445]
Predicted rank: [0], ambiguousness: [[0.79873556 0.20126444]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.24878143098701]
Predicted rank: [0], ambiguousness: [[0.93236244 0.06763756]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.38576246573314]
Predicted rank: [0], ambiguousness: [[0.8101822 0.1898178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.95887334451274]
Predicted rank: [0], ambiguousness: [[0.6358672  0.36413282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.29824279546582]
Predicted rank: [0], ambiguousness: [[0.871863   0.12813702]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.79808408892197]
Predicted rank: [0], ambiguousness: [[0.8057792  0.19422075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.79705735731082]
Predicted rank: [0], ambiguousness: [[0.82119 0.17881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.63052971863033]
Predicted rank: [0], ambiguousness: [[0.6082943 0.3917057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.88654046568094]
Predicted rank: [0], ambiguousness: [[0.6095352  0.39046478]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.23336867995278]
Predicted rank: [0], ambiguousness: [[0.8767525  0.12324753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.75207688014063]
Predicted rank: [0], ambiguousness: [[0.8113458  0.18865415]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.81133097772096]
Predicted rank: [0], ambiguousness: [[0.8199376  0.18006241]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.5456359214759]
Predicted rank: [0], ambiguousness: [[0.61755013 0.38244987]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.07387275839665]
Predicted rank: [0], ambiguousness: [[0.60776263 0.39223737]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.67518265922806]
Predicted rank: [0], ambiguousness: [[0.5975418  0.40245816]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.02911992540325]
Predicted rank: [0], ambiguousness: [[0.8686217  0.13137832]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.56361202502282]
Predicted rank: [0], ambiguousness: [[0.79655504 0.20344499]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.66875279946238]
Predicted rank: [0], ambiguousness: [[0.8067999  0.19320013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.39100482575596]
Predicted rank: [0], ambiguousness: [[0.6129956  0.38700438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.31139881432539]
Predicted rank: [0], ambiguousness: [[0.6121682 0.3878318]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.09885221911385]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 107.92943864639008]
Predicted rank: [0], ambiguousness: [[0.7358675  0.26413247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.49774448487966]
Predicted rank: [0], ambiguousness: [[0.8179132  0.18208683]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.38303973804587]
Predicted rank: [0], ambiguousness: [[0.7173126  0.28268743]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.50989671200759]
Predicted rank: [0], ambiguousness: [[0.87171686 0.12828311]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.50615962097402]
Predicted rank: [0], ambiguousness: [[0.8038211  0.19617893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.6957738836823]
Predicted rank: [0], ambiguousness: [[0.80312705 0.19687296]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.76816182186126]
Predicted rank: [0], ambiguousness: [[0.90038866 0.09961132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.85885546481703]
Predicted rank: [0], ambiguousness: [[0.7447471 0.2552529]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.6479137016585]
Predicted rank: [0], ambiguousness: [[0.63772994 0.36227006]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.20437408569674]
Predicted rank: [0], ambiguousness: [[0.7516978 0.2483022]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.33217473415617]
Predicted rank: [0], ambiguousness: [[0.89761126 0.10238871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.19176603708486]
Predicted rank: [0], ambiguousness: [[0.84464383 0.15535615]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.37648589586436]
Predicted rank: [0], ambiguousness: [[0.9283173  0.07168268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.51226278801667]
Predicted rank: [0], ambiguousness: [[0.83517265 0.16482736]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.12895001447512]
Predicted rank: [0], ambiguousness: [[0.6075822  0.39241776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.40187773396565]
Predicted rank: [0], ambiguousness: [[0.8535541 0.1464459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.76222432230577]
Predicted rank: [0], ambiguousness: [[0.7862561  0.21374393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.38017244566967]
Predicted rank: [0], ambiguousness: [[0.83277714 0.16722284]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.67989506007797]
Predicted rank: [0], ambiguousness: [[0.6647366 0.3352634]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.80469238594299]
Predicted rank: [0], ambiguousness: [[0.7291112 0.2708888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.58665650463887]
Predicted rank: [0], ambiguousness: [[0.6061766 0.3938234]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.16166520984581]
Predicted rank: [0], ambiguousness: [[0.72234523 0.2776548 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.29150494676813]
Predicted rank: [0], ambiguousness: [[0.9007822  0.09921778]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.20592905057163]
Predicted rank: [0], ambiguousness: [[0.81715065 0.18284936]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.39064951379324]
Predicted rank: [0], ambiguousness: [[0.9357463  0.06425367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.5261947357422]
Predicted rank: [0], ambiguousness: [[0.82355344 0.17644654]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.11127374421325]
Predicted rank: [0], ambiguousness: [[0.58689535 0.41310462]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.44649822259981]
Predicted rank: [0], ambiguousness: [[0.85349953 0.14650047]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.93769547002609]
Predicted rank: [0], ambiguousness: [[0.7861827  0.21381728]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.91220029147786]
Predicted rank: [0], ambiguousness: [[0.81315315 0.18684687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.72033633103197]
Predicted rank: [0], ambiguousness: [[0.5791783  0.42082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.61768539287185]
Predicted rank: [0], ambiguousness: [[0.5615369  0.43846306]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.9345269503159]
Predicted rank: [0], ambiguousness: [[0.8630463 0.1369537]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.3914530830192]
Predicted rank: [0], ambiguousness: [[0.78471047 0.21528952]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.2777463617308]
Predicted rank: [0], ambiguousness: [[0.83434147 0.16565852]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.19529725692408]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 107.60988519911515]
Predicted rank: [0], ambiguousness: [[0.6980111 0.3019889]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.38329883255724]
Predicted rank: [0], ambiguousness: [[0.5799939 0.4200061]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 106.97410519725094]
Predicted rank: [0], ambiguousness: [[0.7000643 0.2999357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.10616438112467]
Predicted rank: [0], ambiguousness: [[0.88631827 0.11368171]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.06199438945119]
Predicted rank: [0], ambiguousness: [[0.788908   0.21109203]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.24810136551989]
Predicted rank: [0], ambiguousness: [[0.92615235 0.07384763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.38508240017293]
Predicted rank: [0], ambiguousness: [[0.8007741 0.1992259]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.95819327869498]
Predicted rank: [0], ambiguousness: [[0.5991787 0.4008213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.29756272937951]
Predicted rank: [0], ambiguousness: [[0.8491098  0.15089017]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.79740402226957]
Predicted rank: [0], ambiguousness: [[0.7802952  0.21970482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.79637728901744]
Predicted rank: [0], ambiguousness: [[0.8186654  0.18133458]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.62984964838893]
Predicted rank: [0], ambiguousness: [[0.57070327 0.42929676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.88586038478202]
Predicted rank: [0], ambiguousness: [[0.55169594 0.44830406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.23268859905384]
Predicted rank: [0], ambiguousness: [[0.84418833 0.1558117 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.75139679924172]
Predicted rank: [0], ambiguousness: [[0.77222985 0.22777013]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.81065089682204]
Predicted rank: [0], ambiguousness: [[0.8047764  0.19522363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.54495584057699]
Predicted rank: [0], ambiguousness: [[0.57059634 0.42940363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.07319267749773]
Predicted rank: [0], ambiguousness: [[0.54985464 0.45014533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 105.67219783185902]
Predicted rank: [0], ambiguousness: [[0.54529977 0.45470023]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.0261350974585]
Predicted rank: [0], ambiguousness: [[0.83978087 0.16021912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 106.56062719577159]
Predicted rank: [0], ambiguousness: [[0.7601218  0.23987818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.66576796634331]
Predicted rank: [0], ambiguousness: [[0.76869345 0.23130655]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.38801999237555]
Predicted rank: [0], ambiguousness: [[0.5648511 0.4351489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.3084139655735]
Predicted rank: [0], ambiguousness: [[0.5609164 0.4390836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.08953591057204]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 7]
Costs: [107.58517370744023, 112.62492798684234]
Predicted rank: [0], ambiguousness: [[0.7065963  0.29340369]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 7]
Costs: [107.58517370744023, 113.24650598084881]
Predicted rank: [0], ambiguousness: [[0.8024073  0.19759268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 7]
Costs: [107.58517370744023, 113.39713819898742]
Predicted rank: [0], ambiguousness: [[0.80504304 0.19495697]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.72820593352189]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.27512391180255]
Predicted rank: [0], ambiguousness: [[0.6236182 0.3763818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.61683254434107]
Predicted rank: [0], ambiguousness: [[0.73317134 0.26682863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.85562335645986]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.18011532912467]
Predicted rank: [0], ambiguousness: [[0.8357824  0.16421759]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.47907427885227]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.59912819755718]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.64561447473346]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.63767729342305]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.85680641029259]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.12302575636446]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.19204392161541]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.5077543945539]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.61772162412313]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.6902703430943]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 113.26973341060312]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 113.37844286787855]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 113.49513491505073]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.58832265444698]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.23847637171681]
Predicted rank: [0], ambiguousness: [[0.6157408  0.38425922]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.58892154896466]
Predicted rank: [0], ambiguousness: [[0.72312987 0.27687016]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.82485574655641]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.1795609224744]
Predicted rank: [0], ambiguousness: [[0.8222947  0.17770529]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.4786333319424]
Predicted rank: [0], ambiguousness: [[0.7991351  0.20086491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.5986608986623]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.64517115796298]
Predicted rank: [0], ambiguousness: [[0.90166396 0.09833606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.14020497604528]
Predicted rank: [0], ambiguousness: [[0.5828072  0.41719282]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.31428442704208]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.65662681417407]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.73730438985453]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.23805844802733]
Predicted rank: [0], ambiguousness: [[0.8143762  0.18562382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.35775354827722]
Predicted rank: [0], ambiguousness: [[0.924197   0.07580297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.44120698946509]
Predicted rank: [0], ambiguousness: [[0.8266979  0.17330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.51042125199811]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.68778920274048]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.91532053080292]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.29292946412758]
Predicted rank: [0], ambiguousness: [[0.81404674 0.18595327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.06024111014338]
Predicted rank: [0], ambiguousness: [[0.65179515 0.34820482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.37097169643157]
Predicted rank: [0], ambiguousness: [[0.5714187 0.4285813]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.5599209722331]
Predicted rank: [0], ambiguousness: [[0.6151537  0.38484633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.88453553550175]
Predicted rank: [0], ambiguousness: [[0.7095789 0.2904211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.96180169228853]
Predicted rank: [0], ambiguousness: [[0.8924065  0.10759348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.42372252648207]
Predicted rank: [0], ambiguousness: [[0.8266811  0.17331892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.53946476593103]
Predicted rank: [0], ambiguousness: [[0.9425361 0.0574639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.61855609826152]
Predicted rank: [0], ambiguousness: [[0.82755053 0.17244944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.19621676513637]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.3971146255125]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.67555942194147]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.19207305517318]
Predicted rank: [0], ambiguousness: [[0.7859113 0.2140887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.37091364892504]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.14619946285003]
Predicted rank: [0], ambiguousness: [[0.63943434 0.36056566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.50292973943048]
Predicted rank: [0], ambiguousness: [[0.7429659  0.25703412]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.73584472786224]
Predicted rank: [0], ambiguousness: [[0.74071217 0.2592878 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.11126600351025]
Predicted rank: [0], ambiguousness: [[0.8267961  0.17320387]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.40927890333803]
Predicted rank: [0], ambiguousness: [[0.82183844 0.17816155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.53006737943547]
Predicted rank: [0], ambiguousness: [[0.821194   0.17880599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.57682568441999]
Predicted rank: [0], ambiguousness: [[0.91052437 0.08947562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.07155374956332]
Predicted rank: [0], ambiguousness: [[0.6346394  0.36536062]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.24309152460572]
Predicted rank: [0], ambiguousness: [[0.6646372  0.33536276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.5895826702014]
Predicted rank: [0], ambiguousness: [[0.7731513  0.22684872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.67091429999198]
Predicted rank: [0], ambiguousness: [[0.9080007  0.09199929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.182128602777]
Predicted rank: [0], ambiguousness: [[0.859567 0.140433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.30236898537075]
Predicted rank: [0], ambiguousness: [[0.9358138  0.06418621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.386411262586]
Predicted rank: [0], ambiguousness: [[0.850845   0.14915505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.46637832976927]
Predicted rank: [0], ambiguousness: [[0.6354487  0.36455128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.64402054085873]
Predicted rank: [0], ambiguousness: [[0.8677554 0.1322446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.87208777490173]
Predicted rank: [0], ambiguousness: [[0.8054963  0.19450372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.2511549815043]
Predicted rank: [0], ambiguousness: [[0.8486359  0.15136406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.02215711846651]
Predicted rank: [0], ambiguousness: [[0.6906112  0.30938882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.03199870246384]
Predicted rank: [0], ambiguousness: [[0.6227975 0.3772025]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.199411216024]
Predicted rank: [0], ambiguousness: [[0.6340828 0.3659172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.5565457605098]
Predicted rank: [0], ambiguousness: [[0.74547607 0.25452393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.63907880098907]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.18161491891905]
Predicted rank: [0], ambiguousness: [[0.8341963  0.16580367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.30193614696744]
Predicted rank: [0], ambiguousness: [[0.942514   0.05748601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.38593962625089]
Predicted rank: [0], ambiguousness: [[0.84011906 0.15988095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.86795225640329]
Predicted rank: [0], ambiguousness: [[0.6153008  0.38469923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.08147436915436]
Predicted rank: [0], ambiguousness: [[0.8677053 0.1322947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.38507413627795]
Predicted rank: [0], ambiguousness: [[0.8054279 0.1945721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.97004762935285]
Predicted rank: [0], ambiguousness: [[0.83049417 0.16950583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.174935496127]
Predicted rank: [0], ambiguousness: [[0.60775965 0.39224035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.12879828983314]
Predicted rank: [0], ambiguousness: [[0.59046924 0.40953073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.33307206453125]
Predicted rank: [0], ambiguousness: [[0.8764603  0.12353966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.61954342079515]
Predicted rank: [0], ambiguousness: [[0.80405515 0.19594486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.16077138726222]
Predicted rank: [0], ambiguousness: [[0.8500786  0.14992139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.83632120824251]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.93758339394438]
Predicted rank: [0], ambiguousness: [[0.63882124 0.36117876]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.1010319724524]
Predicted rank: [0], ambiguousness: [[0.6597853  0.34021473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.46564106053361]
Predicted rank: [0], ambiguousness: [[0.7662387  0.23376131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.54922599255438]
Predicted rank: [0], ambiguousness: [[0.91891766 0.08108232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.11140065151577]
Predicted rank: [0], ambiguousness: [[0.8292551  0.17074491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.23237863461534]
Predicted rank: [0], ambiguousness: [[0.9440386  0.05596139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.31706712764031]
Predicted rank: [0], ambiguousness: [[0.8393152  0.16068485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.79388327300069]
Predicted rank: [0], ambiguousness: [[0.6678945 0.3321055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.00936890802137]
Predicted rank: [0], ambiguousness: [[0.88682765 0.11317235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.31707252686621]
Predicted rank: [0], ambiguousness: [[0.82692957 0.17307042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.9136795688979]
Predicted rank: [0], ambiguousness: [[0.8489485  0.15105155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.13077285173024]
Predicted rank: [0], ambiguousness: [[0.641379   0.35862097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.74378289028004]
Predicted rank: [0], ambiguousness: [[0.64257675 0.35742325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.96358404995075]
Predicted rank: [0], ambiguousness: [[0.89121735 0.10878265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.28209528418392]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.91313080058674]
Predicted rank: [0], ambiguousness: [[0.8478545  0.15214552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.49390755607084]
Predicted rank: [0], ambiguousness: [[0.6503025  0.34969744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.76570240551058]
Predicted rank: [0], ambiguousness: [[0.6408658 0.3591342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.6409797617492]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.86413809643969]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.19011762360033]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.84290253194877]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.4184571082505]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.36414308881719]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.26016695630759]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.14615253524177]
Predicted rank: [0], ambiguousness: [[0.6752439 0.3247561]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 112.50288281182222]
Predicted rank: [0], ambiguousness: [[0.7469911 0.2530089]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 111.73579780025398]
Predicted rank: [0], ambiguousness: [[0.74476063 0.25523937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.11121907590197]
Predicted rank: [0], ambiguousness: [[0.82105863 0.17894135]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.40923197572977]
Predicted rank: [0], ambiguousness: [[0.83578616 0.16421384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.5300204518272]
Predicted rank: [0], ambiguousness: [[0.8153124  0.18468763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.57677875681173]
Predicted rank: [0], ambiguousness: [[0.9072493  0.09275075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.07150682195505]
Predicted rank: [0], ambiguousness: [[0.65853107 0.3414689 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.24304459699745]
Predicted rank: [0], ambiguousness: [[0.6991216 0.3008784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.58953574259313]
Predicted rank: [0], ambiguousness: [[0.7909687 0.2090313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.67086737238373]
Predicted rank: [0], ambiguousness: [[0.91637224 0.08362777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.18208167516875]
Predicted rank: [0], ambiguousness: [[0.86477643 0.13522355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.30232205776248]
Predicted rank: [0], ambiguousness: [[0.94147414 0.05852587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.38636433497771]
Predicted rank: [0], ambiguousness: [[0.85632384 0.14367616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.46633140216102]
Predicted rank: [0], ambiguousness: [[0.65931594 0.34068406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.64397361325047]
Predicted rank: [0], ambiguousness: [[0.8849685  0.11503149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.87204084729348]
Predicted rank: [0], ambiguousness: [[0.82136023 0.17863977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.25110805389605]
Predicted rank: [0], ambiguousness: [[0.8573347  0.14266533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.02211019085823]
Predicted rank: [0], ambiguousness: [[0.7125009  0.28749913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.03195177485557]
Predicted rank: [0], ambiguousness: [[0.61915267 0.38084733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.19936428841572]
Predicted rank: [0], ambiguousness: [[0.6619931 0.3380069]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.55649883290155]
Predicted rank: [0], ambiguousness: [[0.74252653 0.25747344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.63903187338082]
Predicted rank: [0], ambiguousness: [[0.9096167  0.09038331]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.1815679913108]
Predicted rank: [0], ambiguousness: [[0.8233831  0.17661692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.30188921935917]
Predicted rank: [0], ambiguousness: [[0.9457659  0.05423409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.38589269864264]
Predicted rank: [0], ambiguousness: [[0.82961315 0.17038685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.86790532879502]
Predicted rank: [0], ambiguousness: [[0.6312444  0.36875558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.08142744154608]
Predicted rank: [0], ambiguousness: [[0.8811364  0.11886358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.3850272086697]
Predicted rank: [0], ambiguousness: [[0.81585014 0.18414989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.9700007017446]
Predicted rank: [0], ambiguousness: [[0.83150107 0.16849893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.17488856851875]
Predicted rank: [0], ambiguousness: [[0.6238248  0.37617522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.12875136222488]
Predicted rank: [0], ambiguousness: [[0.61639035 0.38360962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.333025136923]
Predicted rank: [0], ambiguousness: [[0.90074956 0.09925046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.61949649318689]
Predicted rank: [0], ambiguousness: [[0.8205656  0.17943443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.16072445965395]
Predicted rank: [0], ambiguousness: [[0.8560456  0.14395438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.83627428063424]
Predicted rank: [0], ambiguousness: [[0.63255745 0.36744255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.93733050096598]
Predicted rank: [0], ambiguousness: [[0.6240883  0.37591168]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.10077907947398]
Predicted rank: [0], ambiguousness: [[0.64543283 0.35456717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.46538816755522]
Predicted rank: [0], ambiguousness: [[0.7547075  0.24529247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.54897309957596]
Predicted rank: [0], ambiguousness: [[0.9155813  0.08441871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.11114775853734]
Predicted rank: [0], ambiguousness: [[0.82257485 0.17742515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.23212574163693]
Predicted rank: [0], ambiguousness: [[0.94258887 0.05741115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.3168142346619]
Predicted rank: [0], ambiguousness: [[0.83294916 0.16705081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.79363038002226]
Predicted rank: [0], ambiguousness: [[0.65370464 0.3462954 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.00911601504296]
Predicted rank: [0], ambiguousness: [[0.8823399  0.11766011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.3168196338878]
Predicted rank: [0], ambiguousness: [[0.8176799  0.18232012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.9134266759195]
Predicted rank: [0], ambiguousness: [[0.84289277 0.15710726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.13051995875185]
Predicted rank: [0], ambiguousness: [[0.6266895 0.3733105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.74352999730164]
Predicted rank: [0], ambiguousness: [[0.6186449 0.3813551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.96333115697234]
Predicted rank: [0], ambiguousness: [[0.8828628  0.11713721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.28184239120552]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.91287790760833]
Predicted rank: [0], ambiguousness: [[0.8364371  0.16356288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.49365466309244]
Predicted rank: [0], ambiguousness: [[0.6265874  0.37341264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.76544951253217]
Predicted rank: [0], ambiguousness: [[0.6168877 0.3831123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.63997667935863]
Predicted rank: [0], ambiguousness: [[0.5927775 0.4072225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.86313501404912]
Predicted rank: [0], ambiguousness: [[0.86393654 0.13606349]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.18911454120978]
Predicted rank: [0], ambiguousness: [[0.7933318  0.20666818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.84189944955818]
Predicted rank: [0], ambiguousness: [[0.7911692  0.20883076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.41745402585994]
Predicted rank: [0], ambiguousness: [[0.6082943 0.3917057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.36314000642662]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.2568195683958]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 111.93733678439574]
Predicted rank: [0], ambiguousness: [[0.57657635 0.42342362]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.1007853630573]
Predicted rank: [0], ambiguousness: [[0.59888476 0.40111524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.46539445083019]
Predicted rank: [0], ambiguousness: [[0.71619725 0.28380275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 111.5489793828093]
Predicted rank: [0], ambiguousness: [[0.8939506  0.10604942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.11115404094116]
Predicted rank: [0], ambiguousness: [[0.8016164  0.19838363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.23213202401858]
Predicted rank: [0], ambiguousness: [[0.93131757 0.06868245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.3168205170214]
Predicted rank: [0], ambiguousness: [[0.8129375  0.18706247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.79363666229185]
Predicted rank: [0], ambiguousness: [[0.6075822  0.39241776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.0091222972491]
Predicted rank: [0], ambiguousness: [[0.8535541 0.1464459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.31682591595994]
Predicted rank: [0], ambiguousness: [[0.7862561  0.21374393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.91343295760248]
Predicted rank: [0], ambiguousness: [[0.82382035 0.17617968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.1305262399654]
Predicted rank: [0], ambiguousness: [[0.57928467 0.42071536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.74353627587517]
Predicted rank: [0], ambiguousness: [[0.5709179 0.4290821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.96333743554587]
Predicted rank: [0], ambiguousness: [[0.8541838  0.14581622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.28184866977904]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.91288418618186]
Predicted rank: [0], ambiguousness: [[0.81675136 0.18324865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.49366094166596]
Predicted rank: [0], ambiguousness: [[0.5791783  0.42082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.7654557911057]
Predicted rank: [0], ambiguousness: [[0.56909394 0.43090603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 110.63976946786356]
Predicted rank: [0], ambiguousness: [[0.54415387 0.45584613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 110.86292780241814]
Predicted rank: [0], ambiguousness: [[0.83417726 0.16582274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.18890732926965]
Predicted rank: [0], ambiguousness: [[0.7589158  0.24108423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.84169223670096]
Predicted rank: [0], ambiguousness: [[0.78107345 0.21892656]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.4172468129114]
Predicted rank: [0], ambiguousness: [[0.57070327 0.42929676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.362932789714]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.25585075474811]
Predicted rank: [0], ambiguousness: [[0.542567   0.45743302]]
Running local search 16
Switching 16 patient(s). Size of neighborhood: 4845
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 8]
Costs: [107.58517370744023, 109.18038022497504]
Predicted rank: [0], ambiguousness: [[0.8081827  0.19181725]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 0, 8]
Costs: [107.58517370744023, 110.20954514271043]
Predicted rank: [0], ambiguousness: [[0.862482 0.137518]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 0, 8]
Costs: [107.58517370744023, 110.43996356204912]
Predicted rank: [0], ambiguousness: [[0.88542217 0.11457781]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 7]
Costs: [107.58517370744023, 109.48699855463103]
Predicted rank: [0], ambiguousness: [[0.7078547 0.2921453]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.66840961175545]
Predicted rank: [0], ambiguousness: [[0.7455709  0.25442913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.20831426910063]
Predicted rank: [0], ambiguousness: [[0.83202493 0.16797505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.1049166666923]
Predicted rank: [0], ambiguousness: [[0.7327924 0.2672076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.13561379714713]
Predicted rank: [0], ambiguousness: [[0.88624173 0.11375827]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.13368945168446]
Predicted rank: [0], ambiguousness: [[0.8026308 0.1973692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.32193185514254]
Predicted rank: [0], ambiguousness: [[0.83295393 0.16704606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.39380964171662]
Predicted rank: [0], ambiguousness: [[0.89985883 0.10014119]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.34059072499043]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 108.21475422811002]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.6305816957888]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.73682581408247]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.25419088588802]
Predicted rank: [0], ambiguousness: [[0.8454155  0.15458456]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.420905622818]
Predicted rank: [0], ambiguousness: [[0.92870843 0.07129157]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.53669435121752]
Predicted rank: [0], ambiguousness: [[0.83218837 0.16781165]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 110.53461233274436]
Predicted rank: [0], ambiguousness: [[0.6780225  0.32197747]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 110.6955597669581]
Predicted rank: [0], ambiguousness: [[0.8879819  0.11201809]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 110.87438384736711]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 111.02450924597301]
Predicted rank: [0], ambiguousness: [[0.6728923  0.32710773]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.61921865585583]
Predicted rank: [0], ambiguousness: [[0.7391783  0.26082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.17427218153267]
Predicted rank: [0], ambiguousness: [[0.82044643 0.17955358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.06605218924972]
Predicted rank: [0], ambiguousness: [[0.71187747 0.28812256]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.14920652974988]
Predicted rank: [0], ambiguousness: [[0.8811758  0.11882417]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.14774331232903]
Predicted rank: [0], ambiguousness: [[0.7991351  0.20086491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.33576005779955]
Predicted rank: [0], ambiguousness: [[0.79842865 0.20157133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.4076259977912]
Predicted rank: [0], ambiguousness: [[0.90166396 0.09833606]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.49985499126039]
Predicted rank: [0], ambiguousness: [[0.72540426 0.27459574]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.29437688505087]
Predicted rank: [0], ambiguousness: [[0.6140189  0.38598105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.84209723687266]
Predicted rank: [0], ambiguousness: [[0.72403675 0.27596325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.96852186729626]
Predicted rank: [0], ambiguousness: [[0.8922013  0.10779872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.80612599239964]
Predicted rank: [0], ambiguousness: [[0.8143762  0.18562382]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.98969636657151]
Predicted rank: [0], ambiguousness: [[0.924197   0.07580297]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.12424019590537]
Predicted rank: [0], ambiguousness: [[0.8266979  0.17330211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.7186558630685]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.99101034557162]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.35023911994466]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.96514988753907]
Predicted rank: [0], ambiguousness: [[0.81404674 0.18595327]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.25721408488644]
Predicted rank: [0], ambiguousness: [[0.65179515 0.34820482]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.94628459596365]
Predicted rank: [0], ambiguousness: [[0.70988464 0.29011533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.7705483246441]
Predicted rank: [0], ambiguousness: [[0.6151537  0.38484633]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.28284380207967]
Predicted rank: [0], ambiguousness: [[0.7095789 0.2904211]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.4025529416671]
Predicted rank: [0], ambiguousness: [[0.8924065  0.10759348]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.16180499020352]
Predicted rank: [0], ambiguousness: [[0.8266811  0.17331892]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.33771675866744]
Predicted rank: [0], ambiguousness: [[0.9425361 0.0574639]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.46387004391136]
Predicted rank: [0], ambiguousness: [[0.82755053 0.17244944]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.23367885051098]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.5445964435113]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.9874575723808]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.83058588141725]
Predicted rank: [0], ambiguousness: [[0.7859113 0.2140887]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.59008568294121]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.42937964839221]
Predicted rank: [0], ambiguousness: [[0.7400454  0.25995454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.99768548796942]
Predicted rank: [0], ambiguousness: [[0.8211088 0.1788912]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.8829807406404]
Predicted rank: [0], ambiguousness: [[0.74071217 0.2592878 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.00983771821839]
Predicted rank: [0], ambiguousness: [[0.87411356 0.12588641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.00610062704175]
Predicted rank: [0], ambiguousness: [[0.82183844 0.17816155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.19571488985403]
Predicted rank: [0], ambiguousness: [[0.821194   0.17880599]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.26810282806802]
Predicted rank: [0], ambiguousness: [[0.91052437 0.08947562]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.35879647194143]
Predicted rank: [0], ambiguousness: [[0.74883246 0.25116754]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14785470844046]
Predicted rank: [0], ambiguousness: [[0.6646372  0.33536276]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.70431509304996]
Predicted rank: [0], ambiguousness: [[0.7731513  0.22684872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.83211574159759]
Predicted rank: [0], ambiguousness: [[0.9080007  0.09199929]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.69170704600316]
Predicted rank: [0], ambiguousness: [[0.859567 0.140433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.87642690485202]
Predicted rank: [0], ambiguousness: [[0.9358138  0.06418621]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.01220379707647]
Predicted rank: [0], ambiguousness: [[0.850845   0.14915505]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.62889102528172]
Predicted rank: [0], ambiguousness: [[0.6354487  0.36455128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.90181874478998]
Predicted rank: [0], ambiguousness: [[0.8677554 0.1322446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.26216533316563]
Predicted rank: [0], ambiguousness: [[0.8054963  0.19450372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.88011345662494]
Predicted rank: [0], ambiguousness: [[0.8486359  0.15136406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.17983607125166]
Predicted rank: [0], ambiguousness: [[0.6906112  0.30938882]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.30463340738635]
Predicted rank: [0], ambiguousness: [[0.7333572 0.2666428]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.08659752608224]
Predicted rank: [0], ambiguousness: [[0.6340828 0.3659172]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.66160623128917]
Predicted rank: [0], ambiguousness: [[0.74547607 0.25452393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.79144596821149]
Predicted rank: [0], ambiguousness: [[0.9108818  0.08911817]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.70587007201502]
Predicted rank: [0], ambiguousness: [[0.8341963  0.16580367]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.89059053523661]
Predicted rank: [0], ambiguousness: [[0.942514   0.05748601]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.02613575718559]
Predicted rank: [0], ambiguousness: [[0.84011906 0.15988095]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.61121476565663]
Predicted rank: [0], ambiguousness: [[0.6153008  0.38469923]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.94643924404318]
Predicted rank: [0], ambiguousness: [[0.8677053 0.1322947]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.43763649146945]
Predicted rank: [0], ambiguousness: [[0.8054279 0.1945721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41214131292122]
Predicted rank: [0], ambiguousness: [[0.83049417 0.16950583]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.22027735247535]
Predicted rank: [0], ambiguousness: [[0.60775965 0.39224035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.11762641431521]
Predicted rank: [0], ambiguousness: [[0.59046924 0.40953073]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.43446797175929]
Predicted rank: [0], ambiguousness: [[0.8764603  0.12353966]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.89139410446256]
Predicted rank: [0], ambiguousness: [[0.80405515 0.19594486]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.77768738317418]
Predicted rank: [0], ambiguousness: [[0.8500786  0.14992139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.69523827836744]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.11055128346167]
Predicted rank: [0], ambiguousness: [[0.73962843 0.2603716 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.88396491624063]
Predicted rank: [0], ambiguousness: [[0.6597853  0.34021473]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.4747712822375]
Predicted rank: [0], ambiguousness: [[0.7662387  0.23376131]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.60683046628704]
Predicted rank: [0], ambiguousness: [[0.91891766 0.08108232]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.56266047810948]
Predicted rank: [0], ambiguousness: [[0.8292551  0.17074491]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.74876745427201]
Predicted rank: [0], ambiguousness: [[0.9440386  0.05596139]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.88574848901817]
Predicted rank: [0], ambiguousness: [[0.8393152  0.16068485]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.45885936779776]
Predicted rank: [0], ambiguousness: [[0.6678945 0.3321055]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.79822881875083]
Predicted rank: [0], ambiguousness: [[0.88682765 0.11317235]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.29807011220697]
Predicted rank: [0], ambiguousness: [[0.82692957 0.17307042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.29704338059584]
Predicted rank: [0], ambiguousness: [[0.8489485  0.15105155]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.13051574191536]
Predicted rank: [0], ambiguousness: [[0.641379   0.35862097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.38652648896597]
Predicted rank: [0], ambiguousness: [[0.64257675 0.35742325]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.7333547032378]
Predicted rank: [0], ambiguousness: [[0.89121735 0.10878265]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.25206290342564]
Predicted rank: [0], ambiguousness: [[0.8320164 0.1679836]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.31131700100599]
Predicted rank: [0], ambiguousness: [[0.8478545  0.15214552]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.04562194476092]
Predicted rank: [0], ambiguousness: [[0.6503025  0.34969744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.57385878168168]
Predicted rank: [0], ambiguousness: [[0.6408658 0.3591342]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.17516893100785]
Predicted rank: [0], ambiguousness: [[0.6309838  0.36901614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.52910619718307]
Predicted rank: [0], ambiguousness: [[0.8839145  0.11608551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.06359829680264]
Predicted rank: [0], ambiguousness: [[0.8184836  0.18151641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.16873907124217]
Predicted rank: [0], ambiguousness: [[0.8363471  0.16365293]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.89099109753576]
Predicted rank: [0], ambiguousness: [[0.64591444 0.35408556]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.81138508610519]
Predicted rank: [0], ambiguousness: [[0.6451166  0.35488337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.59883849089364]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.4292054371957]
Predicted rank: [0], ambiguousness: [[0.7583751  0.24162488]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 108.99751127677291]
Predicted rank: [0], ambiguousness: [[0.81510997 0.18489   ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 107.8828065294439]
Predicted rank: [0], ambiguousness: [[0.74476063 0.25523937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.00966350702188]
Predicted rank: [0], ambiguousness: [[0.86960995 0.13039002]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.00592641584524]
Predicted rank: [0], ambiguousness: [[0.83578616 0.16421384]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.19554067865752]
Predicted rank: [0], ambiguousness: [[0.8153124  0.18468763]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.26792861687152]
Predicted rank: [0], ambiguousness: [[0.9072493  0.09275075]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.35862226074491]
Predicted rank: [0], ambiguousness: [[0.75684786 0.24315214]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.14768049724395]
Predicted rank: [0], ambiguousness: [[0.6991216 0.3008784]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.70414088185343]
Predicted rank: [0], ambiguousness: [[0.7909687 0.2090313]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.83194153040107]
Predicted rank: [0], ambiguousness: [[0.91637224 0.08362777]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.69153283480665]
Predicted rank: [0], ambiguousness: [[0.86477643 0.13522355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.87625269365552]
Predicted rank: [0], ambiguousness: [[0.94147414 0.05852587]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.01202958587996]
Predicted rank: [0], ambiguousness: [[0.85632384 0.14367616]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.6287168140852]
Predicted rank: [0], ambiguousness: [[0.65931594 0.34068406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.90164453359345]
Predicted rank: [0], ambiguousness: [[0.8849685  0.11503149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.26199112196912]
Predicted rank: [0], ambiguousness: [[0.82136023 0.17863977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.87993924542843]
Predicted rank: [0], ambiguousness: [[0.8573347  0.14266533]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.17966186005515]
Predicted rank: [0], ambiguousness: [[0.7125009  0.28749913]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.30445919618985]
Predicted rank: [0], ambiguousness: [[0.7180346  0.28196535]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.08642331488574]
Predicted rank: [0], ambiguousness: [[0.6619931 0.3380069]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.66143202009266]
Predicted rank: [0], ambiguousness: [[0.74252653 0.25747344]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.79127175701498]
Predicted rank: [0], ambiguousness: [[0.9096167  0.09038331]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.70569586081851]
Predicted rank: [0], ambiguousness: [[0.8233831  0.17661692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.8904163240401]
Predicted rank: [0], ambiguousness: [[0.9457659  0.05423409]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.02596154598905]
Predicted rank: [0], ambiguousness: [[0.82961315 0.17038685]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.6110405544601]
Predicted rank: [0], ambiguousness: [[0.6312444  0.36875558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.94626503284667]
Predicted rank: [0], ambiguousness: [[0.8811364  0.11886358]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.43746228027294]
Predicted rank: [0], ambiguousness: [[0.81585014 0.18414989]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.41196710172468]
Predicted rank: [0], ambiguousness: [[0.83150107 0.16849893]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.22010314127883]
Predicted rank: [0], ambiguousness: [[0.6238248  0.37617522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.11745220311872]
Predicted rank: [0], ambiguousness: [[0.61639035 0.38360962]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.43429376056275]
Predicted rank: [0], ambiguousness: [[0.90074956 0.09925046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.89121989326604]
Predicted rank: [0], ambiguousness: [[0.8205656  0.17943443]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.77751317197769]
Predicted rank: [0], ambiguousness: [[0.8560456  0.14395438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.69506406717093]
Predicted rank: [0], ambiguousness: [[0.63255745 0.36744255]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.10968525121105]
Predicted rank: [0], ambiguousness: [[0.6794575 0.3205425]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.88309888398999]
Predicted rank: [0], ambiguousness: [[0.64543283 0.35456717]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.47390524998684]
Predicted rank: [0], ambiguousness: [[0.7547075  0.24529247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.6059644340364]
Predicted rank: [0], ambiguousness: [[0.9155813  0.08441871]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.56179444585882]
Predicted rank: [0], ambiguousness: [[0.82257485 0.17742515]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.74790142202139]
Predicted rank: [0], ambiguousness: [[0.94258887 0.05741115]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.88488245676751]
Predicted rank: [0], ambiguousness: [[0.83294916 0.16705081]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.45799333554712]
Predicted rank: [0], ambiguousness: [[0.65370464 0.3462954 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.7973627865002]
Predicted rank: [0], ambiguousness: [[0.8823399  0.11766011]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.29720407995634]
Predicted rank: [0], ambiguousness: [[0.8176799  0.18232012]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.2961773483452]
Predicted rank: [0], ambiguousness: [[0.84289277 0.15710726]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.12964970966472]
Predicted rank: [0], ambiguousness: [[0.6266895 0.3733105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.38566045671531]
Predicted rank: [0], ambiguousness: [[0.6186449 0.3813551]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.73248867098715]
Predicted rank: [0], ambiguousness: [[0.8828628  0.11713721]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.25119687117501]
Predicted rank: [0], ambiguousness: [[0.81715953 0.18284045]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.31045096875533]
Predicted rank: [0], ambiguousness: [[0.8364371  0.16356288]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.04475591251028]
Predicted rank: [0], ambiguousness: [[0.6265874  0.37341264]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.57299274943102]
Predicted rank: [0], ambiguousness: [[0.6168877 0.3831123]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.17204476837617]
Predicted rank: [0], ambiguousness: [[0.5927775 0.4072225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.52598203455138]
Predicted rank: [0], ambiguousness: [[0.86393654 0.13606349]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.06047413417093]
Predicted rank: [0], ambiguousness: [[0.7933318  0.20666818]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.16561490861048]
Predicted rank: [0], ambiguousness: [[0.7911692  0.20883076]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.88786693490405]
Predicted rank: [0], ambiguousness: [[0.6082943 0.3917057]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.80826092347351]
Predicted rank: [0], ambiguousness: [[0.6168295  0.38317046]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.58940277525285]
Predicted rank: [0], ambiguousness: [[0.5944119 0.4055881]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.10972821647027]
Predicted rank: [0], ambiguousness: [[0.71420944 0.2857906 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 106.88314184991236]
Predicted rank: [0], ambiguousness: [[0.59888476 0.40111524]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.47394821460605]
Predicted rank: [0], ambiguousness: [[0.71619725 0.28380275]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 107.60600739847979]
Predicted rank: [0], ambiguousness: [[0.8939506  0.10604942]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.56183740680629]
Predicted rank: [0], ambiguousness: [[0.8016164  0.19838363]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.747944382875]
Predicted rank: [0], ambiguousness: [[0.93131757 0.06868245]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.88492541752804]
Predicted rank: [0], ambiguousness: [[0.8129375  0.18706247]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.45803629605011]
Predicted rank: [0], ambiguousness: [[0.6075822  0.39241776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.79740574673463]
Predicted rank: [0], ambiguousness: [[0.8535541 0.1464459]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.29724703962471]
Predicted rank: [0], ambiguousness: [[0.7862561  0.21374393]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.29622030637256]
Predicted rank: [0], ambiguousness: [[0.82382035 0.17617968]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.12969266574406]
Predicted rank: [0], ambiguousness: [[0.57928467 0.42071536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.38570340213715]
Predicted rank: [0], ambiguousness: [[0.5709179 0.4290821]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.73253161640896]
Predicted rank: [0], ambiguousness: [[0.8541838  0.14581622]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.25123981659684]
Predicted rank: [0], ambiguousness: [[0.78566957 0.21433042]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.31049391417716]
Predicted rank: [0], ambiguousness: [[0.81675136 0.18324865]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.04479885793211]
Predicted rank: [0], ambiguousness: [[0.5791783  0.42082173]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.57303569485286]
Predicted rank: [0], ambiguousness: [[0.56909394 0.43090603]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.1713647088601]
Predicted rank: [0], ambiguousness: [[0.54415387 0.45584613]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 106.52530197445958]
Predicted rank: [0], ambiguousness: [[0.83417726 0.16582274]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.05979407277266]
Predicted rank: [0], ambiguousness: [[0.7589158  0.24108423]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.1649348433444]
Predicted rank: [0], ambiguousness: [[0.78107345 0.21892656]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.88718686937662]
Predicted rank: [0], ambiguousness: [[0.57070327 0.42929676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.80758084257457]
Predicted rank: [0], ambiguousness: [[0.55928946 0.4407105 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 105.5864179484821]
Predicted rank: [0], ambiguousness: [[0.542567   0.45743302]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 7]
Costs: [107.58517370744023, 112.64614796090325]
Predicted rank: [0], ambiguousness: [[0.5980406 0.4019594]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 7]
Costs: [107.58517370744023, 113.0028782374837]
Predicted rank: [0], ambiguousness: [[0.7080308 0.2919692]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 6]
Costs: [107.58517370744023, 112.23579322591547]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 7]
Costs: [107.58517370744023, 113.61121450156345]
Predicted rank: [0], ambiguousness: [[0.8001907 0.1998093]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.90922740139125]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 6]
Costs: [107.58517370744023, 113.0300158774887]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 6]
Costs: [107.58517370744023, 113.0767741824732]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.57150224761654]
Predicted rank: [0], ambiguousness: [[0.59304553 0.40695447]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.74304002265893]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.08953116825461]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.17086279804519]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.68207710083021]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.80231748342396]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.8863597606392]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.96632682782248]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.14396903891193]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.37203627295496]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.75110347955753]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.52210561651972]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.53194720051707]
Predicted rank: [0], ambiguousness: [[0.5807462 0.4192538]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.6993597140772]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.05649425856303]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.13902729904231]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.68156341697228]
Predicted rank: [0], ambiguousness: [[0.8084643 0.1915357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.80188464502066]
Predicted rank: [0], ambiguousness: [[0.93222666 0.06777333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.88588812430412]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.36790075445651]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.58142286720758]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.88502263433116]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.46999612740609]
Predicted rank: [0], ambiguousness: [[0.80432236 0.19567764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.67488399418022]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.62874678788634]
Predicted rank: [0], ambiguousness: [[0.5474328 0.4525672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.83302056258447]
Predicted rank: [0], ambiguousness: [[0.85615647 0.14384355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.11949191884835]
Predicted rank: [0], ambiguousness: [[0.7749076  0.22509244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.66071988531543]
Predicted rank: [0], ambiguousness: [[0.82629824 0.1737018 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.33626970629572]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.43732700142178]
Predicted rank: [0], ambiguousness: [[0.605214   0.39478597]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.6007755799298]
Predicted rank: [0], ambiguousness: [[0.6269897 0.3730103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.96538466801101]
Predicted rank: [0], ambiguousness: [[0.7396557  0.26034433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.04896960003178]
Predicted rank: [0], ambiguousness: [[0.904672   0.09532797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.61114425899316]
Predicted rank: [0], ambiguousness: [[0.81979084 0.18020916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.73212224209274]
Predicted rank: [0], ambiguousness: [[0.938521   0.06147894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.81681073511771]
Predicted rank: [0], ambiguousness: [[0.83029443 0.16970558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.29362688047809]
Predicted rank: [0], ambiguousness: [[0.6354487  0.36455128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.50911251549877]
Predicted rank: [0], ambiguousness: [[0.8677554 0.1322446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.81681613434361]
Predicted rank: [0], ambiguousness: [[0.8054963  0.19450372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.4134231763753]
Predicted rank: [0], ambiguousness: [[0.8403657 0.1596343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.63051645920764]
Predicted rank: [0], ambiguousness: [[0.60786366 0.3921363 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.24352649775744]
Predicted rank: [0], ambiguousness: [[0.59967256 0.4003274 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.46332765742815]
Predicted rank: [0], ambiguousness: [[0.86833346 0.13166657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.78183889166132]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.41287440806414]
Predicted rank: [0], ambiguousness: [[0.8338267 0.1661733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.99365116354824]
Predicted rank: [0], ambiguousness: [[0.60775965 0.39224035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.26544601298798]
Predicted rank: [0], ambiguousness: [[0.5978848  0.40211523]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.13997363329685]
Predicted rank: [0], ambiguousness: [[0.62636787 0.37363213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.36313196798733]
Predicted rank: [0], ambiguousness: [[0.8796992  0.12030084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.68911149514798]
Predicted rank: [0], ambiguousness: [[0.8155273  0.18447268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.3418964034964]
Predicted rank: [0], ambiguousness: [[0.82258123 0.17741877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91745097979815]
Predicted rank: [0], ambiguousness: [[0.641379   0.35862097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.86313696036483]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.75681657789323]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.43728007381353]
Predicted rank: [0], ambiguousness: [[0.6102649  0.38973507]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 111.60072865232152]
Predicted rank: [0], ambiguousness: [[0.66338456 0.3366154 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 111.96533774040276]
Predicted rank: [0], ambiguousness: [[0.74371487 0.25628513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.04892267242352]
Predicted rank: [0], ambiguousness: [[0.9064836  0.09351642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.6110973313849]
Predicted rank: [0], ambiguousness: [[0.8138735  0.18612644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.73207531448448]
Predicted rank: [0], ambiguousness: [[0.9439569  0.05604307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.81676380750943]
Predicted rank: [0], ambiguousness: [[0.8246482  0.17535178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.2935799528698]
Predicted rank: [0], ambiguousness: [[0.65931594 0.34068406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.5090655878905]
Predicted rank: [0], ambiguousness: [[0.8849685  0.11503149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.81676920673533]
Predicted rank: [0], ambiguousness: [[0.82136023 0.17863977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.41337624876704]
Predicted rank: [0], ambiguousness: [[0.84615993 0.15384008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.63046953159937]
Predicted rank: [0], ambiguousness: [[0.6324924  0.36750758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.24347957014919]
Predicted rank: [0], ambiguousness: [[0.59594923 0.40405077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.4632807298199]
Predicted rank: [0], ambiguousness: [[0.88170946 0.11829053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.78179196405307]
Predicted rank: [0], ambiguousness: [[0.8025066  0.19749337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.41282748045586]
Predicted rank: [0], ambiguousness: [[0.8229945  0.17700553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.99360423593998]
Predicted rank: [0], ambiguousness: [[0.6238248  0.37617522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.26539908537973]
Predicted rank: [0], ambiguousness: [[0.62363565 0.37636438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.13972074031844]
Predicted rank: [0], ambiguousness: [[0.6114359 0.3885641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.36287907500893]
Predicted rank: [0], ambiguousness: [[0.8749686  0.12503141]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.68885860216957]
Predicted rank: [0], ambiguousness: [[0.80581135 0.19418867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.341643510518]
Predicted rank: [0], ambiguousness: [[0.8156979  0.18430206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91719808681975]
Predicted rank: [0], ambiguousness: [[0.6266895 0.3733105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.86288406738643]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.75581349550265]
Predicted rank: [0], ambiguousness: [[0.58963597 0.41036406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.13972702410953]
Predicted rank: [0], ambiguousness: [[0.5634434 0.4365566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.36288535866413]
Predicted rank: [0], ambiguousness: [[0.8446968 0.1553032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 111.68886488551564]
Predicted rank: [0], ambiguousness: [[0.77291006 0.22708994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.34164979294695]
Predicted rank: [0], ambiguousness: [[0.79413044 0.20586956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.91720436915736]
Predicted rank: [0], ambiguousness: [[0.57928467 0.42071536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.86289034595997]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 110.75560628414783]
Predicted rank: [0], ambiguousness: [[0.5409277 0.4590723]]
Running local search 17
Switching 17 patient(s). Size of neighborhood: 1140
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 8]
Costs: [107.58517370744023, 108.92918451353191]
Predicted rank: [0], ambiguousness: [[0.7246211  0.27537888]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 0, 8]
Costs: [107.58517370744023, 109.49749035310911]
Predicted rank: [0], ambiguousness: [[0.8092546 0.1907454]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 7]
Costs: [107.58517370744023, 108.3827856057801]
Predicted rank: [0], ambiguousness: [[0.70559216 0.2944078 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 8]
Costs: [107.58517370744023, 110.50964258335809]
Predicted rank: [0], ambiguousness: [[0.8651951  0.13480489]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 1, 1, 7]
Costs: [107.58517370744023, 109.50590549218143]
Predicted rank: [0], ambiguousness: [[0.7946606  0.20533937]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 0, 1, 7]
Costs: [107.58517370744023, 109.69551975499371]
Predicted rank: [0], ambiguousness: [[0.79394245 0.20605752]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 2, 0, 7]
Costs: [107.58517370744023, 109.76790769320772]
Predicted rank: [0], ambiguousness: [[0.89514923 0.10485078]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.85860133708113]
Predicted rank: [0], ambiguousness: [[0.73374194 0.26625806]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.64765957358014]
Predicted rank: [0], ambiguousness: [[0.6244376  0.37556246]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.20411995818964]
Predicted rank: [0], ambiguousness: [[0.740888   0.25911197]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.33192060673727]
Predicted rank: [0], ambiguousness: [[0.89224327 0.10775676]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.19151191114284]
Predicted rank: [0], ambiguousness: [[0.83700305 0.16299695]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.3762317699917]
Predicted rank: [0], ambiguousness: [[0.9244236  0.07557642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.51200866221616]
Predicted rank: [0], ambiguousness: [[0.8271613  0.17283866]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 108.1286958904214]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.40162360992966]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.76197019830532]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.37991832176462]
Predicted rank: [0], ambiguousness: [[0.8246739  0.17532611]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 2, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 110.67964093639134]
Predicted rank: [0], ambiguousness: [[0.6518942  0.34810576]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.80443827252603]
Predicted rank: [0], ambiguousness: [[0.7176875  0.28231254]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.58640239122192]
Predicted rank: [0], ambiguousness: [[0.59246635 0.40753368]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.16141109642886]
Predicted rank: [0], ambiguousness: [[0.7107493  0.28925067]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.29125083335119]
Predicted rank: [0], ambiguousness: [[0.89556104 0.10443894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.2056749371547]
Predicted rank: [0], ambiguousness: [[0.8084643 0.1915357]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.39039540037629]
Predicted rank: [0], ambiguousness: [[0.93222666 0.06777333]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.52594062232527]
Predicted rank: [0], ambiguousness: [[0.81510246 0.18489753]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.1110196307963]
Predicted rank: [0], ambiguousness: [[0.5729867 0.4270133]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.44624410918286]
Predicted rank: [0], ambiguousness: [[0.846215   0.15378502]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.93744135660913]
Predicted rank: [0], ambiguousness: [[0.77642775 0.22357225]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.9119461780609]
Predicted rank: [0], ambiguousness: [[0.80432236 0.19567764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.72008221761504]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.6174312794549]
Predicted rank: [0], ambiguousness: [[0.5474328 0.4525672]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.93427283689897]
Predicted rank: [0], ambiguousness: [[0.85615647 0.14384355]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.39119896960224]
Predicted rank: [0], ambiguousness: [[0.7749076  0.22509244]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.27749224831388]
Predicted rank: [0], ambiguousness: [[0.82629824 0.1737018 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.19504314350712]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.60966921807623]
Predicted rank: [0], ambiguousness: [[0.71859884 0.28140113]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.38308285085519]
Predicted rank: [0], ambiguousness: [[0.6269897 0.3730103]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.97388921685204]
Predicted rank: [0], ambiguousness: [[0.7396557  0.26034433]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.10594840090158]
Predicted rank: [0], ambiguousness: [[0.904672   0.09532797]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.06177841272404]
Predicted rank: [0], ambiguousness: [[0.81979084 0.18020916]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.24788538888657]
Predicted rank: [0], ambiguousness: [[0.938521   0.06147894]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.38486642363273]
Predicted rank: [0], ambiguousness: [[0.83029443 0.16970558]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.9579773024123]
Predicted rank: [0], ambiguousness: [[0.6354487  0.36455128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.29734675336539]
Predicted rank: [0], ambiguousness: [[0.8677554 0.1322446]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.79718804682153]
Predicted rank: [0], ambiguousness: [[0.8054963  0.19450372]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.79616131521038]
Predicted rank: [0], ambiguousness: [[0.8403657 0.1596343]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.62963367652992]
Predicted rank: [0], ambiguousness: [[0.60786366 0.3921363 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.88564442358052]
Predicted rank: [0], ambiguousness: [[0.59967256 0.4003274 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.23247263785234]
Predicted rank: [0], ambiguousness: [[0.86833346 0.13166657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.7511808380402]
Predicted rank: [0], ambiguousness: [[0.80494946 0.19505052]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.81043493562052]
Predicted rank: [0], ambiguousness: [[0.8338267 0.1661733]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.54473987937548]
Predicted rank: [0], ambiguousness: [[0.60775965 0.39224035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.07297671629622]
Predicted rank: [0], ambiguousness: [[0.5978848  0.40211523]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.67203079166119]
Predicted rank: [0], ambiguousness: [[0.62636787 0.37363213]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.0259680578364]
Predicted rank: [0], ambiguousness: [[0.8796992  0.12030084]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.56046015745596]
Predicted rank: [0], ambiguousness: [[0.8155273  0.18447268]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.66560093189551]
Predicted rank: [0], ambiguousness: [[0.82258123 0.17741877]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.38785295818909]
Predicted rank: [0], ambiguousness: [[0.641379   0.35862097]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.30824694675852]
Predicted rank: [0], ambiguousness: [[0.6496086 0.3503914]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.08938904703265]
Predicted rank: [0], ambiguousness: [[0.6279521  0.37204793]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 108.60949500687973]
Predicted rank: [0], ambiguousness: [[0.7103751  0.28962493]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.38290863965868]
Predicted rank: [0], ambiguousness: [[0.66338456 0.3366154 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 107.97371500565554]
Predicted rank: [0], ambiguousness: [[0.74371487 0.25628513]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.10577418970507]
Predicted rank: [0], ambiguousness: [[0.9064836  0.09351642]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.0616042015275]
Predicted rank: [0], ambiguousness: [[0.8138735  0.18612644]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.24771117769006]
Predicted rank: [0], ambiguousness: [[0.9439569  0.05604307]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.38469221243619]
Predicted rank: [0], ambiguousness: [[0.8246482  0.17535178]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.9578030912158]
Predicted rank: [0], ambiguousness: [[0.65931594 0.34068406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.29717254216888]
Predicted rank: [0], ambiguousness: [[0.8849685  0.11503149]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.79701383562502]
Predicted rank: [0], ambiguousness: [[0.82136023 0.17863977]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.79598710401388]
Predicted rank: [0], ambiguousness: [[0.84615993 0.15384008]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.62945946533341]
Predicted rank: [0], ambiguousness: [[0.6324924  0.36750758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.885470212384]
Predicted rank: [0], ambiguousness: [[0.59594923 0.40405077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.23229842665583]
Predicted rank: [0], ambiguousness: [[0.88170946 0.11829053]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.75100662684369]
Predicted rank: [0], ambiguousness: [[0.8025066  0.19749337]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.81026072442401]
Predicted rank: [0], ambiguousness: [[0.8229945  0.17700553]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.54456566817896]
Predicted rank: [0], ambiguousness: [[0.6238248  0.37617522]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.07280250509972]
Predicted rank: [0], ambiguousness: [[0.62363565 0.37636438]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.67116475941054]
Predicted rank: [0], ambiguousness: [[0.6114359 0.3885641]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.02510202558575]
Predicted rank: [0], ambiguousness: [[0.8749686  0.12503141]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.55959412520531]
Predicted rank: [0], ambiguousness: [[0.80581135 0.19418867]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.66473489964486]
Predicted rank: [0], ambiguousness: [[0.8156979  0.18430206]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.38698692593843]
Predicted rank: [0], ambiguousness: [[0.6266895 0.3733105]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.30738091450789]
Predicted rank: [0], ambiguousness: [[0.62587345 0.37412652]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.08626488440096]
Predicted rank: [0], ambiguousness: [[0.58963597 0.41036406]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 106.67120772621521]
Predicted rank: [0], ambiguousness: [[0.5634434 0.4365566]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.02514499181471]
Predicted rank: [0], ambiguousness: [[0.8446968 0.1553032]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 107.55963709012778]
Predicted rank: [0], ambiguousness: [[0.77291006 0.22708994]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.6647778606995]
Predicted rank: [0], ambiguousness: [[0.79413044 0.20586956]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.38702988673177]
Predicted rank: [0], ambiguousness: [[0.57928467 0.42071536]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.3074238599297]
Predicted rank: [0], ambiguousness: [[0.5784347 0.4215653]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.08558482548318]
Predicted rank: [0], ambiguousness: [[0.5409277 0.4590723]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 7]
Costs: [107.58517370744023, 112.937275499475]
Predicted rank: [0], ambiguousness: [[0.56257915 0.43742082]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 6]
Costs: [107.58517370744023, 112.100724077983]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 6]
Costs: [107.58517370744023, 112.46533316606424]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 6]
Costs: [107.58517370744023, 112.54891809808498]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 6]
Costs: [107.58517370744023, 113.11109275704636]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 6]
Costs: [107.58517370744023, 113.23207074014596]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 6]
Costs: [107.58517370744023, 113.31675923317093]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.79357537853129]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.00906101355199]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.31676463239683]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.91337167442852]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.13046495726087]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.74347499581066]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.96327615548137]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.28178738971454]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.91282290611736]
Predicted rank: [0], ambiguousness: [[0.8080505 0.1919495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.49359966160146]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.7653945110412]
Predicted rank: [0], ambiguousness: [[0.55504036 0.44495964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.63971724077425]
Predicted rank: [0], ambiguousness: [[0.5923413  0.40765873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.86287557546473]
Predicted rank: [0], ambiguousness: [[0.85961574 0.14038424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.18885510262538]
Predicted rank: [0], ambiguousness: [[0.7930354 0.2069646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.8416400109738]
Predicted rank: [0], ambiguousness: [[0.81283057 0.18716943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.41719458727555]
Predicted rank: [0], ambiguousness: [[0.60786366 0.3921363 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.36288056784223]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.25581044944087]
Predicted rank: [0], ambiguousness: [[0.6233207  0.37667927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 111.63967031316596]
Predicted rank: [0], ambiguousness: [[0.5974473 0.4025527]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 111.86282864785647]
Predicted rank: [0], ambiguousness: [[0.8777391  0.12226096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.18880817501713]
Predicted rank: [0], ambiguousness: [[0.79649127 0.20350872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.84159308336555]
Predicted rank: [0], ambiguousness: [[0.8067386 0.1932614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.41714765966728]
Predicted rank: [0], ambiguousness: [[0.6324924  0.36750758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.36283364023396]
Predicted rank: [0], ambiguousness: [[0.60333216 0.3966678 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.25555755646246]
Predicted rank: [0], ambiguousness: [[0.6083432  0.39165682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.25556384039382]
Predicted rank: [0], ambiguousness: [[0.5602434  0.43975657]]
Running local search 18
Switching 18 patient(s). Size of neighborhood: 190
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 8]
Costs: [107.58517370744023, 109.10947408321593]
Predicted rank: [0], ambiguousness: [[0.7024137 0.2975863]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 7]
Costs: [107.58517370744023, 107.88288771599487]
Predicted rank: [0], ambiguousness: [[0.58509433 0.4149057 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 0, 1, 7]
Costs: [107.58517370744023, 108.47369408199172]
Predicted rank: [0], ambiguousness: [[0.70444965 0.29555035]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 2, 0, 7]
Costs: [107.58517370744023, 108.60575326604126]
Predicted rank: [0], ambiguousness: [[0.88841444 0.11158554]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 1, 7]
Costs: [107.58517370744023, 109.56158327786372]
Predicted rank: [0], ambiguousness: [[0.79237956 0.20762043]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 2, 0, 7]
Costs: [107.58517370744023, 109.74769025402625]
Predicted rank: [0], ambiguousness: [[0.92757404 0.07242593]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 2, 1, 0, 7]
Costs: [107.58517370744023, 109.88467128877241]
Predicted rank: [0], ambiguousness: [[0.804099   0.19590099]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.457782167552]
Predicted rank: [0], ambiguousness: [[0.59388804 0.40611196]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.79715161850508]
Predicted rank: [0], ambiguousness: [[0.84627175 0.15372822]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.29699291196123]
Predicted rank: [0], ambiguousness: [[0.7765035  0.22349651]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.29596618035006]
Predicted rank: [0], ambiguousness: [[0.81537926 0.18462077]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 108.1294385416696]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.3854492887202]
Predicted rank: [0], ambiguousness: [[0.55687743 0.44312257]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.73227750299202]
Predicted rank: [0], ambiguousness: [[0.84692717 0.15307283]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.2509857031799]
Predicted rank: [0], ambiguousness: [[0.77589786 0.22410215]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.31023980076021]
Predicted rank: [0], ambiguousness: [[0.8080505 0.1919495]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.04454474451518]
Predicted rank: [0], ambiguousness: [[0.56520224 0.43479776]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.57278158143592]
Predicted rank: [0], ambiguousness: [[0.55504036 0.44495964]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.17114872627573]
Predicted rank: [0], ambiguousness: [[0.5923413  0.40765873]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.52508599245095]
Predicted rank: [0], ambiguousness: [[0.85961574 0.14038424]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.05957809207052]
Predicted rank: [0], ambiguousness: [[0.7930354 0.2069646]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.16471886651006]
Predicted rank: [0], ambiguousness: [[0.81283057 0.18716943]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.88697089280363]
Predicted rank: [0], ambiguousness: [[0.60786366 0.3921363 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.80736488137308]
Predicted rank: [0], ambiguousness: [[0.60703236 0.39296764]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.58625090768598]
Predicted rank: [0], ambiguousness: [[0.6233207  0.37667927]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.17097451507922]
Predicted rank: [0], ambiguousness: [[0.5974473 0.4025527]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 107.52491178125445]
Predicted rank: [0], ambiguousness: [[0.8777391  0.12226096]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.059403880874]
Predicted rank: [0], ambiguousness: [[0.79649127 0.20350872]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.16454465531355]
Predicted rank: [0], ambiguousness: [[0.8067386 0.1932614]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.88679668160712]
Predicted rank: [0], ambiguousness: [[0.6324924  0.36750758]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.80719067017657]
Predicted rank: [0], ambiguousness: [[0.60333216 0.3966678 ]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.58538487543534]
Predicted rank: [0], ambiguousness: [[0.6083432  0.39165682]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 0, 2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 106.5854278428383]
Predicted rank: [0], ambiguousness: [[0.5602434  0.43975657]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 6]
Costs: [107.58517370744023, 112.13966573882746]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 6]
Costs: [107.58517370744023, 112.36282407351796]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 6]
Costs: [107.58517370744023, 112.6888036006786]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 6]
Costs: [107.58517370744023, 113.34158850902702]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.91714308532877]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.86282906589545]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.75555405691827]
Predicted rank: [0], ambiguousness: [[0.5891987  0.41080132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 111.75550712931]
Predicted rank: [0], ambiguousness: [[0.59431714 0.40568286]]
Running local search 19
Switching 19 patient(s). Size of neighborhood: 20
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 7]
Costs: [107.58517370744023, 107.67095359141543]
Predicted rank: [0], ambiguousness: [[0.54935133 0.45064864]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 2, 0, 7]
Costs: [107.58517370744023, 108.02489085759063]
Predicted rank: [0], ambiguousness: [[0.8370581  0.16294187]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 2, 1, 0, 7]
Costs: [107.58517370744023, 108.5593829572102]
Predicted rank: [0], ambiguousness: [[0.76273227 0.23726772]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 1, 1, 0, 7]
Costs: [107.58517370744023, 109.66452373164974]
Predicted rank: [0], ambiguousness: [[0.7846387  0.21536128]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.38677575794333]
Predicted rank: [0], ambiguousness: [[0.5653095 0.4346905]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.30716974651276]
Predicted rank: [0], ambiguousness: [[0.5644525  0.43554744]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 8, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.08536884230054]
Predicted rank: [0], ambiguousness: [[0.5891987  0.41080132]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 7, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7]
Costs: [107.58517370744023, 107.08519463110403]
Predicted rank: [0], ambiguousness: [[0.59431714 0.40568286]]
Schedule pairs: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7, 9, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 6]
Costs: [107.58517370744023, 112.25550255497149]
Predicted rank: [0], ambiguousness: [[0.5461313 0.4538687]]

Initial schedule: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7], with objective value: 94.11332405341892.
Final schedule: [8, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 7], with objective value: 107.58517370744023.

Run the local search algorithm

from functions import local_search
# Computing optimal solution with real cost
print(f"Initial schedule: {x}")
test_x = local_search(x, d, convolutions, w, v_star, T, echo=True)

Initial schedule: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Initial solution: [2 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 1 1 1 7], cost: 94.11332405341892
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 0 1 1 0 1 1 0 1 1 0 1 1 1 1 7], cost: 93.58504822934245
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 0 1 1 0 1 1 1 0 1 0 1 1 1 1 7], cost: 93.57344567041245
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 0 1 1 1 0 1 1 0 1 0 1 1 1 1 7], cost: 93.53893238031655
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 1 0 1 1 0 1 1 0 1 0 1 1 1 1 7], cost: 93.47803103540355
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 7], cost: 93.0722043166403
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 7], cost: 92.92146145575427
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 0 1 1 7], cost: 92.88606966967413
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 1 0 1 7], cost: 92.82834263630255
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Found better solution: [2 1 1 0 1 1 0 1 1 1 0 1 1 0 1 1 1 0 1 7], cost: 92.82340948619648
Running local search with switching 1 patient(s)
Size of neighborhood: 15
Running local search with switching 2 patient(s)
Size of neighborhood: 110
Found better solution: [2 1 1 0 1 1 0 1 1 1 0 1 1 0 1 1 1 1 1 6], cost: 92.78279571628545
Running local search with switching 1 patient(s)
Size of neighborhood: 16
Found better solution: [2 1 1 0 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 6], cost: 92.74221089599224
Running local search with switching 1 patient(s)
Size of neighborhood: 16
Running local search with switching 2 patient(s)
Size of neighborhood: 124
Running local search with switching 3 patient(s)
Size of neighborhood: 620
Running local search with switching 4 patient(s)
Size of neighborhood: 2246
Running local search with switching 5 patient(s)
Size of neighborhood: 6272
Running local search with switching 6 patient(s)
Size of neighborhood: 14018
Running local search with switching 7 patient(s)
Size of neighborhood: 25688
Running local search with switching 8 patient(s)
Size of neighborhood: 39209
Running local search with switching 9 patient(s)
Size of neighborhood: 50348
Running local search with switching 10 patient(s)
Size of neighborhood: 54692
Running local search with switching 11 patient(s)
Size of neighborhood: 50348
Running local search with switching 12 patient(s)
Size of neighborhood: 39209
Running local search with switching 13 patient(s)
Size of neighborhood: 25688
Running local search with switching 14 patient(s)
Size of neighborhood: 14018
Running local search with switching 15 patient(s)
Size of neighborhood: 6272
Running local search with switching 16 patient(s)
Size of neighborhood: 2246
Running local search with switching 17 patient(s)
Size of neighborhood: 620
Running local search with switching 18 patient(s)
Size of neighborhood: 124
Running local search with switching 19 patient(s)
Size of neighborhood: 16

print(f"Initial schedule: {x}\nFinal schedule: {test_x[0]}\nDifference: {test_x[0] - x}\nObjective value: {test_x[1]}")
test_obj = calculate_objective_serv_time_lookup(test_x[0], d, convolutions)
test_c_star = w * test_obj[0] + (1 - w) * test_obj[1]
print(f"Initial schedule: {x}, with objective value: {initial_c_star}.\nFinal schedule: {test_x[0]}, with objective value: {test_c_star}.")

Initial schedule: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7]
Final schedule: [2 1 1 0 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 6]
Difference: [ 0  0  0  0  0  1 -1  0  1  0 -1  1  0  1 -1  0  0  0  0 -1]
Objective value: 92.74221089599224
Initial schedule: [2, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 7], with objective value: 94.11332405341892.
Final schedule: [2 1 1 0 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 6], with objective value: 92.74221089599224.

Discussion

Analyze your results in this section. Discuss whether your hypothesis was supported, what the results mean, and the implications for future work. Address any anomalies or unexpected findings, and consider the broader impact of your results.

Timeline

Document the duration and key dates of the experiment. This helps in project management and reproducibility.

References

Cite all sources that informed your experiment, including research papers, datasets, and tools. This section ensures that your work is properly grounded in existing research and that others can trace the origins of your methods and data.s